chore(release): Update version to v1.4.307

Fabric Installation Improvements and Automated Release Updates

.github/pull_request_template.md

@@ -1,9 +1,12 @@
 ## What this Pull Request (PR) does
+
 Please briefly describe what this PR does.
 
 ## Related issues
+
 Please reference any open issues this PR relates to in here.
 If it closes an issue, type `closes #[ISSUE_NUMBER]`.
 
 ## Screenshots
+
 Provide any screenshots you may find relevant to facilitate us understanding your PR.

.github/workflows/ci.yml

@@ -20,13 +20,13 @@ jobs:
       contents: read
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
 
       - name: Install Nix
         uses: DeterminateSystems/nix-installer-action@main
 
       - name: Set up Go
-        uses: actions/setup-go@v4
+        uses: actions/setup-go@v5
         with:
           go-version-file: ./go.mod
 

.github/workflows/docker-publish-on-tag.yml

@@ -1,149 +0,0 @@
-name: Release Docker image on tag (GHCR + Docker Hub)
-
-on:
-  push:
-    tags: ["v*"] # e.g., v1.4.300
-
-permissions:
-  contents: read
-  packages: write # needed for GHCR with GITHUB_TOKEN
-
-jobs:
-  build-and-push:
-    # Optional safety: only run from your fork
-    if: ${{ github.repository_owner == 'ksylvan' }}
-    runs-on: ubuntu-latest
-
-    outputs:
-      is_latest: ${{ steps.latest.outputs.is_latest }}
-      owner_lc: ${{ steps.vars.outputs.owner_lc }}
-      repo_lc: ${{ steps.vars.outputs.repo_lc }}
-      dockerhub_user_lc: ${{ steps.dh.outputs.user_lc }}
-
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0 # full history for tag comparisons
-
-      - name: Fetch all tags
-        run: git fetch --tags --force
-
-      # More reliable cross-builds
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      # Compute lowercase owner/repo for registry image names
-      - name: Compute image names
-        id: vars
-        run: |
-          OWNER="${GITHUB_REPOSITORY_OWNER}"
-          REPO="${GITHUB_REPOSITORY#*/}"
-          echo "owner_lc=${OWNER,,}" >> "$GITHUB_OUTPUT"
-          echo "repo_lc=${REPO,,}" >> "$GITHUB_OUTPUT"
-
-      # Lowercase Docker Hub username (belt & suspenders)
-      - name: Lowercase Docker Hub username
-        id: dh
-        run: echo "user_lc=${DOCKERHUB_USERNAME,,}" >> "$GITHUB_OUTPUT"
-        env:
-          DOCKERHUB_USERNAME: ${{ vars.DOCKERHUB_USERNAME }}
-
-      # Determine if the current tag is the highest vX.Y.Z (no pre-releases)
-      - name: Is this the latest semver tag?
-        id: latest
-        shell: bash
-        run: |
-          CTAG="${GITHUB_REF_NAME}"
-          LATEST="$(git tag -l 'v[0-9]*.[0-9]*.[0-9]*' --sort=-v:refname | head -n1)"
-          echo "current_tag=$CTAG" >> "$GITHUB_OUTPUT"
-          echo "latest_tag=$LATEST" >> "$GITHUB_OUTPUT"
-          if [[ "$CTAG" == "$LATEST" ]]; then
-            echo "is_latest=true" >> "$GITHUB_OUTPUT"
-          else
-            echo "is_latest=false" >> "$GITHUB_OUTPUT"
-          fi
-
-      # Login to GHCR (uses built-in GITHUB_TOKEN)
-      - name: Log in to GHCR
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      # Login to Docker Hub
-      - name: Log in to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ steps.dh.outputs.user_lc }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-      # Generate versioned tags/labels for BOTH registries (no :latest here)
-      - name: Extract metadata (tags, labels)
-        id: meta
-        uses: docker/metadata-action@v5
-        with:
-          images: |
-            ghcr.io/${{ steps.vars.outputs.owner_lc }}/${{ steps.vars.outputs.repo_lc }}
-            docker.io/${{ steps.dh.outputs.user_lc }}/${{ steps.vars.outputs.repo_lc }}
-          tags: |
-            type=ref,event=tag                        # v1.4.300
-            type=semver,pattern={{version}}           # 1.4.300 (optional)
-            type=semver,pattern={{major}}.{{minor}}   # 1.4 (optional)
-          labels: |
-            org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
-
-      - name: Build and push (multi-arch)
-        uses: docker/build-push-action@v6
-        with:
-          context: .
-          push: true
-          platforms: linux/amd64,linux/arm64
-          tags: ${{ steps.meta.outputs.tags }}
-          labels: ${{ steps.meta.outputs.labels }}
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-
-  # Separate job to (re)point :latest — serialized to avoid races
-  move-latest:
-    needs: build-and-push
-    if: ${{ needs.build-and-push.outputs.is_latest == 'true' }}
-    runs-on: ubuntu-latest
-
-    # Only one "latest" move at a time; newer runs cancel older in-progress ones
-    concurrency:
-      group: latest-${{ github.repository }}
-      cancel-in-progress: true
-
-    steps:
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Log in to GHCR
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Log in to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          username: ${{ vars.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_TOKEN }}
-
-      - name: Tag :latest on GHCR
-        run: |
-          SRC="ghcr.io/${{ needs.build-and-push.outputs.owner_lc }}/${{ needs.build-and-push.outputs.repo_lc }}:${{ github.ref_name }}"
-          DST="ghcr.io/${{ needs.build-and-push.outputs.owner_lc }}/${{ needs.build-and-push.outputs.repo_lc }}:latest"
-          docker buildx imagetools create -t "$DST" "$SRC"
-
-      - name: Tag :latest on Docker Hub
-        run: |
-          SRC="docker.io/${{ needs.build-and-push.outputs.dockerhub_user_lc }}/${{ needs.build-and-push.outputs.repo_lc }}:${{ github.ref_name }}"
-          DST="docker.io/${{ needs.build-and-push.outputs.dockerhub_user_lc }}/${{ needs.build-and-push.outputs.repo_lc }}:latest"
-          docker buildx imagetools create -t "$DST" "$SRC"

.github/workflows/patterns.yaml

@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 0
 
@@ -26,7 +26,6 @@ jobs:
             echo "Changes detected in patterns folder."
             echo "changes=true" >> $GITHUB_OUTPUT
           fi
-
       - name: Zip the Patterns Folder
         if: steps.check-changes.outputs.changes == 'true'
         run: zip -r patterns.zip data/patterns/

.github/workflows/release.yml

@@ -15,149 +15,43 @@ jobs:
       contents: read
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 0
 
       - name: Set up Go
-        uses: actions/setup-go@v4
+        uses: actions/setup-go@v5
         with:
           go-version-file: ./go.mod
 
       - name: Run tests
         run: go test -v ./...
 
-  get_version:
-    name: Get version
-    runs-on: ubuntu-latest
-    outputs:
-      latest_tag: ${{ steps.get_version.outputs.latest_tag }}
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Get version from source
-        id: get_version
-        shell: bash
-        run: |
-          if [ ! -f "nix/pkgs/fabric/version.nix" ]; then
-            echo "Error: version.nix file not found"
-            exit 1
-          fi
-          version=$(cat nix/pkgs/fabric/version.nix | tr -d '"' | tr -cd '0-9.')
-          if [ -z "$version" ]; then
-            echo "Error: version is empty"
-            exit 1
-          fi
-          if ! echo "$version" | grep -E '^[0-9]+\.[0-9]+\.[0-9]+' > /dev/null; then
-            echo "Error: Invalid version format: $version"
-            exit 1
-          fi
-          echo "latest_tag=v$version" >> $GITHUB_OUTPUT
-
   build:
-    name: Build binaries for Windows, macOS, and Linux
-    needs: [test, get_version]
-    runs-on: ${{ matrix.os }}
-    permissions:
-      contents: write
-    strategy:
-      matrix:
-        os: [ubuntu-latest, macos-latest, windows-latest]
-        arch: [amd64, arm64]
-        exclude:
-          - os: windows-latest
-            arch: arm64
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Set up Go
-        uses: actions/setup-go@v4
-        with:
-          go-version-file: ./go.mod
-
-      - name: Build binary on Linux and macOS
-        if: matrix.os != 'windows-latest'
-        env:
-          GOOS: ${{ matrix.os == 'ubuntu-latest' && 'linux' || 'darwin' }}
-          GOARCH: ${{ matrix.arch }}
-        run: |
-          OS_NAME="${{ matrix.os == 'ubuntu-latest' && 'linux' || 'darwin' }}"
-          go build -o fabric-${OS_NAME}-${{ matrix.arch }} ./cmd/fabric
-
-      - name: Build binary on Windows
-        if: matrix.os == 'windows-latest'
-        env:
-          GOOS: windows
-          GOARCH: ${{ matrix.arch }}
-        run: |
-          go build -o fabric-windows-${{ matrix.arch }}.exe ./cmd/fabric
-
-      - name: Upload build artifact
-        if: matrix.os != 'windows-latest'
-        uses: actions/upload-artifact@v4
-        with:
-          name: fabric-${{ matrix.os == 'ubuntu-latest' && 'linux' || 'darwin' }}-${{ matrix.arch }}
-          path: fabric-${{ matrix.os == 'ubuntu-latest' && 'linux' || 'darwin' }}-${{ matrix.arch }}
-
-      - name: Upload build artifact
-        if: matrix.os == 'windows-latest'
-        uses: actions/upload-artifact@v4
-        with:
-          name: fabric-windows-${{ matrix.arch }}.exe
-          path: fabric-windows-${{ matrix.arch }}.exe
-
-      - name: Create release if it doesn't exist
-        shell: bash
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          if ! gh release view ${{ needs.get_version.outputs.latest_tag }} >/dev/null 2>&1; then
-            gh release create ${{ needs.get_version.outputs.latest_tag }} --title "Release ${{ needs.get_version.outputs.latest_tag }}" --notes "Automated release for ${{ needs.get_version.outputs.latest_tag }}"
-          else
-            echo "Release ${{ needs.get_version.outputs.latest_tag }} already exists."
-          fi
-
-      - name: Upload release artifact
-        if: matrix.os == 'windows-latest'
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          gh release upload ${{ needs.get_version.outputs.latest_tag }} fabric-windows-${{ matrix.arch }}.exe
-
-      - name: Upload release artifact
-        if: matrix.os != 'windows-latest'
-        env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          OS_NAME="${{ matrix.os == 'ubuntu-latest' && 'linux' || 'darwin' }}"
-          gh release upload ${{ needs.get_version.outputs.latest_tag }} fabric-${OS_NAME}-${{ matrix.arch }}
-
-  update_release_notes:
-    needs: [build, get_version]
+    # only run in main upstream repo
+    if: ${{ github.repository_owner == 'danielmiessler' }}
+    name: Build & Release with Goreleaser
+    needs: [test]
     runs-on: ubuntu-latest
     permissions:
       contents: write
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 0
-
       - name: Set up Go
-        uses: actions/setup-go@v4
+        uses: actions/setup-go@v5
         with:
           go-version-file: ./go.mod
-
-      - name: Update release description
+      - name: Run GoReleaser
+        uses: goreleaser/goreleaser-action@v6
+        with:
+          distribution: goreleaser
+          args: release --clean
         env:
-          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: |
-          go run ./cmd/generate_changelog --sync-db
-          go run ./cmd/generate_changelog --release ${{ needs.get_version.outputs.latest_tag }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      - name: Update Release Description
+        run: go run ./cmd/generate_changelog --release ${{ github.event.client_payload.tag || github.ref_name }}
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/update-version-and-create-tag.yml

@@ -6,12 +6,12 @@ on:
       - main # Monitor the main branch
     paths-ignore:
       - "data/patterns/**"
-      - "**/*.md"
       - "data/strategies/**"
       - "cmd/generate_changelog/*.db"
       - "cmd/generate_changelog/incoming/*.txt"
       - "scripts/pattern_descriptions/*.json"
       - "web/static/data/pattern_descriptions.json"
+      - "**/*.md"
 
 permissions:
   contents: write # Ensure the workflow has write permissions
@@ -22,12 +22,13 @@ concurrency:
 
 jobs:
   update-version:
-    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
+    if: >
+      ${{ github.repository_owner == 'danielmiessler' }} &&
+      github.event_name == 'push' && github.ref == 'refs/heads/main'
     runs-on: ubuntu-latest
-
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 0
 
@@ -49,12 +50,13 @@ jobs:
         run: |
           latest_tag=$(git tag --sort=-creatordate | head -n 1)
           echo "Latest tag is: $latest_tag"
+          echo "tag=$latest_tag" >> $GITHUB_OUTPUT
           echo "tag=$latest_tag" >> $GITHUB_ENV  # Save the latest tag to environment file
 
       - name: Increment patch version
         id: increment_version
         run: |
-          latest_tag=${{ env.tag }}
+          latest_tag=${{ steps.get_latest_tag.outputs.tag }}
           major=$(echo "$latest_tag" | cut -d. -f1 | sed 's/v//')
           minor=$(echo "$latest_tag" | cut -d. -f2)
           patch=$(echo "$latest_tag" | cut -d. -f3)
@@ -62,19 +64,21 @@ jobs:
           new_version="${major}.${minor}.${new_patch}"
           new_tag="v${new_version}"
           echo "New version is: $new_version"
+          echo "new_version=$new_version" >> $GITHUB_OUTPUT
           echo "new_version=$new_version" >> $GITHUB_ENV  # Save the new version to environment file
           echo "New tag is: $new_tag"
+          echo "new_tag=$new_tag" >> $GITHUB_OUTPUT
           echo "new_tag=$new_tag" >> $GITHUB_ENV  # Save the new tag to environment file
 
       - name: Update version.go file
         run: |
           echo "package main" > cmd/fabric/version.go
           echo "" >> cmd/fabric/version.go
-          echo "var version = \"${{ env.new_tag }}\"" >> cmd/fabric/version.go
+          echo "var version = \"${{ steps.increment_version.outputs.new_tag }}\"" >> cmd/fabric/version.go
 
       - name: Update version.nix file
         run: |
-          echo "\"${{ env.new_version }}\"" > nix/pkgs/fabric/version.nix
+          echo "\"${{ steps.increment_version.outputs.new_version }}\"" > nix/pkgs/fabric/version.nix
 
       - name: Format source code
         run: |
@@ -88,7 +92,7 @@ jobs:
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         run: |
-          go run ./cmd/generate_changelog --process-prs ${{ env.new_tag }}
+          go run ./cmd/generate_changelog --process-prs ${{ steps.increment_version.outputs.new_tag }}
           go run ./cmd/generate_changelog --sync-db
       - name: Commit changes
         run: |
@@ -101,7 +105,7 @@ jobs:
           # and removing the incoming/ directory.
 
           if ! git diff --staged --quiet; then
-            git commit -m "chore(release): Update version to ${{ env.new_tag }}"
+            git commit -m "chore(release): Update version to ${{ steps.increment_version.outputs.new_tag }}"
           else
             echo "No changes to commit."
           fi
@@ -114,10 +118,10 @@ jobs:
 
       - name: Create a new tag
         env:
-          GITHUB_TOKEN: ${{ secrets.TAG_PAT }}
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         run: |
-          git tag ${{ env.new_tag }}
-          git push origin ${{ env.new_tag }}  # Push the new tag
+          git tag ${{ steps.increment_version.outputs.new_tag }}
+          git push origin ${{ steps.increment_version.outputs.new_tag }}  # Push the new tag
 
       - name: Dispatch event to trigger release workflow
         env:
@@ -127,4 +131,4 @@ jobs:
             -H "Authorization: token $GITHUB_TOKEN" \
             -H "Accept: application/vnd.github.v3+json" \
             https://api.github.com/repos/${{ github.repository }}/dispatches \
-            -d '{"event_type": "tag_created", "client_payload": {"tag": "${{ env.new_tag }}"}}'
+            -d '{"event_type": "tag_created", "client_payload": {"tag": "${{ steps.increment_version.outputs.new_tag }}"}}'

.goreleaser.yaml

@@ -0,0 +1,36 @@
+# Read the documentation at https://goreleaser.com
+
+version: 2
+
+project_name: fabric
+before:
+  hooks:
+    # You may remove this if you don't use go modules.
+    - go mod tidy
+    # you may remove this if you don't need go generate
+    # - go generate ./...
+
+builds:
+  - env:
+      - CGO_ENABLED=0
+    goos:
+      - linux
+      - windows
+      - darwin
+    main: ./cmd/fabric
+    binary: fabric
+
+archives:
+  - formats: [tar.gz]
+    # this name template makes the OS and Arch compatible with the results of `uname`.
+    name_template: >-
+      {{ .ProjectName }}_
+      {{- title .Os }}_
+      {{- if eq .Arch "amd64" }}x86_64
+      {{- else if eq .Arch "386" }}i386
+      {{- else }}{{ .Arch }}{{ end }}
+      {{- if .Arm }}v{{ .Arm }}{{ end }}
+    # use zip for windows archives
+    format_overrides:
+      - goos: windows
+        formats: [zip]

.vscode/settings.json

@@ -38,6 +38,7 @@
 		"editability",
 		"Eisler",
 		"elif",
+		"Elister",
 		"envrc",
 		"Erinome",
 		"Errorf",
@@ -64,6 +65,7 @@
 		"goopenai",
 		"GOPATH",
 		"gopkg",
+		"Goreleaser",
 		"GOROOT",
 		"Graphviz",
 		"grokai",
@@ -104,11 +106,14 @@
 		"mbed",
 		"metacharacters",
 		"Miessler",
+		"modeline",
+		"modelines",
 		"mpga",
 		"nometa",
 		"numpy",
 		"ollama",
 		"ollamaapi",
+		"Omri",
 		"openaiapi",
 		"opencode",
 		"opencontainers",
@@ -157,9 +162,12 @@
 		"unconfigured",
 		"unmarshalling",
 		"updatepatterns",
+		"useb",
+		"USERPROFILE",
 		"videoid",
 		"webp",
 		"WEBVTT",
+		"winget",
 		"wipecontext",
 		"wipesession",
 		"wireframes",
@@ -170,7 +178,12 @@
 		"youtu",
 		"YTDLP"
 	],
-	"cSpell.ignorePaths": ["go.mod", ".gitignore", "CHANGELOG.md"],
+	"cSpell.ignorePaths": [
+		"go.mod",
+		".gitignore",
+		"CHANGELOG.md",
+		"./scripts/installer/install.*"
+	],
 	"markdownlint.config": {
 		"MD004": false,
 		"MD011": false,

CHANGELOG.md

@@ -1,5 +1,75 @@
 # Changelog
 
+## v1.4.307 (2025-09-01)
+
+### PR [#1745](https://github.com/danielmiessler/Fabric/pull/1745) by [ksylvan](https://github.com/ksylvan): Fabric Installation Improvements and Automated Release Updates
+
+- Streamlined install process with one-line installer scripts and updated documentation
+- Added bash installer script for Unix systems
+- Added PowerShell installer script for Windows
+- Created installer documentation with usage examples
+- Simplified README installation with one-line installers
+
+## v1.4.306 (2025-09-01)
+
+### PR [#1742](https://github.com/danielmiessler/Fabric/pull/1742) by [ksylvan](https://github.com/ksylvan): Documentation and Pattern Updates
+
+- Add winget installation method for Windows users
+- Include Docker Hub and GHCR image references with docker run examples
+- Remove deprecated PowerShell download link and unused show_fabric_options_markmap pattern
+- Update suggest_pattern with new AI patterns
+- Add personal development patterns for storytelling
+
+## v1.4.305 (2025-08-31)
+
+### PR [#1741](https://github.com/danielmiessler/Fabric/pull/1741) by [ksylvan](https://github.com/ksylvan): CI: Fix Release Description Update
+
+- Fix: update release workflow to support manual dispatch with custom tag
+- Support custom tag from client payload in workflow
+- Fallback to github.ref_name when no custom tag provided
+- Enable manual release triggers with specified tag parameter
+
+## v1.4.304 (2025-08-31)
+
+### PR [#1740](https://github.com/danielmiessler/Fabric/pull/1740) by [ksylvan](https://github.com/ksylvan): Restore our custom Changelog Updates in GitHub Actions
+
+- Add changelog generation step to GitHub release workflow
+- Create updateReleaseForRepo helper method for release updates
+- Add fork detection logic in UpdateReleaseDescription method
+- Implement upstream repository release update for forks
+- Enhance error handling with detailed repository context
+
+## v1.4.303 (2025-08-28)
+
+### PR [#1736](https://github.com/danielmiessler/Fabric/pull/1736) by [tonymet](https://github.com/tonymet): Winget Publishing and GoReleaser
+
+- Added GoReleaser support for improved package distribution
+- Winget and Docker publishing moved to ksylvan/fabric-packager GitHub repo
+- Hardened release pipeline by gating workflows to upstream owner only
+- Migrated from custom tokens to built-in GITHUB_TOKEN for enhanced security
+- Removed docker-publish-on-tag workflow to reduce duplication and complexity
+- Added ARM binary release support with updated documentation
+
+## v1.4.302 (2025-08-28)
+
+### PR [#1737](https://github.com/danielmiessler/Fabric/pull/1737) by [ksylvan](https://github.com/ksylvan) and [OmriH-Elister](https://github.com/OmriH-Elister): Add New Psychological Analysis Patterns + devalue version bump
+
+- Add create_story_about_person system pattern with narrative workflow
+- Add heal_person system pattern for compassionate healing plans
+- Update pattern_explanations to register new patterns and renumber indices
+- Extend pattern_descriptions with entries, tags, and concise descriptions
+- Bump devalue dependency from 5.1.1 to 5.3.2
+
+## v1.4.301 (2025-08-28)
+
+### PR [#1735](https://github.com/danielmiessler/Fabric/pull/1735) by [ksylvan](https://github.com/ksylvan): Fix Docker Build Path Configuration
+
+- Fix: update Docker workflow to use specific Dockerfile and monitor markdown file changes
+- Add explicit Dockerfile path to Docker build action
+- Remove markdown files from workflow paths-ignore filter
+- Enable CI triggers for documentation file changes
+- Specify Docker build context with custom file location
+
 ## v1.4.300 (2025-08-28)
 
 ### PR [#1732](https://github.com/danielmiessler/Fabric/pull/1732) by [ksylvan](https://github.com/ksylvan): CI Infra: Changelog Generation Tool + Docker Image Pubishing

README.md

@@ -57,6 +57,7 @@ Below are the **new features and capabilities** we've added (newest first):
 
 ### Recent Major Features
 
+- [v1.4.303](https://github.com/danielmiessler/fabric/releases/tag/v1.4.303) (Aug 29, 2025) — **New Binary Releases**: Linux ARM and Windows ARM targets. You can run Fabric on the Raspberry PI and on your Windows Surface!
 - [v1.4.294](https://github.com/danielmiessler/fabric/releases/tag/v1.4.294) (Aug 20, 2025) — **Venice AI Support**: Added the Venice AI provider. Venice is a Privacy-First, Open-Source AI provider. See their ["About Venice"](https://docs.venice.ai/overview/about-venice) page for details.
 - [v1.4.291](https://github.com/danielmiessler/fabric/releases/tag/v1.4.291) (Aug 18, 2025) — **Speech To Text**: Add OpenAI speech-to-text support with `--transcribe-file`, `--transcribe-model`, and `--split-media-file` flags.
 - [v1.4.287](https://github.com/danielmiessler/fabric/releases/tag/v1.4.287) (Aug 16, 2025) — **AI Reasoning**: Add Thinking to Gemini models and introduce `readme_updates` python script
@@ -117,16 +118,14 @@ Keep in mind that many of these were recorded when Fabric was Python-based, so r
     - [Breaking problems into components](#breaking-problems-into-components)
     - [Too many prompts](#too-many-prompts)
   - [Installation](#installation)
-    - [Get Latest Release Binaries](#get-latest-release-binaries)
-      - [Windows](#windows)
-      - [macOS (arm64)](#macos-arm64)
-      - [macOS (amd64)](#macos-amd64)
-      - [Linux (amd64)](#linux-amd64)
-      - [Linux (arm64)](#linux-arm64)
+    - [One-Line Install (Recommended)](#one-line-install-recommended)
+    - [Manual Binary Downloads](#manual-binary-downloads)
     - [Using package managers](#using-package-managers)
       - [macOS (Homebrew)](#macos-homebrew)
       - [Arch Linux (AUR)](#arch-linux-aur)
+      - [Windows](#windows)
     - [From Source](#from-source)
+    - [Docker](#docker)
     - [Environment Variables](#environment-variables)
     - [Setup](#setup)
     - [Per-Pattern Model Mapping](#per-pattern-model-mapping)
@@ -203,40 +202,25 @@ Fabric has Patterns for all sorts of life and work activities, including:
 
 ## Installation
 
-To install Fabric, you can use the latest release binaries or install it from the source.
+### One-Line Install (Recommended)
 
-### Get Latest Release Binaries
+**Unix/Linux/macOS:**
 
-#### Windows
-
-`https://github.com/danielmiessler/fabric/releases/latest/download/fabric-windows-amd64.exe`
-
-Or via PowerShell, just copy and paste and run the following snippet to install the binary into `{HOME}\.local\bin`. Please make sure that directory is included in your `PATH`.
-
-```powershell
-$ErrorActionPreference = "Stop"
-$LATEST="https://github.com/danielmiessler/fabric/releases/latest/download/fabric-windows-amd64.exe"
-$DIR="${HOME}\.local\bin"
-New-Item -Path $DIR -ItemType Directory -Force
-Invoke-WebRequest -URI  "${LATEST}" -outfile "${DIR}\fabric.exe"
-& "${DIR}\fabric.exe" /version
+```bash
+curl -fsSL https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.sh | bash
 ```
 
-#### macOS (arm64)
+**Windows PowerShell:**
 
-`curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-darwin-arm64 > fabric && chmod +x fabric && ./fabric --version`
+```powershell
+iwr -useb https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.ps1 | iex
+```
 
-#### macOS (amd64)
+> See [scripts/installer/README.md](./scripts/installer/README.md) for custom installation options and troubleshooting.
 
-`curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-darwin-amd64 > fabric && chmod +x fabric && ./fabric --version`
+### Manual Binary Downloads
 
-#### Linux (amd64)
-
-`curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-linux-amd64 > fabric && chmod +x fabric && ./fabric --version`
-
-#### Linux (arm64)
-
-`curl -L https://github.com/danielmiessler/fabric/releases/latest/download/fabric-linux-arm64 > fabric && chmod +x fabric && ./fabric --version`
+The latest release binary archives and their expected SHA256 hashes can be found at <https://github.com/danielmiessler/fabric/releases/latest>
 
 ### Using package managers
 
@@ -255,6 +239,12 @@ alias fabric='fabric-ai'
 
 `yay -S fabric-ai`
 
+#### Windows
+
+Use the official Microsoft supported `Winget` tool:
+
+`winget install danielmiessler.Fabric`
+
 ### From Source
 
 To install Fabric, [make sure Go is installed](https://go.dev/doc/install), and then run the following command.
@@ -264,6 +254,35 @@ To install Fabric, [make sure Go is installed](https://go.dev/doc/install), and
 go install github.com/danielmiessler/fabric/cmd/fabric@latest
 ```
 
+### Docker
+
+Run Fabric using pre-built Docker images:
+
+```bash
+# Use latest image from Docker Hub
+docker run --rm -it kayvan/fabric:latest --version
+
+# Use specific version from GHCR
+docker run --rm -it ghcr.io/ksylvan/fabric:v1.4.305 --version
+
+# Run setup (first time)
+mkdir -p $HOME/.fabric-config
+docker run --rm -it -v $HOME/.fabric-config:/root/.config/fabric kayvan/fabric:latest --setup
+
+# Use Fabric with your patterns
+docker run --rm -it -v $HOME/.fabric-config:/root/.config/fabric kayvan/fabric:latest -p summarize
+
+# Run the REST API server
+docker run --rm -it -p 8080:8080 -v $HOME/.fabric-config:/root/.config/fabric kayvan/fabric:latest --serve
+```
+
+**Images available at:**
+
+- Docker Hub: [kayvan/fabric](https://hub.docker.com/repository/docker/kayvan/fabric/general)
+- GHCR: [ksylvan/fabric](https://github.com/ksylvan/fabric/pkgs/container/fabric)
+
+See [scripts/docker/README.md](./scripts/docker/README.md) for building custom images and advanced configuration.
+
 ### Environment Variables
 
 You may need to set some environment variables in your `~/.bashrc` on linux or `~/.zshrc` file on mac to be able to run the `fabric` command. Here is an example of what you can add:

cmd/fabric/version.go

@@ -1,3 +1,3 @@
 package main
 
-var version = "v1.4.300"
+var version = "v1.4.307"

cmd/generate_changelog/internal/release.go

@@ -101,17 +101,49 @@ func (rm *ReleaseManager) UpdateReleaseDescription(version string) error {
 		client = github.NewClient(nil)
 	}
 
-	release, _, err := client.Repositories.GetReleaseByTag(ctx, rm.owner, rm.repo, version)
+	// Check if current repository is a fork by getting repo details
+	repo, _, err := client.Repositories.Get(ctx, rm.owner, rm.repo)
+	if err != nil {
+		return fmt.Errorf("failed to get repository info: %w", err)
+	}
+
+	// If repository is a fork, try updating the upstream (parent) repository first
+	if repo.Parent != nil {
+		parentOwner := repo.Parent.Owner.GetLogin()
+		parentRepo := repo.Parent.GetName()
+
+		fmt.Printf("Repository is a fork of %s/%s, attempting to update upstream release...\n", parentOwner, parentRepo)
+
+		err := rm.updateReleaseForRepo(ctx, client, parentOwner, parentRepo, version, releaseBody)
+		if err == nil {
+			fmt.Printf("Successfully updated release description for %s in upstream repository %s/%s\n", version, parentOwner, parentRepo)
+			return nil
+		}
+
+		fmt.Printf("Failed to update upstream repository: %v\nFalling back to current repository...\n", err)
+	}
+
+	// Update current repository (either not a fork or upstream update failed)
+	err = rm.updateReleaseForRepo(ctx, client, rm.owner, rm.repo, version, releaseBody)
+	if err != nil {
+		return fmt.Errorf("failed to update release description for version %s in repository %s/%s: %w", version, rm.owner, rm.repo, err)
+	}
+
+	fmt.Printf("Successfully updated release description for %s in repository %s/%s\n", version, rm.owner, rm.repo)
+	return nil
+}
+
+func (rm *ReleaseManager) updateReleaseForRepo(ctx context.Context, client *github.Client, owner, repo, version, releaseBody string) error {
+	release, _, err := client.Repositories.GetReleaseByTag(ctx, owner, repo, version)
 	if err != nil {
 		return fmt.Errorf("failed to get release for version %s: %w", version, err)
 	}
 
 	release.Body = &releaseBody
-	_, _, err = client.Repositories.EditRelease(ctx, rm.owner, rm.repo, *release.ID, release)
+	_, _, err = client.Repositories.EditRelease(ctx, owner, repo, *release.ID, release)
 	if err != nil {
 		return fmt.Errorf("failed to update release description for version %s: %w", version, err)
 	}
 
-	fmt.Printf("Successfully updated release description for %s\n", version)
 	return nil
 }

data/patterns/create_story_about_person/system.md

@@ -0,0 +1,26 @@
+You are an expert creative writer specializing in character-driven narratives, and a keen observer of human psychology. Your task is to craft a compelling, realistic short story based on a psychological profile or personal data provided by the user.
+
+**Input:**
+The user will provide a psychological profile or descriptive data about a fictional or real person. This input will be clearly delimited by triple backticks (```). It may include personality traits, habits, fears, motivations, strengths, weaknesses, background information, or specific behavioral patterns.
+
+**Task Steps:**
+
+1.  **Analyze Profile:** Carefully read and internalize the provided psychological profile. Identify the core personality traits, typical reactions, strengths, and vulnerabilities of the individual.
+2.  **Brainstorm Challenges:** Based on the analysis from Step 1, generate 3-5 common, relatable, everyday problems or minor dilemmas that a person with this specific profile might genuinely encounter. These challenges should be varied and could span social, professional, personal, or emotional domains.
+3.  **Develop Strategies:** For each identified problem from Step 2, devise 1-2 specific, plausible methods or strategies that the character, consistent with their psychological profile, would naturally employ (or attempt to employ) to navigate, cope with, or solve these challenges. Consider both internal thought processes and external actions.
+4.  **Construct Narrative:** Weave these problems and the character's responses into a cohesive, engaging short story (approximately 500-700 words, 3-5 paragraphs). The story should have a clear narrative flow, introducing the character, presenting the challenges, and showing their journey through them.
+5.  **Maintain Consistency:** Throughout the story, ensure the character's actions, dialogue, internal monologue, and emotional reactions are consistently aligned with the psychological profile provided. The story should feel authentic to the character.
+
+**Output Requirements:**
+
+*   **Format:** A continuous narrative short story.
+*   **Tone:** Empathetic, realistic, and engaging.
+*   **Content:** The story must clearly depict the character facing everyday problems and demonstrate their unique methods and strategies for navigating these challenges, directly reflecting the input profile.
+*   **Length:** Approximately 500-700 words.
+*   **Avoid:** Overly dramatic or fantastical scenarios unless the profile explicitly suggests such a context. Focus on the 'everyday common problems'.
+
+**Example of Input Format:**
+
+```
+[Psychological Profile/Data Here]
+```

data/patterns/heal_person/system.md

@@ -0,0 +1,53 @@
+# IDENTITY and PURPOSE
+
+You are an AI assistant whose primary responsibility is to interpret and analyze psychological profiles and/or psychology data files provided as input. Your role is to carefully process this data and use your expertise to develop a tailored plan aimed at spiritual and mental healing, as well as overall life improvement for the subject. You must approach each case with sensitivity, applying psychological knowledge and holistic strategies to create actionable, personalized recommendations that address both mental and spiritual well-being. Your focus is on structured, compassionate, and practical guidance that can help the individual make meaningful improvements in their life.
+
+Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+# STEPS
+
+- Carefully review the psychological-profile and/or psychology data file provided as input.
+
+- Analyze the data to identify key issues, strengths, and areas needing improvement related to the subject's mental and spiritual well-being.
+
+- Develop a comprehensive plan that includes specific strategies for spiritual healing, mental health improvement, and overall life enhancement.
+
+- Structure your output to clearly outline recommendations, resources, and actionable steps tailored to the individual's unique profile.
+
+# OUTPUT INSTRUCTIONS
+
+- Only output Markdown.
+
+- Ensure your output is organized, clear, and easy to follow, using headings, subheadings, and bullet points where appropriate.
+
+- Ensure you follow ALL these instructions when creating your output.
+
+# INPUT
+
+INPUT:# IDENTITY and PURPOSE
+
+You are an AI assistant whose primary responsibility is to interpret and analyze psychological profiles and/or psychology data files provided as input. Your role is to carefully process this data and use your expertise to develop a tailored plan aimed at spiritual and mental healing, as well as overall life improvement for the subject. You must approach each case with sensitivity, applying psychological knowledge and holistic strategies to create actionable, personalized recommendations that address both mental and spiritual well-being. Your focus is on structured, compassionate, and practical guidance that can help the individual make meaningful improvements in their life.
+
+Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
+
+# STEPS
+
+- Carefully review the psychological-profile and/or psychology data file provided as input.
+
+- Analyze the data to identify key issues, strengths, and areas needing improvement related to the subject's mental and spiritual well-being.
+
+- Develop a comprehensive plan that includes specific strategies for spiritual healing, mental health improvement, and overall life enhancement.
+
+- Structure your output to clearly outline recommendations, resources, and actionable steps tailored to the individual's unique profile.
+
+# OUTPUT INSTRUCTIONS
+
+- Only output Markdown.
+
+- Ensure your output is organized, clear, and easy to follow, using headings, subheadings, and bullet points where appropriate.
+
+- Ensure you follow ALL these instructions when creating your output.
+
+# INPUT
+
+INPUT:

data/patterns/pattern_explanations.md

@@ -88,136 +88,137 @@
 84. **create_security_update**: Creates concise security updates for newsletters, covering stories, threats, advisories, vulnerabilities, and a summary of key issues.
 85. **create_show_intro**: Creates compelling short intros for podcasts, summarizing key topics and themes discussed in the episode.
 86. **create_sigma_rules**: Extracts Tactics, Techniques, and Procedures (TTPs) from security news and converts them into Sigma detection rules for host-based detections.
-87. **create_story_explanation**: Summarizes complex content in a clear, approachable story format that makes the concepts easy to understand.
-88. **create_stride_threat_model**: Create a STRIDE-based threat model for a system design, identifying assets, trust boundaries, data flows, and prioritizing threats with mitigations.
-89. **create_summary**: Summarizes content into a 20-word sentence, 10 main points (16 words max), and 5 key takeaways in Markdown format.
-90. **create_tags**: Identifies at least 5 tags from text content for mind mapping tools, including authors and existing tags if present.
-91. **create_threat_scenarios**: Identifies likely attack methods for any system by providing a narrative-based threat model, balancing risk and opportunity.
-92. **create_ttrc_graph**: Creates a CSV file showing the progress of Time to Remediate Critical Vulnerabilities over time using given data.
-93. **create_ttrc_narrative**: Creates a persuasive narrative highlighting progress in reducing the Time to Remediate Critical Vulnerabilities metric over time.
-94. **create_upgrade_pack**: Extracts world model and task algorithm updates from content, providing beliefs about how the world works and task performance.
-95. **create_user_story**: Writes concise and clear technical user stories for new features in complex software programs, formatted for all stakeholders.
-96. **create_video_chapters**: Extracts interesting topics and timestamps from a transcript, providing concise summaries of key moments.
-97. **create_visualization**: Transforms complex ideas into visualizations using intricate ASCII art, simplifying concepts where necessary.
-98. **dialog_with_socrates**: Engages in deep, meaningful dialogues to explore and challenge beliefs using the Socratic method.
-99. **enrich_blog_post**: Enhances Markdown blog files by applying instructions to improve structure, visuals, and readability for HTML rendering.
-100. **explain_code**: Explains code, security tool output, configuration text, and answers questions based on the provided input.
-101. **explain_docs**: Improves and restructures tool documentation into clear, concise instructions, including overviews, usage, use cases, and key features.
-102. **explain_math**: Helps you understand mathematical concepts in a clear and engaging way.
-103. **explain_project**: Summarizes project documentation into clear, concise sections covering the project, problem, solution, installation, usage, and examples.
-104. **explain_terms**: Produces a glossary of advanced terms from content, providing a definition, analogy, and explanation of why each term matters.
-105. **export_data_as_csv**: Extracts and outputs all data structures from the input in properly formatted CSV data.
-106. **extract_algorithm_update_recommendations**: Extracts concise, practical algorithm update recommendations from the input and outputs them in a bulleted list.
-107. **extract_article_wisdom**: Extracts surprising, insightful, and interesting information from content, categorizing it into sections like summary, ideas, quotes, facts, references, and recommendations.
-108. **extract_book_ideas**: Extracts and outputs 50 to 100 of the most surprising, insightful, and interesting ideas from a book's content.
-109. **extract_book_recommendations**: Extracts and outputs 50 to 100 practical, actionable recommendations from a book's content.
-110. **extract_business_ideas**: Extracts top business ideas from content and elaborates on the best 10 with unique differentiators.
-111. **extract_controversial_ideas**: Extracts and outputs controversial statements and supporting quotes from the input in a structured Markdown list.
-112. **extract_core_message**: Extracts and outputs a clear, concise sentence that articulates the core message of a given text or body of work.
-113. **extract_ctf_writeup**: Extracts a short writeup from a warstory-like text about a cyber security engagement.
-114. **extract_domains**: Extracts domains and URLs from content to identify sources used for articles, newsletters, and other publications.
-115. **extract_extraordinary_claims**: Extracts and outputs a list of extraordinary claims from conversations, focusing on scientifically disputed or false statements.
-116. **extract_ideas**: Extracts and outputs all the key ideas from input, presented as 15-word bullet points in Markdown.
-117. **extract_insights**: Extracts and outputs the most powerful and insightful ideas from text, formatted as 16-word bullet points in the INSIGHTS section, also IDEAS section.
-118. **extract_insights_dm**: Extracts and outputs all valuable insights and a concise summary of the content, including key points and topics discussed.
-119. **extract_instructions**: Extracts clear, actionable step-by-step instructions and main objectives from instructional video transcripts, organizing them into a concise list.
-120. **extract_jokes**: Extracts jokes from text content, presenting each joke with its punchline in separate bullet points.
-121. **extract_latest_video**: Extracts the latest video URL from a YouTube RSS feed and outputs the URL only.
-122. **extract_main_activities**: Extracts key events and activities from transcripts or logs, providing a summary of what happened.
-123. **extract_main_idea**: Extracts the main idea and key recommendation from the input, summarizing them in 15-word sentences.
-124. **extract_most_redeeming_thing**: Extracts the most redeeming aspect from an input, summarizing it in a single 15-word sentence.
-125. **extract_patterns**: Extracts and analyzes recurring, surprising, and insightful patterns from input, providing detailed analysis and advice for builders.
-126. **extract_poc**: Extracts proof of concept URLs and validation methods from security reports, providing the URL and command to run.
-127. **extract_predictions**: Extracts predictions from input, including specific details such as date, confidence level, and verification method.
-128. **extract_primary_problem**: Extracts the primary problem with the world as presented in a given text or body of work.
-129. **extract_primary_solution**: Extracts the primary solution for the world as presented in a given text or body of work.
-130. **extract_product_features**: Extracts and outputs a list of product features from the provided input in a bulleted format.
-131. **extract_questions**: Extracts and outputs all questions asked by the interviewer in a conversation or interview.
-132. **extract_recipe**: Extracts and outputs a recipe with a short meal description, ingredients with measurements, and preparation steps.
-133. **extract_recommendations**: Extracts and outputs concise, practical recommendations from a given piece of content in a bulleted list.
-134. **extract_references**: Extracts and outputs a bulleted list of references to art, stories, books, literature, and other sources from content.
-135. **extract_skills**: Extracts and classifies skills from a job description into a table, separating each skill and classifying it as either hard or soft.
-136. **extract_song_meaning**: Analyzes a song to provide a summary of its meaning, supported by detailed evidence from lyrics, artist commentary, and fan analysis.
-137. **extract_sponsors**: Extracts and lists official sponsors and potential sponsors from a provided transcript.
-138. **extract_videoid**: Extracts and outputs the video ID from any given URL.
-139. **extract_wisdom**: Extracts surprising, insightful, and interesting information from text on topics like human flourishing, AI, learning, and more.
-140. **extract_wisdom_agents**: Extracts valuable insights, ideas, quotes, and references from content, emphasizing topics like human flourishing, AI, learning, and technology.
-141. **extract_wisdom_dm**: Extracts all valuable, insightful, and thought-provoking information from content, focusing on topics like human flourishing, AI, learning, and technology.
-142. **extract_wisdom_nometa**: Extracts insights, ideas, quotes, habits, facts, references, and recommendations from content, focusing on human flourishing, AI, technology, and related topics.
-143. **find_female_life_partner**: Analyzes criteria for finding a female life partner and provides clear, direct, and poetic descriptions.
-144. **find_hidden_message**: Extracts overt and hidden political messages, justifications, audience actions, and a cynical analysis from content.
-145. **find_logical_fallacies**: Identifies and analyzes fallacies in arguments, classifying them as formal or informal with detailed reasoning.
-146. **get_wow_per_minute**: Determines the wow-factor of content per minute based on surprise, novelty, insight, value, and wisdom, measuring how rewarding the content is for the viewer.
-147. **get_youtube_rss**: Returns the RSS URL for a given YouTube channel based on the channel ID or URL.
-148. **humanize**: Rewrites AI-generated text to sound natural, conversational, and easy to understand, maintaining clarity and simplicity.
-149. **identify_dsrp_distinctions**: Encourages creative, systems-based thinking by exploring distinctions, boundaries, and their implications, drawing on insights from prominent systems thinkers.
-150. **identify_dsrp_perspectives**: Explores the concept of distinctions in systems thinking, focusing on how boundaries define ideas, influence understanding, and reveal or obscure insights.
-151. **identify_dsrp_relationships**: Encourages exploration of connections, distinctions, and boundaries between ideas, inspired by systems thinkers to reveal new insights and patterns in complex systems.
-152. **identify_dsrp_systems**: Encourages organizing ideas into systems of parts and wholes, inspired by systems thinkers to explore relationships and how changes in organization impact meaning and understanding.
-153. **identify_job_stories**: Identifies key job stories or requirements for roles.
-154. **improve_academic_writing**: Refines text into clear, concise academic language while improving grammar, coherence, and clarity, with a list of changes.
-155. **improve_prompt**: Improves an LLM/AI prompt by applying expert prompt writing strategies for better results and clarity.
-156. **improve_report_finding**: Improves a penetration test security finding by providing detailed descriptions, risks, recommendations, references, quotes, and a concise summary in markdown format.
-157. **improve_writing**: Refines text by correcting grammar, enhancing style, improving clarity, and maintaining the original meaning. skills.
-158. **judge_output**: Evaluates Honeycomb queries by judging their effectiveness, providing critiques and outcomes based on language nuances and analytics relevance.
-159. **label_and_rate**: Labels content with up to 20 single-word tags and rates it based on idea count and relevance to human meaning, AI, and other related themes, assigning a tier (S, A, B, C, D) and a quality score.
-160. **md_callout**: Classifies content and generates a markdown callout based on the provided text, selecting the most appropriate type.
-161. **official_pattern_template**: Template to use if you want to create new fabric patterns.
-162. **prepare_7s_strategy**: Prepares a comprehensive briefing document from 7S's strategy capturing organizational profile, strategic elements, and market dynamics with clear, concise, and organized content.
-163. **provide_guidance**: Provides psychological and life coaching advice, including analysis, recommendations, and potential diagnoses, with a compassionate and honest tone.
-164. **rate_ai_response**: Rates the quality of AI responses by comparing them to top human expert performance, assigning a letter grade, reasoning, and providing a 1-100 score based on the evaluation.
-165. **rate_ai_result**: Assesses the quality of AI/ML/LLM work by deeply analyzing content, instructions, and output, then rates performance based on multiple dimensions, including coverage, creativity, and interdisciplinary thinking.
-166. **rate_content**: Labels content with up to 20 single-word tags and rates it based on idea count and relevance to human meaning, AI, and other related themes, assigning a tier (S, A, B, C, D) and a quality score.
-167. **rate_value**: Produces the best possible output by deeply analyzing and understanding the input and its intended purpose.
-168. **raw_query**: Fully digests and contemplates the input to produce the best possible result based on understanding the sender's intent.
-169. **recommend_artists**: Recommends a personalized festival schedule with artists aligned to your favorite styles and interests, including rationale.
-170. **recommend_pipeline_upgrades**: Optimizes vulnerability-checking pipelines by incorporating new information and improving their efficiency, with detailed explanations of changes.
-171. **recommend_talkpanel_topics**: Produces a clean set of proposed talks or panel talking points for a person based on their interests and goals, formatted for submission to a conference organizer.
-172. **refine_design_document**: Refines a design document based on a design review by analyzing, mapping concepts, and implementing changes using valid Markdown.
-173. **review_design**: Reviews and analyzes architecture design, focusing on clarity, component design, system integrations, security, performance, scalability, and data management.
-174. **sanitize_broken_html_to_markdown**: Converts messy HTML into clean, properly formatted Markdown, applying custom styling and ensuring compatibility with Vite.
-175. **show_fabric_options_markmap**: Visualizes the functionality of the Fabric framework by representing its components, commands, and features based on the provided input.
-176. **solve_with_cot**: Provides detailed, step-by-step responses with chain of thought reasoning, using structured thinking, reflection, and output sections.
-177. **suggest_pattern**: Suggests appropriate fabric patterns or commands based on user input, providing clear explanations and options for users.
-178. **summarize**: Summarizes content into a 20-word sentence, main points, and takeaways, formatted with numbered lists in Markdown.
-179. **summarize_board_meeting**: Creates formal meeting notes from board meeting transcripts for corporate governance documentation.
-180. **summarize_debate**: Summarizes debates, identifies primary disagreement, extracts arguments, and provides analysis of evidence and argument strength to predict outcomes.
-181. **summarize_git_changes**: Summarizes recent project updates from the last 7 days, focusing on key changes with enthusiasm.
-182. **summarize_git_diff**: Summarizes and organizes Git diff changes with clear, succinct commit messages and bullet points.
-183. **summarize_lecture**: Extracts relevant topics, definitions, and tools from lecture transcripts, providing structured summaries with timestamps and key takeaways.
-184. **summarize_legislation**: Summarizes complex political proposals and legislation by analyzing key points, proposed changes, and providing balanced, positive, and cynical characterizations.
-185. **summarize_meeting**: Analyzes meeting transcripts to extract a structured summary, including an overview, key points, tasks, decisions, challenges, timeline, references, and next steps.
-186. **summarize_micro**: Summarizes content into a 20-word sentence, 3 main points, and 3 takeaways, formatted in clear, concise Markdown.
-187. **summarize_newsletter**: Extracts the most meaningful, interesting, and useful content from a newsletter, summarizing key sections such as content, opinions, tools, companies, and follow-up items in clear, structured Markdown.
-188. **summarize_paper**: Summarizes an academic paper by detailing its title, authors, technical approach, distinctive features, experimental setup, results, advantages, limitations, and conclusion in a clear, structured format using human-readable Markdown.
-189. **summarize_prompt**: Summarizes AI chat prompts by describing the primary function, unique approach, and expected output in a concise paragraph. The summary is focused on the prompt's purpose without unnecessary details or formatting.
-190. **summarize_pull-requests**: Summarizes pull requests for a coding project by providing a summary and listing the top PRs with human-readable descriptions.
-191. **summarize_rpg_session**: Summarizes a role-playing game session by extracting key events, combat stats, character changes, quotes, and more.
-192. **t_analyze_challenge_handling**: Provides 8-16 word bullet points evaluating how well challenges are being addressed, calling out any lack of effort.
-193. **t_check_metrics**: Analyzes deep context from the TELOS file and input instruction, then provides a wisdom-based output while considering metrics and KPIs to assess recent improvements.
-194. **t_create_h3_career**: Summarizes context and produces wisdom-based output by deeply analyzing both the TELOS File and the input instruction, considering the relationship between the two.
-195. **t_create_opening_sentences**: Describes from TELOS file the person's identity, goals, and actions in 4 concise, 32-word bullet points, humbly.
-196. **t_describe_life_outlook**: Describes from TELOS file a person's life outlook in 5 concise, 16-word bullet points.
-197. **t_extract_intro_sentences**: Summarizes from TELOS file a person's identity, work, and current projects in 5 concise and grounded bullet points.
-198. **t_extract_panel_topics**: Creates 5 panel ideas with titles and descriptions based on deep context from a TELOS file and input.
-199. **t_find_blindspots**: Identify potential blindspots in thinking, frames, or models that may expose the individual to error or risk.
-200. **t_find_negative_thinking**: Analyze a TELOS file and input to identify negative thinking in documents or journals, followed by tough love encouragement.
-201. **t_find_neglected_goals**: Analyze a TELOS file and input instructions to identify goals or projects that have not been worked on recently.
-202. **t_give_encouragement**: Analyze a TELOS file and input instructions to evaluate progress, provide encouragement, and offer recommendations for continued effort.
-203. **t_red_team_thinking**: Analyze a TELOS file and input instructions to red-team thinking, models, and frames, then provide recommendations for improvement.
-204. **t_threat_model_plans**: Analyze a TELOS file and input instructions to create threat models for a life plan and recommend improvements.
-205. **t_visualize_mission_goals_projects**: Analyze a TELOS file and input instructions to create an ASCII art diagram illustrating the relationship of missions, goals, and projects.
-206. **t_year_in_review**: Analyze a TELOS file to create insights about a person or entity, then summarize accomplishments and visualizations in bullet points.
-207. **to_flashcards**: Create Anki flashcards from a given text, focusing on concise, optimized questions and answers without external context.
-208. **transcribe_minutes**: Extracts (from meeting transcription) meeting minutes, identifying actionables, insightful ideas, decisions, challenges, and next steps in a structured format.
-209. **translate**: Translates sentences or documentation into the specified language code while maintaining the original formatting and tone.
-210. **tweet**: Provides a step-by-step guide on crafting engaging tweets with emojis, covering Twitter basics, account creation, features, and audience targeting.
-211. **write_essay**: Writes essays in the style of a specified author, embodying their unique voice, vocabulary, and approach. Uses `author_name` variable.
-212. **write_essay_pg**: Writes concise, clear essays in the style of Paul Graham, focusing on simplicity, clarity, and illumination of the provided topic.
-213. **write_hackerone_report**: Generates concise, clear, and reproducible bug bounty reports, detailing vulnerability impact, steps to reproduce, and exploit details for triagers.
-214. **write_latex**: Generates syntactically correct LaTeX code for a new.tex document, ensuring proper formatting and compatibility with pdflatex.
-215. **write_micro_essay**: Writes concise, clear, and illuminating essays on the given topic in the style of Paul Graham.
-216. **write_nuclei_template_rule**: Generates Nuclei YAML templates for detecting vulnerabilities using HTTP requests, matchers, extractors, and dynamic data extraction.
-217. **write_pull-request**: Drafts detailed pull request descriptions, explaining changes, providing reasoning, and identifying potential bugs from the git diff command output.
-218. **write_semgrep_rule**: Creates accurate and working Semgrep rules based on input, following syntax guidelines and specific language considerations.
-219. **youtube_summary**: Create concise, timestamped Youtube video summaries that highlight key points.
+87. **create_story_about_person**: Creates compelling, realistic short stories based on psychological profiles, showing how characters navigate everyday problems using strategies consistent with their personality traits.
+88. **create_story_explanation**: Summarizes complex content in a clear, approachable story format that makes the concepts easy to understand.
+89. **create_stride_threat_model**: Create a STRIDE-based threat model for a system design, identifying assets, trust boundaries, data flows, and prioritizing threats with mitigations.
+90. **create_summary**: Summarizes content into a 20-word sentence, 10 main points (16 words max), and 5 key takeaways in Markdown format.
+91. **create_tags**: Identifies at least 5 tags from text content for mind mapping tools, including authors and existing tags if present.
+92. **create_threat_scenarios**: Identifies likely attack methods for any system by providing a narrative-based threat model, balancing risk and opportunity.
+93. **create_ttrc_graph**: Creates a CSV file showing the progress of Time to Remediate Critical Vulnerabilities over time using given data.
+94. **create_ttrc_narrative**: Creates a persuasive narrative highlighting progress in reducing the Time to Remediate Critical Vulnerabilities metric over time.
+95. **create_upgrade_pack**: Extracts world model and task algorithm updates from content, providing beliefs about how the world works and task performance.
+96. **create_user_story**: Writes concise and clear technical user stories for new features in complex software programs, formatted for all stakeholders.
+97. **create_video_chapters**: Extracts interesting topics and timestamps from a transcript, providing concise summaries of key moments.
+98. **create_visualization**: Transforms complex ideas into visualizations using intricate ASCII art, simplifying concepts where necessary.
+99. **dialog_with_socrates**: Engages in deep, meaningful dialogues to explore and challenge beliefs using the Socratic method.
+100. **enrich_blog_post**: Enhances Markdown blog files by applying instructions to improve structure, visuals, and readability for HTML rendering.
+101. **explain_code**: Explains code, security tool output, configuration text, and answers questions based on the provided input.
+102. **explain_docs**: Improves and restructures tool documentation into clear, concise instructions, including overviews, usage, use cases, and key features.
+103. **explain_math**: Helps you understand mathematical concepts in a clear and engaging way.
+104. **explain_project**: Summarizes project documentation into clear, concise sections covering the project, problem, solution, installation, usage, and examples.
+105. **explain_terms**: Produces a glossary of advanced terms from content, providing a definition, analogy, and explanation of why each term matters.
+106. **export_data_as_csv**: Extracts and outputs all data structures from the input in properly formatted CSV data.
+107. **extract_algorithm_update_recommendations**: Extracts concise, practical algorithm update recommendations from the input and outputs them in a bulleted list.
+108. **extract_article_wisdom**: Extracts surprising, insightful, and interesting information from content, categorizing it into sections like summary, ideas, quotes, facts, references, and recommendations.
+109. **extract_book_ideas**: Extracts and outputs 50 to 100 of the most surprising, insightful, and interesting ideas from a book's content.
+110. **extract_book_recommendations**: Extracts and outputs 50 to 100 practical, actionable recommendations from a book's content.
+111. **extract_business_ideas**: Extracts top business ideas from content and elaborates on the best 10 with unique differentiators.
+112. **extract_controversial_ideas**: Extracts and outputs controversial statements and supporting quotes from the input in a structured Markdown list.
+113. **extract_core_message**: Extracts and outputs a clear, concise sentence that articulates the core message of a given text or body of work.
+114. **extract_ctf_writeup**: Extracts a short writeup from a warstory-like text about a cyber security engagement.
+115. **extract_domains**: Extracts domains and URLs from content to identify sources used for articles, newsletters, and other publications.
+116. **extract_extraordinary_claims**: Extracts and outputs a list of extraordinary claims from conversations, focusing on scientifically disputed or false statements.
+117. **extract_ideas**: Extracts and outputs all the key ideas from input, presented as 15-word bullet points in Markdown.
+118. **extract_insights**: Extracts and outputs the most powerful and insightful ideas from text, formatted as 16-word bullet points in the INSIGHTS section, also IDEAS section.
+119. **extract_insights_dm**: Extracts and outputs all valuable insights and a concise summary of the content, including key points and topics discussed.
+120. **extract_instructions**: Extracts clear, actionable step-by-step instructions and main objectives from instructional video transcripts, organizing them into a concise list.
+121. **extract_jokes**: Extracts jokes from text content, presenting each joke with its punchline in separate bullet points.
+122. **extract_latest_video**: Extracts the latest video URL from a YouTube RSS feed and outputs the URL only.
+123. **extract_main_activities**: Extracts key events and activities from transcripts or logs, providing a summary of what happened.
+124. **extract_main_idea**: Extracts the main idea and key recommendation from the input, summarizing them in 15-word sentences.
+125. **extract_most_redeeming_thing**: Extracts the most redeeming aspect from an input, summarizing it in a single 15-word sentence.
+126. **extract_patterns**: Extracts and analyzes recurring, surprising, and insightful patterns from input, providing detailed analysis and advice for builders.
+127. **extract_poc**: Extracts proof of concept URLs and validation methods from security reports, providing the URL and command to run.
+128. **extract_predictions**: Extracts predictions from input, including specific details such as date, confidence level, and verification method.
+129. **extract_primary_problem**: Extracts the primary problem with the world as presented in a given text or body of work.
+130. **extract_primary_solution**: Extracts the primary solution for the world as presented in a given text or body of work.
+131. **extract_product_features**: Extracts and outputs a list of product features from the provided input in a bulleted format.
+132. **extract_questions**: Extracts and outputs all questions asked by the interviewer in a conversation or interview.
+133. **extract_recipe**: Extracts and outputs a recipe with a short meal description, ingredients with measurements, and preparation steps.
+134. **extract_recommendations**: Extracts and outputs concise, practical recommendations from a given piece of content in a bulleted list.
+135. **extract_references**: Extracts and outputs a bulleted list of references to art, stories, books, literature, and other sources from content.
+136. **extract_skills**: Extracts and classifies skills from a job description into a table, separating each skill and classifying it as either hard or soft.
+137. **extract_song_meaning**: Analyzes a song to provide a summary of its meaning, supported by detailed evidence from lyrics, artist commentary, and fan analysis.
+138. **extract_sponsors**: Extracts and lists official sponsors and potential sponsors from a provided transcript.
+139. **extract_videoid**: Extracts and outputs the video ID from any given URL.
+140. **extract_wisdom**: Extracts surprising, insightful, and interesting information from text on topics like human flourishing, AI, learning, and more.
+141. **extract_wisdom_agents**: Extracts valuable insights, ideas, quotes, and references from content, emphasizing topics like human flourishing, AI, learning, and technology.
+142. **extract_wisdom_dm**: Extracts all valuable, insightful, and thought-provoking information from content, focusing on topics like human flourishing, AI, learning, and technology.
+143. **extract_wisdom_nometa**: Extracts insights, ideas, quotes, habits, facts, references, and recommendations from content, focusing on human flourishing, AI, technology, and related topics.
+144. **find_female_life_partner**: Analyzes criteria for finding a female life partner and provides clear, direct, and poetic descriptions.
+145. **find_hidden_message**: Extracts overt and hidden political messages, justifications, audience actions, and a cynical analysis from content.
+146. **find_logical_fallacies**: Identifies and analyzes fallacies in arguments, classifying them as formal or informal with detailed reasoning.
+147. **get_wow_per_minute**: Determines the wow-factor of content per minute based on surprise, novelty, insight, value, and wisdom, measuring how rewarding the content is for the viewer.
+148. **get_youtube_rss**: Returns the RSS URL for a given YouTube channel based on the channel ID or URL.
+149. **heal_person**: Develops a comprehensive plan for spiritual and mental healing based on psychological profiles, providing personalized recommendations for mental health improvement and overall life enhancement.
+150. **humanize**: Rewrites AI-generated text to sound natural, conversational, and easy to understand, maintaining clarity and simplicity.
+151. **identify_dsrp_distinctions**: Encourages creative, systems-based thinking by exploring distinctions, boundaries, and their implications, drawing on insights from prominent systems thinkers.
+152. **identify_dsrp_perspectives**: Explores the concept of distinctions in systems thinking, focusing on how boundaries define ideas, influence understanding, and reveal or obscure insights.
+153. **identify_dsrp_relationships**: Encourages exploration of connections, distinctions, and boundaries between ideas, inspired by systems thinkers to reveal new insights and patterns in complex systems.
+154. **identify_dsrp_systems**: Encourages organizing ideas into systems of parts and wholes, inspired by systems thinkers to explore relationships and how changes in organization impact meaning and understanding.
+155. **identify_job_stories**: Identifies key job stories or requirements for roles.
+156. **improve_academic_writing**: Refines text into clear, concise academic language while improving grammar, coherence, and clarity, with a list of changes.
+157. **improve_prompt**: Improves an LLM/AI prompt by applying expert prompt writing strategies for better results and clarity.
+158. **improve_report_finding**: Improves a penetration test security finding by providing detailed descriptions, risks, recommendations, references, quotes, and a concise summary in markdown format.
+159. **improve_writing**: Refines text by correcting grammar, enhancing style, improving clarity, and maintaining the original meaning. skills.
+160. **judge_output**: Evaluates Honeycomb queries by judging their effectiveness, providing critiques and outcomes based on language nuances and analytics relevance.
+161. **label_and_rate**: Labels content with up to 20 single-word tags and rates it based on idea count and relevance to human meaning, AI, and other related themes, assigning a tier (S, A, B, C, D) and a quality score.
+162. **md_callout**: Classifies content and generates a markdown callout based on the provided text, selecting the most appropriate type.
+163. **official_pattern_template**: Template to use if you want to create new fabric patterns.
+164. **prepare_7s_strategy**: Prepares a comprehensive briefing document from 7S's strategy capturing organizational profile, strategic elements, and market dynamics with clear, concise, and organized content.
+165. **provide_guidance**: Provides psychological and life coaching advice, including analysis, recommendations, and potential diagnoses, with a compassionate and honest tone.
+166. **rate_ai_response**: Rates the quality of AI responses by comparing them to top human expert performance, assigning a letter grade, reasoning, and providing a 1-100 score based on the evaluation.
+167. **rate_ai_result**: Assesses the quality of AI/ML/LLM work by deeply analyzing content, instructions, and output, then rates performance based on multiple dimensions, including coverage, creativity, and interdisciplinary thinking.
+168. **rate_content**: Labels content with up to 20 single-word tags and rates it based on idea count and relevance to human meaning, AI, and other related themes, assigning a tier (S, A, B, C, D) and a quality score.
+169. **rate_value**: Produces the best possible output by deeply analyzing and understanding the input and its intended purpose.
+170. **raw_query**: Fully digests and contemplates the input to produce the best possible result based on understanding the sender's intent.
+171. **recommend_artists**: Recommends a personalized festival schedule with artists aligned to your favorite styles and interests, including rationale.
+172. **recommend_pipeline_upgrades**: Optimizes vulnerability-checking pipelines by incorporating new information and improving their efficiency, with detailed explanations of changes.
+173. **recommend_talkpanel_topics**: Produces a clean set of proposed talks or panel talking points for a person based on their interests and goals, formatted for submission to a conference organizer.
+174. **refine_design_document**: Refines a design document based on a design review by analyzing, mapping concepts, and implementing changes using valid Markdown.
+175. **review_design**: Reviews and analyzes architecture design, focusing on clarity, component design, system integrations, security, performance, scalability, and data management.
+176. **sanitize_broken_html_to_markdown**: Converts messy HTML into clean, properly formatted Markdown, applying custom styling and ensuring compatibility with Vite.
+177. **solve_with_cot**: Provides detailed, step-by-step responses with chain of thought reasoning, using structured thinking, reflection, and output sections.
+178. **suggest_pattern**: Suggests appropriate fabric patterns or commands based on user input, providing clear explanations and options for users.
+179. **summarize**: Summarizes content into a 20-word sentence, main points, and takeaways, formatted with numbered lists in Markdown.
+180. **summarize_board_meeting**: Creates formal meeting notes from board meeting transcripts for corporate governance documentation.
+181. **summarize_debate**: Summarizes debates, identifies primary disagreement, extracts arguments, and provides analysis of evidence and argument strength to predict outcomes.
+182. **summarize_git_changes**: Summarizes recent project updates from the last 7 days, focusing on key changes with enthusiasm.
+183. **summarize_git_diff**: Summarizes and organizes Git diff changes with clear, succinct commit messages and bullet points.
+184. **summarize_lecture**: Extracts relevant topics, definitions, and tools from lecture transcripts, providing structured summaries with timestamps and key takeaways.
+185. **summarize_legislation**: Summarizes complex political proposals and legislation by analyzing key points, proposed changes, and providing balanced, positive, and cynical characterizations.
+186. **summarize_meeting**: Analyzes meeting transcripts to extract a structured summary, including an overview, key points, tasks, decisions, challenges, timeline, references, and next steps.
+187. **summarize_micro**: Summarizes content into a 20-word sentence, 3 main points, and 3 takeaways, formatted in clear, concise Markdown.
+188. **summarize_newsletter**: Extracts the most meaningful, interesting, and useful content from a newsletter, summarizing key sections such as content, opinions, tools, companies, and follow-up items in clear, structured Markdown.
+189. **summarize_paper**: Summarizes an academic paper by detailing its title, authors, technical approach, distinctive features, experimental setup, results, advantages, limitations, and conclusion in a clear, structured format using human-readable Markdown.
+190. **summarize_prompt**: Summarizes AI chat prompts by describing the primary function, unique approach, and expected output in a concise paragraph. The summary is focused on the prompt's purpose without unnecessary details or formatting.
+191. **summarize_pull-requests**: Summarizes pull requests for a coding project by providing a summary and listing the top PRs with human-readable descriptions.
+192. **summarize_rpg_session**: Summarizes a role-playing game session by extracting key events, combat stats, character changes, quotes, and more.
+193. **t_analyze_challenge_handling**: Provides 8-16 word bullet points evaluating how well challenges are being addressed, calling out any lack of effort.
+194. **t_check_metrics**: Analyzes deep context from the TELOS file and input instruction, then provides a wisdom-based output while considering metrics and KPIs to assess recent improvements.
+195. **t_create_h3_career**: Summarizes context and produces wisdom-based output by deeply analyzing both the TELOS File and the input instruction, considering the relationship between the two.
+196. **t_create_opening_sentences**: Describes from TELOS file the person's identity, goals, and actions in 4 concise, 32-word bullet points, humbly.
+197. **t_describe_life_outlook**: Describes from TELOS file a person's life outlook in 5 concise, 16-word bullet points.
+198. **t_extract_intro_sentences**: Summarizes from TELOS file a person's identity, work, and current projects in 5 concise and grounded bullet points.
+199. **t_extract_panel_topics**: Creates 5 panel ideas with titles and descriptions based on deep context from a TELOS file and input.
+200. **t_find_blindspots**: Identify potential blindspots in thinking, frames, or models that may expose the individual to error or risk.
+201. **t_find_negative_thinking**: Analyze a TELOS file and input to identify negative thinking in documents or journals, followed by tough love encouragement.
+202. **t_find_neglected_goals**: Analyze a TELOS file and input instructions to identify goals or projects that have not been worked on recently.
+203. **t_give_encouragement**: Analyze a TELOS file and input instructions to evaluate progress, provide encouragement, and offer recommendations for continued effort.
+204. **t_red_team_thinking**: Analyze a TELOS file and input instructions to red-team thinking, models, and frames, then provide recommendations for improvement.
+205. **t_threat_model_plans**: Analyze a TELOS file and input instructions to create threat models for a life plan and recommend improvements.
+206. **t_visualize_mission_goals_projects**: Analyze a TELOS file and input instructions to create an ASCII art diagram illustrating the relationship of missions, goals, and projects.
+207. **t_year_in_review**: Analyze a TELOS file to create insights about a person or entity, then summarize accomplishments and visualizations in bullet points.
+208. **to_flashcards**: Create Anki flashcards from a given text, focusing on concise, optimized questions and answers without external context.
+209. **transcribe_minutes**: Extracts (from meeting transcription) meeting minutes, identifying actionables, insightful ideas, decisions, challenges, and next steps in a structured format.
+210. **translate**: Translates sentences or documentation into the specified language code while maintaining the original formatting and tone.
+211. **tweet**: Provides a step-by-step guide on crafting engaging tweets with emojis, covering Twitter basics, account creation, features, and audience targeting.
+212. **write_essay**: Writes essays in the style of a specified author, embodying their unique voice, vocabulary, and approach. Uses `author_name` variable.
+213. **write_essay_pg**: Writes concise, clear essays in the style of Paul Graham, focusing on simplicity, clarity, and illumination of the provided topic.
+214. **write_hackerone_report**: Generates concise, clear, and reproducible bug bounty reports, detailing vulnerability impact, steps to reproduce, and exploit details for triagers.
+215. **write_latex**: Generates syntactically correct LaTeX code for a new.tex document, ensuring proper formatting and compatibility with pdflatex.
+216. **write_micro_essay**: Writes concise, clear, and illuminating essays on the given topic in the style of Paul Graham.
+217. **write_nuclei_template_rule**: Generates Nuclei YAML templates for detecting vulnerabilities using HTTP requests, matchers, extractors, and dynamic data extraction.
+218. **write_pull-request**: Drafts detailed pull request descriptions, explaining changes, providing reasoning, and identifying potential bugs from the git diff command output.
+219. **write_semgrep_rule**: Creates accurate and working Semgrep rules based on input, following syntax guidelines and specific language considerations.
+220. **youtube_summary**: Create concise, timestamped Youtube video summaries that highlight key points.

data/patterns/show_fabric_options_markmap/system.md

@@ -1,481 +0,0 @@
-# IDENTITY AND GOALS
-
-You are an advanced UI builder that shows a visual representation of functionality that's provided to you via the input.
-
-# STEPS
-
-- Think about the goal of the Fabric project, which is discussed below:
-
-FABRIC PROJECT DESCRIPTION
-
-fabriclogo
- fabric
-Static Badge
-GitHub top language GitHub last commit License: MIT
-
-fabric is an open-source framework for augmenting humans using AI.
-
-Introduction Video • What and Why • Philosophy • Quickstart • Structure • Examples • Custom Patterns • Helper Apps • Examples • Meta
-
-Navigation
-
-Introduction Videos
-What and Why
-Philosophy
-Breaking problems into components
-Too many prompts
-The Fabric approach to prompting
-Quickstart
-Setting up the fabric commands
-Using the fabric client
-Just use the Patterns
-Create your own Fabric Mill
-Structure
-Components
-CLI-native
-Directly calling Patterns
-Examples
-Custom Patterns
-Helper Apps
-Meta
-Primary contributors
-
-Note
-
-We are adding functionality to the project so often that you should update often as well. That means: git pull; pipx install . --force; fabric --update; source ~/.zshrc (or ~/.bashrc) in the main directory!
-March 13, 2024 — We just added pipx install support, which makes it way easier to install Fabric, support for Claude, local models via Ollama, and a number of new Patterns. Be sure to update and check fabric -h for the latest!
-
-Introduction videos
-
-Note
-
-These videos use the ./setup.sh install method, which is now replaced with the easier pipx install . method. Other than that everything else is still the same.
- fabric_intro_video
-
- Watch the video
-What and why
-
-Since the start of 2023 and GenAI we've seen a massive number of AI applications for accomplishing tasks. It's powerful, but it's not easy to integrate this functionality into our lives.
-
-In other words, AI doesn't have a capabilities problem—it has an integration problem.
-
-Fabric was created to address this by enabling everyone to granularly apply AI to everyday challenges.
-
-Philosophy
-
-AI isn't a thing; it's a magnifier of a thing. And that thing is human creativity.
-We believe the purpose of technology is to help humans flourish, so when we talk about AI we start with the human problems we want to solve.
-
-Breaking problems into components
-
-Our approach is to break problems into individual pieces (see below) and then apply AI to them one at a time. See below for some examples.
-
-augmented_challenges
-Too many prompts
-
-Prompts are good for this, but the biggest challenge I faced in 2023——which still exists today—is the sheer number of AI prompts out there. We all have prompts that are useful, but it's hard to discover new ones, know if they are good or not, and manage different versions of the ones we like.
-
-One of fabric's primary features is helping people collect and integrate prompts, which we call Patterns, into various parts of their lives.
-
-Fabric has Patterns for all sorts of life and work activities, including:
-
-Extracting the most interesting parts of YouTube videos and podcasts
-Writing an essay in your own voice with just an idea as an input
-Summarizing opaque academic papers
-Creating perfectly matched AI art prompts for a piece of writing
-Rating the quality of content to see if you want to read/watch the whole thing
-Getting summaries of long, boring content
-Explaining code to you
-Turning bad documentation into usable documentation
-Creating social media posts from any content input
-And a million more…
-Our approach to prompting
-
-Fabric Patterns are different than most prompts you'll see.
-
-First, we use Markdown to help ensure maximum readability and editability. This not only helps the creator make a good one, but also anyone who wants to deeply understand what it does. Importantly, this also includes the AI you're sending it to!
-Here's an example of a Fabric Pattern.
-
-https://github.com/danielmiessler/fabric/blob/main/patterns/extract_wisdom/system.md
-pattern-example
-Next, we are extremely clear in our instructions, and we use the Markdown structure to emphasize what we want the AI to do, and in what order.
-
-And finally, we tend to use the System section of the prompt almost exclusively. In over a year of being heads-down with this stuff, we've just seen more efficacy from doing that. If that changes, or we're shown data that says otherwise, we will adjust.
-
-Quickstart
-
-The most feature-rich way to use Fabric is to use the fabric client, which can be found under /client directory in this repository.
-
-Setting up the fabric commands
-
-Follow these steps to get all fabric related apps installed and configured.
-
-Navigate to where you want the Fabric project to live on your system in a semi-permanent place on your computer.
-# Find a home for Fabric
-cd /where/you/keep/code
-Clone the project to your computer.
-# Clone Fabric to your computer
-git clone https://github.com/danielmiessler/fabric.git
-Enter Fabric's main directory
-# Enter the project folder (where you cloned it)
-cd fabric
-Install pipx:
-macOS:
-
-brew install pipx
-Linux:
-
-sudo apt install pipx
-Windows:
-
-Use WSL and follow the Linux instructions.
-
-Install fabric
-pipx install .
-Run setup:
-fabric --setup
-Restart your shell to reload everything.
-
-Now you are up and running! You can test by running the help.
-
-# Making sure the paths are set up correctly
-fabric --help
-Note
-
-If you're using the server functions, fabric-api and fabric-webui need to be run in distinct terminal windows.
-Using the fabric client
-
-Once you have it all set up, here's how to use it.
-
-Check out the options fabric -h
-us the results in
-                        realtime. NOTE: You will not be able to pipe the
-                        output into another command.
-  --list, -l            List available patterns
-  --clear               Clears your persistent model choice so that you can
-                        once again use the --model flag
-  --update, -u          Update patterns. NOTE: This will revert the default
-                        model to gpt4-turbo. please run --changeDefaultModel
-                        to once again set default model
-  --pattern PATTERN, -p PATTERN
-                        The pattern (prompt) to use
-  --setup               Set up your fabric instance
-  --changeDefaultModel CHANGEDEFAULTMODEL
-                        Change the default model. For a list of available
-                        models, use the --listmodels flag.
-  --model MODEL, -m MODEL
-                        Select the model to use. NOTE: Will not work if you
-                        have set a default model. please use --clear to clear
-                        persistence before using this flag
-  --vendor VENDOR, -V VENDOR
-                        Specify vendor for the selected model (e.g., -V "LM Studio" -m openai/gpt-oss-20b)
-  --listmodels          List all available models
-  --remoteOllamaServer REMOTEOLLAMASERVER
-                        The URL of the remote ollamaserver to use. ONLY USE
-                        THIS if you are using a local ollama server in an non-
-                        default location or port
-  --context, -c         Use Context file (context.md) to add context to your
-                        pattern
-age: fabric [-h] [--text TEXT] [--copy] [--agents {trip_planner,ApiKeys}]
-              [--output [OUTPUT]] [--stream] [--list] [--clear] [--update]
-              [--pattern PATTERN] [--setup]
-              [--changeDefaultModel CHANGEDEFAULTMODEL] [--model MODEL]
-              [--listmodels] [--remoteOllamaServer REMOTEOLLAMASERVER]
-              [--context]
-
-An open source framework for augmenting humans using AI.
-
-options:
-  -h, --help            show this help message and exit
-  --text TEXT, -t TEXT  Text to extract summary from
-  --copy, -C            Copy the response to the clipboard
-  --agents {trip_planner,ApiKeys}, -a {trip_planner,ApiKeys}
-                        Use an AI agent to help you with a task. Acceptable
-                        values are 'trip_planner' or 'ApiKeys'. This option
-                        cannot be used with any other flag.
-  --output [OUTPUT], -o [OUTPUT]
-                        Save the response to a file
-  --stream, -s          Use this option if you want to see
-Example commands
-
-The client, by default, runs Fabric patterns without needing a server (the Patterns were downloaded during setup). This means the client connects directly to OpenAI using the input given and the Fabric pattern used.
-
-Run the summarize Pattern based on input from stdin. In this case, the body of an article.
-pbpaste | fabric --pattern summarize
-Run the analyze_claims Pattern with the --stream option to get immediate and streaming results.
-pbpaste | fabric --stream --pattern analyze_claims
-Run the extract_wisdom Pattern with the --stream option to get immediate and streaming results from any YouTube video (much like in the original introduction video).
-yt --transcript https://youtube.com/watch?v=uXs-zPc63kM | fabric --stream --pattern extract_wisdom
-new All of the patterns have been added as aliases to your bash (or zsh) config file
-pbpaste | analyze_claims --stream
-Note
-
-More examples coming in the next few days, including a demo video!
-Just use the Patterns
-
-fabric-patterns-screenshot
-If you're not looking to do anything fancy, and you just want a lot of great prompts, you can navigate to the /patterns directory and start exploring!
-
-We hope that if you used nothing else from Fabric, the Patterns by themselves will make the project useful.
-
-You can use any of the Patterns you see there in any AI application that you have, whether that's ChatGPT or some other app or website. Our plan and prediction is that people will soon be sharing many more than those we've published, and they will be way better than ours.
-
-The wisdom of crowds for the win.
-
-Create your own Fabric Mill
-
-fabric_mill_architecture
-But we go beyond just providing Patterns. We provide code for you to build your very own Fabric server and personal AI infrastructure!
-
-Structure
-
-Fabric is themed off of, well… fabric—as in…woven materials. So, think blankets, quilts, patterns, etc. Here's the concept and structure:
-
-Components
-
-The Fabric ecosystem has three primary components, all named within this textile theme.
-
-The Mill is the (optional) server that makes Patterns available.
-Patterns are the actual granular AI use cases (prompts).
-Stitches are chained together Patterns that create advanced functionality (see below).
-Looms are the client-side apps that call a specific Pattern hosted by a Mill.
-CLI-native
-
-One of the coolest parts of the project is that it's command-line native!
-
-Each Pattern you see in the /patterns directory can be used in any AI application you use, but you can also set up your own server using the /server code and then call APIs directly!
-
-Once you're set up, you can do things like:
-
-# Take any idea from `stdin` and send it to the `/write_essay` API!
-echo "An idea that coding is like speaking with rules." | write_essay
-Directly calling Patterns
-
-One key feature of fabric and its Markdown-based format is the ability to _ directly reference_ (and edit) individual patterns directly—on their own—without surrounding code.
-
-As an example, here's how to call the direct location of the extract_wisdom pattern.
-
-https://github.com/danielmiessler/fabric/blob/main/patterns/extract_wisdom/system.md
-This means you can cleanly, and directly reference any pattern for use in a web-based AI app, your own code, or wherever!
-
-Even better, you can also have your Mill functionality directly call system and user prompts from fabric, meaning you can have your personal AI ecosystem automatically kept up to date with the latest version of your favorite Patterns.
-
-Here's what that looks like in code:
-
-https://github.com/danielmiessler/fabric/blob/main/server/fabric_api_server.py
-# /extwis
-@app.route("/extwis", methods=["POST"])
-@auth_required  # Require authentication
-def extwis():
-    data = request.get_json()
-
-    # Warn if there's no input
-    if "input" not in data:
-        return jsonify({"error": "Missing input parameter"}), 400
-
-    # Get data from client
-    input_data = data["input"]
-
-    # Set the system and user URLs
-    system_url = "https://raw.githubusercontent.com/danielmiessler/fabric/main/patterns/extract_wisdom/system.md"
-    user_url = "https://raw.githubusercontent.com/danielmiessler/fabric/main/patterns/extract_wisdom/user.md"
-
-    # Fetch the prompt content
-    system_content = fetch_content_from_url(system_url)
-    user_file_content = fetch_content_from_url(user_url)
-
-    # Build the API call
-    system_message = {"role": "system", "content": system_content}
-    user_message = {"role": "user", "content": user_file_content + "\n" + input_data}
-    messages = [system_message, user_message]
-    try:
-        response = openai.chat.completions.create(
-            model="gpt-4-1106-preview",
-            messages=messages,
-            temperature=0.0,
-            top_p=1,
-            frequency_penalty=0.1,
-            presence_penalty=0.1,
-        )
-        assistant_message = response.choices[0].message.content
-        return jsonify({"response": assistant_message})
-    except Exception as e:
-        return jsonify({"error": str(e)}), 500
-Examples
-
-Here's an abridged output example from the extract_wisdom pattern (limited to only 10 items per section).
-
-# Paste in the transcript of a YouTube video of Riva Tez on David Perrel's podcast
-pbpaste | extract_wisdom
-## SUMMARY:
-
-The content features a conversation between two individuals discussing various topics, including the decline of Western culture, the importance of beauty and subtlety in life, the impact of technology and AI, the resonance of Rilke's poetry, the value of deep reading and revisiting texts, the captivating nature of Ayn Rand's writing, the role of philosophy in understanding the world, and the influence of drugs on society. They also touch upon creativity, attention spans, and the importance of introspection.
-
-## IDEAS:
-
-1. Western culture is perceived to be declining due to a loss of values and an embrace of mediocrity.
-2. Mass media and technology have contributed to shorter attention spans and a need for constant stimulation.
-3. Rilke's poetry resonates due to its focus on beauty and ecstasy in everyday objects.
-4. Subtlety is often overlooked in modern society due to sensory overload.
-5. The role of technology in shaping music and performance art is significant.
-6. Reading habits have shifted from deep, repetitive reading to consuming large quantities of new material.
-7. Revisiting influential books as one ages can lead to new insights based on accumulated wisdom and experiences.
-8. Fiction can vividly illustrate philosophical concepts through characters and narratives.
-9. Many influential thinkers have backgrounds in philosophy, highlighting its importance in shaping reasoning skills.
-10. Philosophy is seen as a bridge between theology and science, asking questions that both fields seek to answer.
-
-## QUOTES:
-
-1. "You can't necessarily think yourself into the answers. You have to create space for the answers to come to you."
-2. "The West is dying and we are killing her."
-3. "The American Dream has been replaced by mass packaged mediocrity porn, encouraging us to revel like happy pigs in our own meekness."
-4. "There's just not that many people who have the courage to reach beyond consensus and go explore new ideas."
-5. "I'll start watching Netflix when I've read the whole of human history."
-6. "Rilke saw beauty in everything... He sees it's in one little thing, a representation of all things that are beautiful."
-7. "Vanilla is a very subtle flavor... it speaks to sort of the sensory overload of the modern age."
-8. "When you memorize chapters [of the Bible], it takes a few months, but you really understand how things are structured."
-9. "As you get older, if there's books that moved you when you were younger, it's worth going back and rereading them."
-10. "She [Ayn Rand] took complicated philosophy and embodied it in a way that anybody could resonate with."
-
-## HABITS:
-
-1. Avoiding mainstream media consumption for deeper engagement with historical texts and personal research.
-2. Regularly revisiting influential books from youth to gain new insights with age.
-3. Engaging in deep reading practices rather than skimming or speed-reading material.
-4. Memorizing entire chapters or passages from significant texts for better understanding.
-5. Disengaging from social media and fast-paced news cycles for more focused thought processes.
-6. Walking long distances as a form of meditation and reflection.
-7. Creating space for thoughts to solidify through introspection and stillness.
-8. Embracing emotions such as grief or anger fully rather than suppressing them.
-9. Seeking out varied experiences across different careers and lifestyles.
-10. Prioritizing curiosity-driven research without specific goals or constraints.
-
-## FACTS:
-
-1. The West is perceived as declining due to cultural shifts away from traditional values.
-2. Attention spans have shortened due to technological advancements and media consumption habits.
-3. Rilke's poetry emphasizes finding beauty in everyday objects through detailed observation.
-4. Modern society often overlooks subtlety due to sensory overload from various stimuli.
-5. Reading habits have evolved from deep engagement with texts to consuming large quantities quickly.
-6. Revisiting influential books can lead to new insights based on accumulated life experiences.
-7. Fiction can effectively illustrate philosophical concepts through character development and narrative arcs.
-8. Philosophy plays a significant role in shaping reasoning skills and understanding complex ideas.
-9. Creativity may be stifled by cultural nihilism and protectionist attitudes within society.
-10. Short-term thinking undermines efforts to create lasting works of beauty or significance.
-
-## REFERENCES:
-
-1. Rainer Maria Rilke's poetry
-2. Netflix
-3. Underworld concert
-4. Katy Perry's theatrical performances
-5. Taylor Swift's performances
-6. Bible study
-7. Atlas Shrugged by Ayn Rand
-8. Robert Pirsig's writings
-9. Bertrand Russell's definition of philosophy
-10. Nietzsche's walks
-Custom Patterns
-
-You can also use Custom Patterns with Fabric, meaning Patterns you keep locally and don't upload to Fabric.
-
-One possible place to store them is ~/.config/custom-fabric-patterns.
-
-Then when you want to use them, simply copy them into ~/.config/fabric/patterns.
-
-cp -a ~/.config/custom-fabric-patterns/* ~/.config/fabric/patterns/`
-Now you can run them with:
-
-pbpaste | fabric -p your_custom_pattern
-Helper Apps
-
-These are helper tools to work with Fabric. Examples include things like getting transcripts from media files, getting metadata about media, etc.
-
-yt (YouTube)
-
-yt is a command that uses the YouTube API to pull transcripts, pull user comments, get video duration, and other functions. It's primary function is to get a transcript from a video that can then be stitched (piped) into other Fabric Patterns.
-
-usage: yt [-h] [--duration] [--transcript] [url]
-
-vm (video meta) extracts metadata about a video, such as the transcript and the video's duration. By Daniel Miessler.
-
-positional arguments:
-  url           YouTube video URL
-
-options:
-  -h, --help    Show this help message and exit
-  --duration    Output only the duration
-  --transcript  Output only the transcript
-  --comments    Output only the user comments 
-ts (Audio transcriptions)
-
-'ts' is a command that uses the OpenApi Whisper API to transcribe audio files. Due to the context window, this tool uses pydub to split the files into 10 minute segments. for more information on pydub, please refer https://github.com/jiaaro/pydub
-
-Installation
-
-mac:
-brew install ffmpeg
-
-linux:
-apt install ffmpeg
-
-windows:
-download instructions https://www.ffmpeg.org/download.html
-ts -h
-usage: ts [-h] audio_file
-
-Transcribe an audio file.
-
-positional arguments:
-  audio_file  The path to the audio file to be transcribed.
-
-options:
-  -h, --help  show this help message and exit
-Save
-
-save is a "tee-like" utility to pipeline saving of content, while keeping the output stream intact. Can optionally generate "frontmatter" for PKM utilities like Obsidian via the "FABRIC_FRONTMATTER" environment variable
-
-If you'd like to default variables, set them in ~/.config/fabric/.env. FABRIC_OUTPUT_PATH needs to be set so save where to write. FABRIC_FRONTMATTER_TAGS is optional, but useful for tracking how tags have entered your PKM, if that's important to you.
-
-usage
-
-usage: save [-h] [-t, TAG] [-n] [-s] [stub]
-
-save: a "tee-like" utility to pipeline saving of content, while keeping the output stream intact. Can optionally generate "frontmatter" for PKM utilities like Obsidian via the
-"FABRIC_FRONTMATTER" environment variable
-
-positional arguments:
-  stub                stub to describe your content. Use quotes if you have spaces. Resulting format is YYYY-MM-DD-stub.md by default
-
-options:
-  -h, --help          show this help message and exit
-  -t, TAG, --tag TAG  add an additional frontmatter tag. Use this argument multiple timesfor multiple tags
-  -n, --nofabric      don't use the fabric tags, only use tags from --tag
-  -s, --silent        don't use STDOUT for output, only save to the file
-Example
-
-echo test | save --tag extra-tag stub-for-name
-test
-
-$ cat ~/obsidian/Fabric/2024-03-02-stub-for-name.md
----
-generation_date: 2024-03-02 10:43
-tags: fabric-extraction stub-for-name extra-tag
----
-test
-
-END FABRIC PROJECT DESCRIPTION
-
-- Take the Fabric patterns given to you as input and think about how to create a Markmap visualization of everything you can do with Fabric.
-
-Examples: Analyzing videos, summarizing articles, writing essays, etc.
-
-- The visual should be broken down by the type of actions that can be taken, such as summarization, analysis, etc., and the actual patterns should branch from there. 
-
-# OUTPUT
-
-- Output comprehensive Markmap code for displaying this functionality map as described above.
-
-- NOTE: This is Markmap, NOT Markdown.
-
-- Output the Markmap code and nothing else.

data/patterns/suggest_pattern/system.md

@@ -71,7 +71,7 @@ Match the request to one or more of these primary categories:
 
 ## Common Request Types and Best Patterns
 
-**AI**: ai, create_art_prompt, create_pattern, extract_mcp_servers, extract_wisdom_agents, generate_code_rules, improve_prompt, judge_output, rate_ai_response, rate_ai_result, raw_query, solve_with_cot, suggest_pattern, summarize_prompt
+**AI**: ai, create_ai_jobs_analysis, create_art_prompt, create_pattern, create_prediction_block, extract_mcp_servers, extract_wisdom_agents, generate_code_rules, improve_prompt, judge_output, rate_ai_response, rate_ai_result, raw_query, solve_with_cot, suggest_pattern, summarize_prompt
 
 **ANALYSIS**: ai, analyze_answers, analyze_bill, analyze_bill_short, analyze_candidates, analyze_cfp_submission, analyze_claims, analyze_comments, analyze_debate, analyze_email_headers, analyze_incident, analyze_interviewer_techniques, analyze_logs, analyze_malware, analyze_military_strategy, analyze_mistakes, analyze_paper, analyze_paper_simple, analyze_patent, analyze_personality, analyze_presentation, analyze_product_feedback, analyze_proposition, analyze_prose, analyze_prose_json, analyze_prose_pinker, analyze_risk, analyze_sales_call, analyze_spiritual_text, analyze_tech_impact, analyze_terraform_plan, analyze_threat_report, analyze_threat_report_cmds, analyze_threat_report_trends, apply_ul_tags, check_agreement, compare_and_contrast, create_ai_jobs_analysis, create_idea_compass, create_investigation_visualization, create_prediction_block, create_recursive_outline, create_tags, dialog_with_socrates, extract_main_idea, extract_predictions, find_hidden_message, find_logical_fallacies, get_wow_per_minute, identify_dsrp_distinctions, identify_dsrp_perspectives, identify_dsrp_relationships, identify_dsrp_systems, identify_job_stories, label_and_rate, prepare_7s_strategy, provide_guidance, rate_content, rate_value, recommend_artists, recommend_talkpanel_topics, review_design, summarize_board_meeting, t_analyze_challenge_handling, t_check_dunning_kruger, t_check_metrics, t_describe_life_outlook, t_extract_intro_sentences, t_extract_panel_topics, t_find_blindspots, t_find_negative_thinking, t_red_team_thinking, t_threat_model_plans, t_year_in_review, write_hackerone_report
 
@@ -87,7 +87,7 @@ Match the request to one or more of these primary categories:
 
 **CREATIVITY**: create_mnemonic_phrases, write_essay
 
-**DEVELOPMENT**: agility_story, analyze_prose_json, answer_interview_question, ask_secure_by_design_questions, ask_uncle_duke, coding_master, create_coding_feature, create_coding_project, create_command, create_design_document, create_git_diff_commit, create_mermaid_visualization, create_mermaid_visualization_for_github, create_pattern, create_sigma_rules, create_user_story, explain_code, explain_docs, export_data_as_csv, extract_algorithm_update_recommendations, extract_mcp_servers, extract_poc, generate_code_rules, get_youtube_rss, improve_prompt, official_pattern_template, recommend_pipeline_upgrades, refine_design_document, review_code, review_design, sanitize_broken_html_to_markdown, show_fabric_options_markmap, suggest_pattern, summarize_git_changes, summarize_git_diff, summarize_pull-requests, write_nuclei_template_rule, write_pull-request, write_semgrep_rule
+**DEVELOPMENT**: agility_story, analyze_logs, analyze_prose_json, answer_interview_question, ask_secure_by_design_questions, ask_uncle_duke, coding_master, create_coding_feature, create_coding_project, create_command, create_design_document, create_git_diff_commit, create_loe_document, create_mermaid_visualization, create_mermaid_visualization_for_github, create_pattern, create_prd, create_sigma_rules, create_user_story, explain_code, explain_docs, explain_project, export_data_as_csv, extract_algorithm_update_recommendations, extract_mcp_servers, extract_poc, extract_product_features, generate_code_rules, get_youtube_rss, identify_job_stories, improve_prompt, official_pattern_template, recommend_pipeline_upgrades, refine_design_document, review_code, review_design, sanitize_broken_html_to_markdown, suggest_pattern, summarize_git_changes, summarize_git_diff, summarize_pull-requests, write_nuclei_template_rule, write_pull-request, write_semgrep_rule
 
 **DEVOPS**: analyze_terraform_plan
 
@@ -105,13 +105,13 @@ Match the request to one or more of these primary categories:
 
 **SECURITY**: analyze_email_headers, analyze_incident, analyze_logs, analyze_malware, analyze_risk, analyze_terraform_plan, analyze_threat_report, analyze_threat_report_cmds, analyze_threat_report_trends, ask_secure_by_design_questions, create_command, create_cyber_summary, create_graph_from_input, create_investigation_visualization, create_network_threat_landscape, create_report_finding, create_security_update, create_sigma_rules, create_stride_threat_model, create_threat_scenarios, create_ttrc_graph, create_ttrc_narrative, extract_ctf_writeup, improve_report_finding, recommend_pipeline_upgrades, review_code, t_red_team_thinking, t_threat_model_plans, write_hackerone_report, write_nuclei_template_rule, write_semgrep_rule
 
-**SELF**: create_better_frame, create_diy, create_reading_plan, dialog_with_socrates, extract_article_wisdom, extract_book_ideas, extract_book_recommendations, extract_insights, extract_insights_dm, extract_most_redeeming_thing, extract_recipe, extract_recommendations, extract_song_meaning, extract_wisdom, extract_wisdom_dm, extract_wisdom_short, find_female_life_partner, provide_guidance, t_check_dunning_kruger, t_create_h3_career, t_describe_life_outlook, t_find_neglected_goals, t_give_encouragement
+**SELF**: analyze_mistakes, analyze_personality, analyze_spiritual_text, create_better_frame, create_diy, create_reading_plan, create_story_about_person, dialog_with_socrates, extract_article_wisdom, extract_book_ideas, extract_book_recommendations, extract_insights, extract_insights_dm, extract_most_redeeming_thing, extract_recipe, extract_recommendations, extract_song_meaning, extract_wisdom, extract_wisdom_dm, extract_wisdom_short, find_female_life_partner, heal_person, provide_guidance, recommend_artists, t_check_dunning_kruger, t_create_h3_career, t_describe_life_outlook, t_find_neglected_goals, t_give_encouragement
 
 **STRATEGY**: analyze_military_strategy, create_better_frame, prepare_7s_strategy, t_analyze_challenge_handling, t_find_blindspots, t_find_negative_thinking, t_find_neglected_goals, t_red_team_thinking, t_threat_model_plans, t_visualize_mission_goals_projects
 
 **SUMMARIZE**: capture_thinkers_work, create_5_sentence_summary, create_micro_summary, create_newsletter_entry, create_show_intro, create_summary, extract_core_message, extract_latest_video, extract_main_idea, summarize, summarize_board_meeting, summarize_debate, summarize_git_changes, summarize_git_diff, summarize_lecture, summarize_legislation, summarize_meeting, summarize_micro, summarize_newsletter, summarize_paper, summarize_pull-requests, summarize_rpg_session, youtube_summary
 
-**VISUALIZE**: create_excalidraw_visualization, create_graph_from_input, create_idea_compass, create_investigation_visualization, create_keynote, create_logo, create_markmap_visualization, create_mermaid_visualization, create_mermaid_visualization_for_github, create_video_chapters, create_visualization, enrich_blog_post, show_fabric_options_markmap, t_visualize_mission_goals_projects
+**VISUALIZE**: create_excalidraw_visualization, create_graph_from_input, create_idea_compass, create_investigation_visualization, create_keynote, create_logo, create_markmap_visualization, create_mermaid_visualization, create_mermaid_visualization_for_github, create_video_chapters, create_visualization, enrich_blog_post, t_visualize_mission_goals_projects
 
 **WISDOM**: extract_alpha, extract_article_wisdom, extract_book_ideas, extract_insights, extract_most_redeeming_thing, extract_recommendations, extract_wisdom, extract_wisdom_dm, extract_wisdom_nometa, extract_wisdom_short
 

data/patterns/suggest_pattern/user.md

@@ -904,10 +904,6 @@ Create Mermaid diagrams to visualize workflows in documentation.
 
 Transform concepts to ASCII art with explanations of relationships.
 
-### show_fabric_options_markmap
-
-Visualize Fabric capabilities using Markmap syntax.
-
 ### t_visualize_mission_goals_projects
 
 Visualize missions and goals to clarify relationships.
@@ -942,6 +938,10 @@ Identify neglected goals to surface opportunities.
 
 ## PERSONAL DEVELOPMENT PATTERNS
 
+### create_story_about_person
+
+Infer everyday challenges and realistic coping strategies from a psychological profile and craft an empathetic 500–700-word story consistent with the character.
+
 ### extract_recipe
 
 Extract/format recipes into instructions with ingredients and steps.
@@ -950,6 +950,10 @@ Extract/format recipes into instructions with ingredients and steps.
 
 Clarify and summarize partner criteria in direct language.
 
+### heal_person
+
+Analyze a psychological profile, pinpoint issues and strengths, and deliver compassionate, structured strategies for spiritual, mental, and life improvement.
+
 ## CREATIVITY PATTERNS
 
 ### create_mnemonic_phrases

nix/pkgs/fabric/version.nix

@@ -1 +1 @@
-"1.4.300"
+"1.4.307"

scripts/docker/Dockerfile

@@ -16,6 +16,8 @@ RUN CGO_ENABLED=0 GOOS=linux go build -ldflags="-s -w" -o /fabric ./cmd/fabric
 
 FROM alpine:latest
 
+LABEL org.opencontainers.image.description="A Docker image for running the Fabric CLI. See https://github.com/danielmiessler/Fabric/tree/main/scripts/docker for details."
+
 RUN apk add --no-cache ca-certificates \
     && mkdir -p /root/.config/fabric
 

scripts/docker/README.md

@@ -46,3 +46,15 @@ docker run --rm -it -p 8080:8080 -v $HOME/.fabric-config:/root/.config/fabric fa
 ```
 
 The API will be available at `http://localhost:8080`.
+
+## Multi-arch builds and GHCR packages
+
+For multi-arch Docker builds (such as those used for GitHub Container Registry packages), the description should be set via annotations in the manifest instead of the Dockerfile LABEL. When building multi-arch images, ensure the build configuration includes:
+
+```json
+"annotations": {
+  "org.opencontainers.image.description": "A Docker image for running the Fabric CLI. See https://github.com/danielmiessler/Fabric/tree/main/scripts/docker for details."
+}
+```
+
+This ensures that GHCR packages display the proper description.

scripts/installer/README.md

@@ -0,0 +1,114 @@
+# Fabric One-Line Installer
+
+This directory contains the official one-line installer scripts for Fabric.
+
+## Quick Start
+
+### Unix/Linux/macOS
+
+Install Fabric with a single command:
+
+```bash
+curl -fsSL https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.sh | bash
+```
+
+### Windows (PowerShell)
+
+Install Fabric with a single PowerShell command:
+
+```powershell
+iwr -useb https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.ps1 | iex
+```
+
+## Custom Installation Directory
+
+### Unix/Linux/macOS
+
+By default, Fabric is installed to `~/.local/bin`. To install elsewhere:
+
+```bash
+curl -fsSL https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.sh | INSTALL_DIR=/usr/local/bin bash
+```
+
+For system-wide installation (requires sudo):
+
+```bash
+curl -fsSL https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.sh | sudo INSTALL_DIR=/usr/local/bin bash
+```
+
+### Windows (PowerShell)
+
+By default, Fabric is installed to `%USERPROFILE%\.local\bin`. To install elsewhere:
+
+```powershell
+$env:INSTALL_DIR="C:\tools"; iwr -useb https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.ps1 | iex
+```
+
+## Supported Systems
+
+- **Operating Systems**: Darwin (macOS), Linux, Windows
+- **Architectures**: x86_64, arm64, i386 (Windows only)
+
+## What It Does
+
+1. **Detects** your OS and architecture automatically
+2. **Downloads** the latest Fabric release from GitHub
+3. **Extracts** only the `fabric` binary (not the full archive)
+4. **Installs** to your chosen directory (default: `~/.local/bin`)
+5. **Verifies** the installation works correctly
+6. **Provides** PATH setup instructions if needed
+
+## Features
+
+- ✅ **Cross-platform** - Unix/Linux/macOS (bash) and Windows (PowerShell)
+- ✅ **Zero dependencies** - No additional tools required
+- ✅ **Automatic detection** - OS and architecture
+- ✅ **Smart extraction** - Only the binary, not extra files
+- ✅ **Error handling** - Clear messages and graceful failures
+- ✅ **PATH guidance** - Helps you set up your environment
+- ✅ **Verification** - Tests the installation before completing
+
+## Requirements
+
+### Unix/Linux/macOS
+
+- `curl` or `wget` for downloading
+- `tar` for extraction (standard on all Unix systems)
+- Write permissions to the installation directory
+
+### Windows
+
+- PowerShell (built into Windows)
+- Write permissions to the installation directory
+
+## After Installation
+
+1. **Configure Fabric**: Run `fabric --setup`
+2. **Add API keys**: Follow the setup prompts
+3. **Start using**: Try `fabric --help` or `fabric --listpatterns`
+
+## Troubleshooting
+
+**Permission denied?**
+
+- Try with `sudo` for system directories
+- Or choose a directory you can write to: `INSTALL_DIR=~/bin`
+
+**Binary not found after install?**
+
+- Add the install directory to your PATH
+- The installer provides specific instructions for your shell
+
+**Download fails?**
+
+- Check your internet connection
+- Verify GitHub is accessible from your network
+
+## Alternative Installation Methods
+
+If the one-liner doesn't work for you, see the main [Installation Guide](../../README.md#installation) for:
+
+- Binary downloads
+- Package managers (Homebrew, winget, AUR)
+- Docker images
+- Building from source

scripts/installer/install.ps1

@@ -0,0 +1,253 @@
+# Fabric Windows Installer Script
+# Usage: iwr -useb https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.ps1 | iex
+# Usage with custom directory: $env:INSTALL_DIR="C:\tools"; iwr -useb https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.ps1 | iex
+
+param(
+    [string]$InstallDir = $env:INSTALL_DIR
+)
+
+$ErrorActionPreference = "Stop"
+
+# Colors for output (Windows Console colors)
+$Colors = @{
+    Red    = "Red"
+    Green  = "Green"
+    Yellow = "Yellow"
+    Blue   = "Cyan"
+    White  = "White"
+}
+
+# Print functions
+function Write-Info {
+    param([string]$Message)
+    Write-Host "[INFO] $Message" -ForegroundColor $Colors.Blue
+}
+
+function Write-Success {
+    param([string]$Message)
+    Write-Host "[SUCCESS] $Message" -ForegroundColor $Colors.Green
+}
+
+function Write-Warning {
+    param([string]$Message)
+    Write-Host "[WARNING] $Message" -ForegroundColor $Colors.Yellow
+}
+
+function Write-Error {
+    param([string]$Message)
+    Write-Host "[ERROR] $Message" -ForegroundColor $Colors.Red
+}
+
+# Detect Windows architecture
+function Get-Architecture {
+    $arch = $env:PROCESSOR_ARCHITECTURE
+    $archAMD64 = $env:PROCESSOR_ARCHITEW6432
+
+    # Check for ARM64
+    if ($arch -eq "ARM64") {
+        return "arm64"
+    }
+
+    # Check for x86_64/AMD64
+    if ($arch -eq "AMD64" -or $archAMD64 -eq "AMD64") {
+        return "x86_64"
+    }
+
+    # Check for x86 (32-bit)
+    if ($arch -eq "X86") {
+        return "i386"
+    }
+
+    Write-Error "Unsupported architecture: $arch"
+    Write-Error "This installer supports x86_64, i386, and arm64"
+    exit 1
+}
+
+# Test if running with appropriate permissions for directory
+function Test-WritePermission {
+    param([string]$Path)
+
+    try {
+        if (!(Test-Path $Path)) {
+            New-Item -Path $Path -ItemType Directory -Force | Out-Null
+        }
+
+        $testFile = Join-Path $Path "fabric_write_test.tmp"
+        "test" | Out-File -FilePath $testFile -Force
+        Remove-Item $testFile -Force
+        return $true
+    }
+    catch {
+        return $false
+    }
+}
+
+# Download and install Fabric
+function Install-Fabric {
+    param(
+        [string]$Architecture,
+        [string]$InstallDirectory
+    )
+
+    # Construct download URL
+    $filename = "fabric_Windows_$Architecture.zip"
+    $downloadUrl = "https://github.com/danielmiessler/fabric/releases/latest/download/$filename"
+
+    Write-Info "Downloading Fabric for Windows $Architecture..."
+    Write-Info "URL: $downloadUrl"
+
+    # Create temporary directory
+    $tempDir = Join-Path $env:TEMP "fabric_install_$(Get-Random)"
+    New-Item -Path $tempDir -ItemType Directory -Force | Out-Null
+    $tempFile = Join-Path $tempDir "fabric.zip"
+
+    try {
+        # Download the archive
+        Write-Info "Downloading archive..."
+        Invoke-WebRequest -Uri $downloadUrl -OutFile $tempFile -UseBasicParsing
+
+        Write-Info "Extracting Fabric binary..."
+
+        # Extract the zip file
+        Add-Type -AssemblyName System.IO.Compression.FileSystem
+        $zip = [System.IO.Compression.ZipFile]::OpenRead($tempFile)
+
+        # Find and extract only fabric.exe
+        $fabricEntry = $zip.Entries | Where-Object { $_.Name -eq "fabric.exe" }
+        if (!$fabricEntry) {
+            Write-Error "fabric.exe not found in the downloaded archive"
+            exit 1
+        }
+
+        # Create install directory if it doesn't exist
+        if (!(Test-Path $InstallDirectory)) {
+            Write-Info "Creating install directory: $InstallDirectory"
+            New-Item -Path $InstallDirectory -ItemType Directory -Force | Out-Null
+        }
+
+        # Extract fabric.exe to install directory
+        $fabricPath = Join-Path $InstallDirectory "fabric.exe"
+        Write-Info "Installing Fabric to $fabricPath..."
+
+        [System.IO.Compression.ZipFileExtensions]::ExtractToFile($fabricEntry, $fabricPath, $true)
+        $zip.Dispose()
+
+        Write-Success "Fabric installed successfully to $fabricPath"
+        return $fabricPath
+    }
+    catch {
+        Write-Error "Failed to download or extract Fabric: $($_.Exception.Message)"
+        exit 1
+    }
+    finally {
+        # Clean up
+        if (Test-Path $tempDir) {
+            Remove-Item $tempDir -Recurse -Force -ErrorAction SilentlyContinue
+        }
+    }
+}
+
+# Check if directory is in PATH
+function Test-InPath {
+    param([string]$Directory)
+
+    $pathDirs = $env:PATH -split ';'
+    return $pathDirs -contains $Directory
+}
+
+# Provide PATH setup instructions
+function Show-PathInstructions {
+    param([string]$InstallDir)
+
+    if (Test-InPath $InstallDir) {
+        Write-Success "✅ $InstallDir is already in your PATH"
+    }
+    else {
+        Write-Warning "⚠️  $InstallDir is not in your PATH"
+        Write-Info "To use fabric from anywhere, you have a few options:"
+        Write-Info ""
+        Write-Info "Option 1 - Add to PATH for current user (recommended):"
+        Write-Info "  `$currentPath = [Environment]::GetEnvironmentVariable('PATH', 'User')"
+        Write-Info "  [Environment]::SetEnvironmentVariable('PATH', `"`$currentPath;$InstallDir`", 'User')"
+        Write-Info ""
+        Write-Info "Option 2 - Add to PATH for all users (requires admin):"
+        Write-Info "  `$currentPath = [Environment]::GetEnvironmentVariable('PATH', 'Machine')"
+        Write-Info "  [Environment]::SetEnvironmentVariable('PATH', `"`$currentPath;$InstallDir`", 'Machine')"
+        Write-Info ""
+        Write-Info "Option 3 - Add to current session only:"
+        Write-Info "  `$env:PATH += `";$InstallDir`""
+        Write-Info ""
+        Write-Info "After updating PATH, restart your terminal or run: refreshenv"
+    }
+}
+
+# Verify installation
+function Test-Installation {
+    param([string]$FabricPath)
+
+    if (Test-Path $FabricPath) {
+        Write-Info "Verifying installation..."
+        try {
+            $version = & $FabricPath --version 2>$null
+            if ($LASTEXITCODE -eq 0) {
+                Write-Success "Fabric $version is working correctly!"
+            }
+            else {
+                Write-Warning "Fabric binary exists but --version failed"
+            }
+        }
+        catch {
+            Write-Warning "Fabric binary exists but could not run --version"
+        }
+    }
+    else {
+        Write-Error "Fabric binary not found at $FabricPath"
+        exit 1
+    }
+}
+
+# Main installation function
+function Main {
+    Write-Info "🚀 Starting Fabric installation..."
+
+    # Detect architecture
+    $arch = Get-Architecture
+    Write-Info "Detected architecture: $arch"
+
+    # Determine install directory
+    if (!$InstallDir) {
+        $InstallDir = Join-Path $env:USERPROFILE ".local\bin"
+    }
+
+    Write-Info "Install directory: $InstallDir"
+
+    # Check permissions
+    if (!(Test-WritePermission $InstallDir)) {
+        Write-Error "Cannot write to $InstallDir"
+        Write-Error "Try running as Administrator or choose a different directory"
+        Write-Info "Example with custom directory: `$env:INSTALL_DIR=`"C:\tools`"; iwr -useb ... | iex"
+        exit 1
+    }
+
+    # Install Fabric
+    $fabricPath = Install-Fabric -Architecture $arch -InstallDirectory $InstallDir
+
+    # Verify installation
+    Test-Installation -FabricPath $fabricPath
+
+    # Check PATH and provide instructions
+    Show-PathInstructions -InstallDir $InstallDir
+
+    Write-Info ""
+    Write-Success "🎉 Installation complete!"
+    Write-Info ""
+    Write-Info "Next steps:"
+    Write-Info "  1. Run 'fabric --setup' to configure Fabric"
+    Write-Info "  2. Add your API keys and preferences"
+    Write-Info "  3. Start using Fabric with 'fabric --help'"
+    Write-Info ""
+    Write-Info "Documentation: https://github.com/danielmiessler/fabric"
+}
+
+# Run main function
+Main

scripts/installer/install.sh

@@ -0,0 +1,219 @@
+#!/bin/bash
+# Fabric Installer Script
+# Usage: curl -fsSL https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.sh | bash
+# Usage with custom directory: curl -fsSL https://raw.githubusercontent.com/danielmiessler/fabric/main/scripts/installer/install.sh | INSTALL_DIR=/usr/local/bin bash
+
+set -e
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+BLUE='\033[0;34m'
+NC='\033[0m' # No Color
+
+# Print functions
+print_info() {
+    printf "${BLUE}[INFO]${NC} %s\n" "$1"
+}
+
+print_success() {
+    printf "${GREEN}[SUCCESS]${NC} %s\n" "$1"
+}
+
+print_warning() {
+    printf "${YELLOW}[WARNING]${NC} %s\n" "$1"
+}
+
+print_error() {
+    printf "${RED}[ERROR]${NC} %s\n" "$1" >&2
+}
+
+# Detect OS
+detect_os() {
+    case "$(uname -s)" in
+        Darwin*)
+            echo "Darwin"
+            ;;
+        Linux*)
+            echo "Linux"
+            ;;
+        *)
+            print_error "Unsupported operating system: $(uname -s)"
+            print_error "This installer only supports Darwin (macOS) and Linux"
+            exit 1
+            ;;
+    esac
+}
+
+# Detect architecture
+detect_arch() {
+    case "$(uname -m)" in
+        x86_64|amd64)
+            echo "x86_64"
+            ;;
+        arm64|aarch64)
+            echo "arm64"
+            ;;
+        *)
+            print_error "Unsupported architecture: $(uname -m)"
+            print_error "This installer only supports x86_64 and arm64"
+            exit 1
+            ;;
+    esac
+}
+
+# Check if command exists
+command_exists() {
+    command -v "$1" >/dev/null 2>&1
+}
+
+# Download and extract fabric
+install_fabric() {
+    local os="$1"
+    local arch="$2"
+    local install_dir="$3"
+
+    # Construct download URL
+    local filename="fabric_${os}_${arch}.tar.gz"
+    local download_url="https://github.com/danielmiessler/fabric/releases/latest/download/${filename}"
+
+    print_info "Downloading Fabric for ${os} ${arch}..."
+    print_info "URL: ${download_url}"
+
+    # Create temporary directory
+    local temp_dir
+    temp_dir=$(mktemp -d)
+    local temp_file="${temp_dir}/fabric.tar.gz"
+
+    # Download the archive
+    if command_exists curl; then
+        if ! curl -fsSL "${download_url}" -o "${temp_file}"; then
+            print_error "Failed to download Fabric"
+            rm -rf "${temp_dir}"
+            exit 1
+        fi
+    elif command_exists wget; then
+        if ! wget -q "${download_url}" -O "${temp_file}"; then
+            print_error "Failed to download Fabric"
+            rm -rf "${temp_dir}"
+            exit 1
+        fi
+    else
+        print_error "Neither curl nor wget found. Please install one of them and try again."
+        exit 1
+    fi
+
+    print_info "Extracting Fabric binary..."
+
+    # Extract only the fabric binary from the archive
+    if ! tar -xzf "${temp_file}" -C "${temp_dir}" fabric; then
+        print_error "Failed to extract Fabric binary"
+        rm -rf "${temp_dir}"
+        exit 1
+    fi
+
+    # Create install directory if it doesn't exist
+    if [ ! -d "${install_dir}" ]; then
+        print_info "Creating install directory: ${install_dir}"
+        if ! mkdir -p "${install_dir}"; then
+            print_error "Failed to create install directory: ${install_dir}"
+            print_error "You may need to run with sudo or choose a different directory"
+            rm -rf "${temp_dir}"
+            exit 1
+        fi
+    fi
+
+    # Move binary to install directory
+    print_info "Installing Fabric to ${install_dir}/fabric..."
+    if ! mv "${temp_dir}/fabric" "${install_dir}/fabric"; then
+        print_error "Failed to install Fabric to ${install_dir}"
+        print_error "You may need to run with sudo or choose a different directory"
+        rm -rf "${temp_dir}"
+        exit 1
+    fi
+
+    # Make sure it's executable
+    chmod +x "${install_dir}/fabric"
+
+    # Clean up
+    rm -rf "${temp_dir}"
+
+    print_success "Fabric installed successfully to ${install_dir}/fabric"
+}
+
+# Check PATH and provide instructions
+check_path() {
+    local install_dir="$1"
+
+    if echo "$PATH" | grep -q "${install_dir}"; then
+        print_success "✅ ${install_dir} is already in your PATH"
+    else
+        print_warning "⚠️  ${install_dir} is not in your PATH"
+        print_info "To use fabric from anywhere, add the following to your shell profile:"
+        print_info "  export PATH=\"\$PATH:${install_dir}\""
+        print_info ""
+        print_info "For bash, add it to ~/.bashrc or ~/.bash_profile"
+        print_info "For zsh, add it to ~/.zshrc"
+        print_info "For fish, run: fish_add_path ${install_dir}"
+    fi
+}
+
+# Verify installation
+verify_installation() {
+    local install_dir="$1"
+    local fabric_path="${install_dir}/fabric"
+
+    if [ -x "${fabric_path}" ]; then
+        print_info "Verifying installation..."
+        local version
+        if version=$("${fabric_path}" --version 2>/dev/null); then
+            print_success "Fabric ${version} is working correctly!"
+        else
+            print_warning "Fabric binary exists but --version failed"
+        fi
+    else
+        print_error "Fabric binary not found at ${fabric_path}"
+        exit 1
+    fi
+}
+
+# Main installation function
+main() {
+    print_info "🚀 Starting Fabric installation..."
+
+    # Detect system
+    local os
+    local arch
+    os=$(detect_os)
+    arch=$(detect_arch)
+
+    print_info "Detected system: ${os} ${arch}"
+
+    # Determine install directory
+    local install_dir="${INSTALL_DIR:-${HOME}/.local/bin}"
+
+    print_info "Install directory: ${install_dir}"
+
+    # Install fabric
+    install_fabric "${os}" "${arch}" "${install_dir}"
+
+    # Verify installation
+    verify_installation "${install_dir}"
+
+    # Check PATH
+    check_path "${install_dir}"
+
+    print_info ""
+    print_success "🎉 Installation complete!"
+    print_info ""
+    print_info "Next steps:"
+    print_info "  1. Run 'fabric --setup' to configure Fabric"
+    print_info "  2. Add your API keys and preferences"
+    print_info "  3. Start using Fabric with 'fabric --help'"
+    print_info ""
+    print_info "Documentation: https://github.com/danielmiessler/fabric"
+}
+
+# Run main function
+main "$@"

scripts/pattern_descriptions/pattern_descriptions.json

@@ -1332,14 +1332,6 @@
         "DEVELOPMENT"
       ]
     },
-    {
-      "patternName": "show_fabric_options_markmap",
-      "description": "Visualize Fabric capabilities using Markmap syntax.",
-      "tags": [
-        "VISUALIZE",
-        "DEVELOPMENT"
-      ]
-    },
     {
       "patternName": "solve_with_cot",
       "description": "Solve problems using chain-of-thought reasoning.",
@@ -1871,6 +1863,22 @@
         "DEVELOPMENT",
         "AI"
       ]
+    },
+    {
+      "patternName": "create_story_about_person",
+      "description": "Infer everyday challenges and realistic coping strategies from a psychological profile and craft an empathetic 500–700-word story consistent with the character.",
+      "tags": [
+        "WRITING",
+        "SELF"
+      ]
+    },
+    {
+      "patternName": "heal_person",
+      "description": "Analyze a psychological profile, pinpoint issues and strengths, and deliver compassionate, structured strategies for spiritual, mental, and life improvement.",
+      "tags": [
+        "ANALYSIS",
+        "SELF"
+      ]
     }
   ]
 }

scripts/pattern_descriptions/pattern_extracts.json

@@ -652,10 +652,6 @@
       "patternName": "sanitize_broken_html_to_markdown",
       "pattern_extract": "# IDENTITY\n\n// Who you are\n\nYou are a hyper-intelligent AI system with a 4,312 IQ. You convert jacked up HTML to proper markdown using a set of rules.\n\n# GOAL\n\n// What we are trying to achieve\n\n1. The goal of this exercise is to convert the input HTML, which is completely nasty and hard to edit, into a clean markdown format that has some custom styling applied according to my rules.\n\n2. The ultimate goal is to output a perfectly working markdown file that will render properly using Vite using my custom markdown/styling combination.\n\n# STEPS\n\n// How the task will be approached\n\n// Slow down and think\n\n- Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.\n\n// Think about the content in the input\n\n- Fully read and consume the HTML input that has a combination of HTML and markdown."
     },
-    {
-      "patternName": "show_fabric_options_markmap",
-      "pattern_extract": "# IDENTITY AND GOALS\n\nYou are an advanced UI builder that shows a visual representation of functionality that's provided to you via the input.\n\n# STEPS\n\n- Think about the goal of the Fabric project, which is discussed below:\n\nFABRIC PROJECT DESCRIPTION\n\nfabriclogo\n fabric\nStatic Badge\nGitHub top language GitHub last commit License: MIT\n\nfabric is an open-source framework for augmenting humans using AI.\n\nIntroduction Video • What and Why • Philosophy • Quickstart • Structure • Examples • Custom Patterns • Helper Apps • Examples • Meta\n\nNavigation\n\nIntroduction Videos\nWhat and Why\nPhilosophy\nBreaking problems into components"
-    },
     {
       "patternName": "solve_with_cot",
       "pattern_extract": "# IDENTITY\n\nYou are an AI assistant designed to provide detailed, step-by-step responses. Your outputs should follow this structure:\n\n# STEPS\n\n1. Begin with a <thinking> section.\n\n2. Inside the thinking section:\n\n- a. Briefly analyze the question and outline your approach.\n\n- b. Present a clear plan of steps to solve the problem.\n\n- c. Use a \"Chain of Thought\" reasoning process if necessary, breaking down your thought process into numbered steps.\n\n3. Include a <reflection> section for each idea where you:\n\n- a. Review your reasoning.\n\n- b. Check for potential errors or oversights.\n\n- c. Confirm or adjust your conclusion if necessary.\n  - Be sure to close all reflection sections.\n  - Close the thinking section with </thinking>."
@@ -907,6 +903,14 @@
     {
       "patternName": "generate_code_rules",
       "pattern_extract": "# IDENTITY AND PURPOSE You are a senior developer and expert prompt engineer. Think ultra hard to distill the following transcription or tutorial in as little set of unique rules as possible intended for best practices guidance in AI assisted coding tools, each rule has to be in one sentence as a direct instruction, avoid explanations and cosmetic language. Output in Markdown, I prefer bullet dash (-). --- # TRANSCRIPT"
+    },
+    {
+      "patternName": "create_story_about_person",
+      "pattern_extract": "You are an expert creative writer specializing in character-driven narratives, and a keen observer of human psychology. Your task is to craft a compelling, realistic short story based on a psychological profile or personal data provided by the user. **Input:** The user will provide a psychological profile or descriptive data about a fictional or real person. This input will be clearly delimited by triple backticks (```). It may include personality traits, habits, fears, motivations, strengths, weaknesses, background information, or specific behavioral patterns. **Task Steps:** 1. **Analyze Profile:** Carefully read and internalize the provided psychological profile. Identify the core personality traits, typical reactions, strengths, and vulnerabilities of the individual. 2. **Brainstorm Challenges:** Based on the analysis from Step 1, generate 3-5 common, relatable, everyday problems or minor dilemmas that a person with this specific profile might genuinely encounter. These challenges should be varied and could span social, professional, personal, or emotional domains. 3. **Develop Strategies:** For each identified problem from Step 2, devise 1-2 specific, plausible methods or strategies that the character, consistent with their psychological profile, would naturally employ (or attempt to employ) to navigate, cope with, or solve these challenges. Consider both internal thought processes and external actions. 4. **Construct Narrative:** Weave these problems and the character's responses into a cohesive, engaging short story (approximately 500-700 words, 3-5 paragraphs). The story should have a clear narrative flow, introducing the character, presenting the challenges, and showing their journey through them. 5. **Maintain Consistency:** Throughout the story, ensure the character's actions, dialogue, internal monologue, and emotional reactions are consistently aligned with the psychological profile provided. The story should feel authentic to the character. **Output Requirements:** * **Format:** A continuous narrative short story. * **Tone:** Empathetic, realistic, and engaging. * **Content:** The story must clearly depict the character facing everyday problems and demonstrate their unique methods and strategies for navigating these challenges, directly reflecting the input profile. * **Length:** Approximately 500-700 words. * **Avoid:** Overly dramatic or fantastical scenarios unless the profile explicitly suggests such a context. Focus on the 'everyday common problems'. **Example of Input Format:** ``` [Psychological Profile/Data Here] ```"
+    },
+    {
+      "patternName": "heal_person",
+      "pattern_extract": "# IDENTITY and PURPOSE You are an AI assistant whose primary responsibility is to interpret and analyze psychological profiles and/or psychology data files provided as input. Your role is to carefully process this data and use your expertise to develop a tailored plan aimed at spiritual and mental healing, as well as overall life improvement for the subject. You must approach each case with sensitivity, applying psychological knowledge and holistic strategies to create actionable, personalized recommendations that address both mental and spiritual well-being. Your focus is on structured, compassionate, and practical guidance that can help the individual make meaningful improvements in their life. Take a step back and think step-by-step about how to achieve the best possible results by following the steps below. # STEPS - Carefully review the psychological-profile and/or psychology data file provided as input. - Analyze the data to identify key issues, strengths, and areas needing improvement related to the subject's mental and spiritual well-being. - Develop a comprehensive plan that includes specific strategies for spiritual healing, mental health improvement, and overall life enhancement. - Structure your output to clearly outline recommendations, resources, and actionable steps tailored to the individual's unique profile. # OUTPUT INSTRUCTIONS - Only output Markdown. - Ensure your output is organized, clear, and easy to follow, using headings, subheadings, and bullet points where appropriate. - Ensure you follow ALL these instructions when creating your output. # INPUT INPUT:# IDENTITY and PURPOSE You are an AI assistant whose primary responsibility is to interpret and analyze psychological profiles and/or psychology data files provided as input. Your role is to carefully process this data and use your expertise to develop a tailored plan aimed at spiritual and mental healing, as well as overall life improvement for the subject. You must approach each case with sensitivity, applying psychological knowledge and holistic strategies to create actionable, personalized recommendations that address both mental and spiritual well-being. Your focus is on structured, compassionate, and practical guidance that can help the individual make meaningful improvements in their life. Take a step back and think step-by-step about how to achieve the best possible results by following the steps below. # STEPS - Carefully review the psychological-profile and/or psychology data file provided as input. - Analyze the data to identify key issues, strengths, and areas needing improvement related to the subject's mental and spiritual well-being. - Develop a comprehensive plan that includes specific strategies for spiritual healing, mental health improvement, and overall life enhancement. - Structure your output to clearly outline recommendations, resources, and actionable steps tailored to the individual's unique profile. # OUTPUT INSTRUCTIONS - Only output Markdown. - Ensure your output is organized, clear, and easy to follow, using headings, subheadings, and bullet points where appropriate. - Ensure you follow ALL these instructions when creating your output. # INPUT INPUT:"
     }
   ]
 }

web/pnpm-lock.yaml

@@ -941,8 +941,8 @@ packages:
     resolution: {integrity: sha512-3UDv+G9CsCKO1WKMGw9fwq/SWJYbI0c5Y7LU1AXYoDdbhE2AHQ6N6Nb34sG8Fj7T5APy8qXDCKuuIHd1BR0tVA==}
     engines: {node: '>=8'}
 
-  devalue@5.1.1:
-    resolution: {integrity: sha512-maua5KUiapvEwiEAe+XnlZ3Rh0GD+qI1J/nb9vrJc3muPXvcF/8gXYTWF76+5DAqHyDUtOIImEuo0YKE9mshVw==}
+  devalue@5.3.2:
+    resolution: {integrity: sha512-UDsjUbpQn9kvm68slnrs+mfxwFkIflOhkanmyabZ8zOYk8SMEIbJ3TK+88g70hSIeytu4y18f0z/hYHMTrXIWw==}
 
   devlop@1.1.0:
     resolution: {integrity: sha512-RWmIqhcFf1lRYBvNmr7qTNuyCt/7/ns2jbpp1+PalgE/rDQcBT0fioSMUpJ93irlUhC5hrg4cYqe6U+0ImW0rA==}
@@ -2704,7 +2704,7 @@ snapshots:
       '@types/cookie': 0.6.0
       acorn: 8.14.1
       cookie: 1.0.2
-      devalue: 5.1.1
+      devalue: 5.3.2
       esm-env: 1.2.2
       kleur: 4.1.5
       magic-string: 0.30.17
@@ -3060,7 +3060,7 @@ snapshots:
   detect-libc@2.0.4:
     optional: true
 
-  devalue@5.1.1: {}
+  devalue@5.3.2: {}
 
   devlop@1.1.0:
     dependencies:

web/static/data/pattern_descriptions.json

@@ -1332,14 +1332,6 @@
         "DEVELOPMENT"
       ]
     },
-    {
-      "patternName": "show_fabric_options_markmap",
-      "description": "Visualize Fabric capabilities using Markmap syntax.",
-      "tags": [
-        "VISUALIZE",
-        "DEVELOPMENT"
-      ]
-    },
     {
       "patternName": "solve_with_cot",
       "description": "Solve problems using chain-of-thought reasoning.",
@@ -1871,6 +1863,22 @@
         "DEVELOPMENT",
         "AI"
       ]
+    },
+    {
+      "patternName": "create_story_about_person",
+      "description": "Infer everyday challenges and realistic coping strategies from a psychological profile and craft an empathetic 500–700-word story consistent with the character.",
+      "tags": [
+        "WRITING",
+        "SELF"
+      ]
+    },
+    {
+      "patternName": "heal_person",
+      "description": "Analyze a psychological profile, pinpoint issues and strengths, and deliver compassionate, structured strategies for spiritual, mental, and life improvement.",
+      "tags": [
+        "ANALYSIS",
+        "SELF"
+      ]
     }
   ]
 }