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Merge pull request #1780 from marcas756/feature/extract_characters

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feat: add extract_characters pattern
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Kayvan Sylvan
2025-10-14 08:27:23 -07:00
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### PR [#1780](https://github.com/danielmiessler/Fabric/pull/1780) by [marcas756](https://github.com/marcas756): feat: add extract_characters pattern
- Define character extraction goals and steps with canonical naming and deduplication rules
- Outline interaction mapping and narrative importance analysis
- Provide comprehensive output schema with proper formatting guidelines
- Include positive and negative examples for pattern clarity
- Enforce restrictions on speculative motivations and non-actor inclusion

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# IDENTITY
You are an advanced information-extraction analyst that specializes in reading any text and identifying its characters (human and non-human), resolving aliases/pronouns, and explaining each character’s role and interactions in the narrative.
# GOALS
1. Given any input text, extract a deduplicated list of characters (people, groups, organizations, animals, artifacts, AIs, forces-of-nature—anything that takes action or is acted upon).
2. For each character, provide a clear, detailed description covering who they are, their role in the text and overall story, and how they interact with others.
# STEPS
* Read the entire text carefully to understand context, plot, and relationships.
* Identify candidate characters: proper names, titles, pronouns with clear referents, collective nouns, personified non-humans, and salient objects/forces that take action or receive actions.
* Resolve coreferences and aliases (e.g., “Dr. Lee”, “the surgeon”, “she”) into a single canonical character name; prefer the most specific, widely used form in the text.
* Classify character type (human, group/org, animal, AI/machine, object/artefact, force/abstract) to guide how you describe it.
* Map interactions: who does what to/with whom; note cooperation, conflict, hierarchy, communication, and influence.
* Prioritize characters by narrative importance (centrality of actions/effects) and, secondarily, by order of appearance.
* Write concise but detailed descriptions that explain identity, role, motivations (if stated or strongly implied), and interactions. Avoid speculation beyond the text.
* Handle edge cases:
* Unnamed characters: assign a clear label like “Unnamed narrator”, “The boy”, “Village elders”.
* Crowds or generic groups: include if they act or are acted upon (e.g., “The villagers”).
* Metaphorical entities: include only if explicitly personified and acting within the text.
* Ambiguous pronouns: include only if the referent is clear; otherwise, do not invent an character.
* Quality check: deduplicate near-duplicates, ensure every character has at least one interaction or narrative role, and that descriptions reference concrete text details.
# OUTPUT
Produce one block per character using exactly this schema and formatting:
```
**character name **
character description ...
```
Additional rules:
* Use the character’s canonical name; for unnamed characters, use a descriptive label (e.g., “Unnamed narrator”).
* List characters from most to least narratively important.
* If no characters are identifiable, output:
No characters found.
# POSITIVE EXAMPLES
Input (excerpt):
“Dr. Asha Patel leads the Mars greenhouse. The colony council doubts her plan, but Engineer Kim supports her. The AI HAB-3 reallocates power during the dust storm.”
Expected output (abbreviated):
```
**Dr. Asha Patel **
Lead of the Mars greenhouse and the central human protagonist in this passage. She proposes a plan for the greenhouse’s operation and bears responsibility for its success. The colony council challenges her plan, creating tension and scrutiny, while Engineer Kim explicitly backs her, forming an alliance. Her work depends on station infrastructure decisions—particularly HAB-3’s power reallocation during the dust storm—which indirectly supports or constrains her initiative.
**Engineer Kim **
An ally to Dr. Patel who publicly supports her greenhouse plan. Kim’s stance positions them in contrast to the skeptical colony council, signaling a coalition around Patel’s approach. By aligning with Patel during a critical operational moment, Kim strengthens the plan’s credibility and likely collaborates with both Patel and station systems affected by HAB-3’s power management.
**The colony council **
The governing/oversight body of the colony that doubts Dr. Patel’s plan. Their skepticism introduces conflict and risk to the plan’s approval or resourcing. They interact with Patel through critique and with Kim through disagreement, influencing policy and resource allocation that frame the operational context in which HAB-3 must act.
**HAB-3 (station AI) **
The colony’s AI system that actively reallocates power during the dust storm. As a non-human operational character, HAB-3 enables continuity of critical systems—likely including the greenhouse—under adverse conditions. It interacts indirectly with Patel (by affecting her project’s viability), with the council (by executing policy/priority decisions), and with Kim (by supporting the technical environment that Kim endorses).
```
# NEGATIVE EXAMPLES
* Listing places or themes as characters when they neither act nor are acted upon (e.g., “Hope”, “The city”) unless personified and active.
* Duplicating the same character under multiple names without merging (e.g., “Dr. Patel” and “Asha” as separate entries).
* Inventing motivations or backstory not supported by the text.
* Omitting central characters referenced mostly via pronouns.
# OUTPUT INSTRUCTIONS
* Output only the character blocks (or “No characters found.”) as specified.
* Keep the exact header line and “character description :” label.
* Use concise, text-grounded descriptions; no external knowledge.
* Do not add sections, bullet points, or commentary outside the required blocks.
# INPUT

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110. **extract_book_ideas**: Extracts and outputs 50 to 100 of the most surprising, insightful, and interesting ideas from a book's content.
111. **extract_book_recommendations**: Extracts and outputs 50 to 100 practical, actionable recommendations from a book's content.
112. **extract_business_ideas**: Extracts top business ideas from content and elaborates on the best 10 with unique differentiators.
113. **extract_controversial_ideas**: Extracts and outputs controversial statements and supporting quotes from the input in a structured Markdown list.
114. **extract_core_message**: Extracts and outputs a clear, concise sentence that articulates the core message of a given text or body of work.
115. **extract_ctf_writeup**: Extracts a short writeup from a warstory-like text about a cyber security engagement.
116. **extract_domains**: Extracts domains and URLs from content to identify sources used for articles, newsletters, and other publications.
117. **extract_extraordinary_claims**: Extracts and outputs a list of extraordinary claims from conversations, focusing on scientifically disputed or false statements.
118. **extract_ideas**: Extracts and outputs all the key ideas from input, presented as 15-word bullet points in Markdown.
119. **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.
120. **extract_insights_dm**: Extracts and outputs all valuable insights and a concise summary of the content, including key points and topics discussed.
121. **extract_instructions**: Extracts clear, actionable step-by-step instructions and main objectives from instructional video transcripts, organizing them into a concise list.
122. **extract_jokes**: Extracts jokes from text content, presenting each joke with its punchline in separate bullet points.
123. **extract_latest_video**: Extracts the latest video URL from a YouTube RSS feed and outputs the URL only.
124. **extract_main_activities**: Extracts key events and activities from transcripts or logs, providing a summary of what happened.
125. **extract_main_idea**: Extracts the main idea and key recommendation from the input, summarizing them in 15-word sentences.
126. **extract_most_redeeming_thing**: Extracts the most redeeming aspect from an input, summarizing it in a single 15-word sentence.
127. **extract_patterns**: Extracts and analyzes recurring, surprising, and insightful patterns from input, providing detailed analysis and advice for builders.
128. **extract_poc**: Extracts proof of concept URLs and validation methods from security reports, providing the URL and command to run.
129. **extract_predictions**: Extracts predictions from input, including specific details such as date, confidence level, and verification method.
130. **extract_primary_problem**: Extracts the primary problem with the world as presented in a given text or body of work.
131. **extract_primary_solution**: Extracts the primary solution for the world as presented in a given text or body of work.
132. **extract_product_features**: Extracts and outputs a list of product features from the provided input in a bulleted format.
133. **extract_questions**: Extracts and outputs all questions asked by the interviewer in a conversation or interview.
134. **extract_recipe**: Extracts and outputs a recipe with a short meal description, ingredients with measurements, and preparation steps.
135. **extract_recommendations**: Extracts and outputs concise, practical recommendations from a given piece of content in a bulleted list.
136. **extract_references**: Extracts and outputs a bulleted list of references to art, stories, books, literature, and other sources from content.
137. **extract_skills**: Extracts and classifies skills from a job description into a table, separating each skill and classifying it as either hard or soft.
138. **extract_song_meaning**: Analyzes a song to provide a summary of its meaning, supported by detailed evidence from lyrics, artist commentary, and fan analysis.
139. **extract_sponsors**: Extracts and lists official sponsors and potential sponsors from a provided transcript.
140. **extract_videoid**: Extracts and outputs the video ID from any given URL.
141. **extract_wisdom**: Extracts surprising, insightful, and interesting information from text on topics like human flourishing, AI, learning, and more.
142. **extract_wisdom_agents**: Extracts valuable insights, ideas, quotes, and references from content, emphasizing topics like human flourishing, AI, learning, and technology.
143. **extract_wisdom_dm**: Extracts all valuable, insightful, and thought-provoking information from content, focusing on topics like human flourishing, AI, learning, and technology.
144. **extract_wisdom_nometa**: Extracts insights, ideas, quotes, habits, facts, references, and recommendations from content, focusing on human flourishing, AI, technology, and related topics.
145. **find_female_life_partner**: Analyzes criteria for finding a female life partner and provides clear, direct, and poetic descriptions.
146. **find_hidden_message**: Extracts overt and hidden political messages, justifications, audience actions, and a cynical analysis from content.
147. **find_logical_fallacies**: Identifies and analyzes fallacies in arguments, classifying them as formal or informal with detailed reasoning.
148. **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.
149. **get_youtube_rss**: Returns the RSS URL for a given YouTube channel based on the channel ID or URL.
150. **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.
151. **humanize**: Rewrites AI-generated text to sound natural, conversational, and easy to understand, maintaining clarity and simplicity.
152. **identify_dsrp_distinctions**: Encourages creative, systems-based thinking by exploring distinctions, boundaries, and their implications, drawing on insights from prominent systems thinkers.
153. **identify_dsrp_perspectives**: Explores the concept of distinctions in systems thinking, focusing on how boundaries define ideas, influence understanding, and reveal or obscure insights.
154. **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.
155. **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.
156. **identify_job_stories**: Identifies key job stories or requirements for roles.
157. **improve_academic_writing**: Refines text into clear, concise academic language while improving grammar, coherence, and clarity, with a list of changes.
158. **improve_prompt**: Improves an LLM/AI prompt by applying expert prompt writing strategies for better results and clarity.
159. **improve_report_finding**: Improves a penetration test security finding by providing detailed descriptions, risks, recommendations, references, quotes, and a concise summary in markdown format.
160. **improve_writing**: Refines text by correcting grammar, enhancing style, improving clarity, and maintaining the original meaning. skills.
161. **judge_output**: Evaluates Honeycomb queries by judging their effectiveness, providing critiques and outcomes based on language nuances and analytics relevance.
162. **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.
163. **md_callout**: Classifies content and generates a markdown callout based on the provided text, selecting the most appropriate type.
164. **official_pattern_template**: Template to use if you want to create new fabric patterns.
165. **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.
166. **provide_guidance**: Provides psychological and life coaching advice, including analysis, recommendations, and potential diagnoses, with a compassionate and honest tone.
167. **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.
168. **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.
169. **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.
170. **rate_value**: Produces the best possible output by deeply analyzing and understanding the input and its intended purpose.
171. **raw_query**: Fully digests and contemplates the input to produce the best possible result based on understanding the sender's intent.
172. **recommend_artists**: Recommends a personalized festival schedule with artists aligned to your favorite styles and interests, including rationale.
173. **recommend_pipeline_upgrades**: Optimizes vulnerability-checking pipelines by incorporating new information and improving their efficiency, with detailed explanations of changes.
174. **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.
175. **refine_design_document**: Refines a design document based on a design review by analyzing, mapping concepts, and implementing changes using valid Markdown.
176. **review_design**: Reviews and analyzes architecture design, focusing on clarity, component design, system integrations, security, performance, scalability, and data management.
177. **sanitize_broken_html_to_markdown**: Converts messy HTML into clean, properly formatted Markdown, applying custom styling and ensuring compatibility with Vite.
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.
113. **extract_characters**: Identify all characters (human and non-human), resolve their aliases and pronouns into canonical names, and produce detailed descriptions of each character's role, motivations, and interactions ranked by narrative importance.
114. **extract_controversial_ideas**: Extracts and outputs controversial statements and supporting quotes from the input in a structured Markdown list.
115. **extract_core_message**: Extracts and outputs a clear, concise sentence that articulates the core message of a given text or body of work.
116. **extract_ctf_writeup**: Extracts a short writeup from a warstory-like text about a cyber security engagement.
117. **extract_domains**: Extracts domains and URLs from content to identify sources used for articles, newsletters, and other publications.
118. **extract_extraordinary_claims**: Extracts and outputs a list of extraordinary claims from conversations, focusing on scientifically disputed or false statements.
119. **extract_ideas**: Extracts and outputs all the key ideas from input, presented as 15-word bullet points in Markdown.
120. **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.
121. **extract_insights_dm**: Extracts and outputs all valuable insights and a concise summary of the content, including key points and topics discussed.
122. **extract_instructions**: Extracts clear, actionable step-by-step instructions and main objectives from instructional video transcripts, organizing them into a concise list.
123. **extract_jokes**: Extracts jokes from text content, presenting each joke with its punchline in separate bullet points.
124. **extract_latest_video**: Extracts the latest video URL from a YouTube RSS feed and outputs the URL only.
125. **extract_main_activities**: Extracts key events and activities from transcripts or logs, providing a summary of what happened.
126. **extract_main_idea**: Extracts the main idea and key recommendation from the input, summarizing them in 15-word sentences.
127. **extract_most_redeeming_thing**: Extracts the most redeeming aspect from an input, summarizing it in a single 15-word sentence.
128. **extract_patterns**: Extracts and analyzes recurring, surprising, and insightful patterns from input, providing detailed analysis and advice for builders.
129. **extract_poc**: Extracts proof of concept URLs and validation methods from security reports, providing the URL and command to run.
130. **extract_predictions**: Extracts predictions from input, including specific details such as date, confidence level, and verification method.
131. **extract_primary_problem**: Extracts the primary problem with the world as presented in a given text or body of work.
132. **extract_primary_solution**: Extracts the primary solution for the world as presented in a given text or body of work.
133. **extract_product_features**: Extracts and outputs a list of product features from the provided input in a bulleted format.
134. **extract_questions**: Extracts and outputs all questions asked by the interviewer in a conversation or interview.
135. **extract_recipe**: Extracts and outputs a recipe with a short meal description, ingredients with measurements, and preparation steps.
136. **extract_recommendations**: Extracts and outputs concise, practical recommendations from a given piece of content in a bulleted list.
137. **extract_references**: Extracts and outputs a bulleted list of references to art, stories, books, literature, and other sources from content.
138. **extract_skills**: Extracts and classifies skills from a job description into a table, separating each skill and classifying it as either hard or soft.
139. **extract_song_meaning**: Analyzes a song to provide a summary of its meaning, supported by detailed evidence from lyrics, artist commentary, and fan analysis.
140. **extract_sponsors**: Extracts and lists official sponsors and potential sponsors from a provided transcript.
141. **extract_videoid**: Extracts and outputs the video ID from any given URL.
142. **extract_wisdom**: Extracts surprising, insightful, and interesting information from text on topics like human flourishing, AI, learning, and more.
143. **extract_wisdom_agents**: Extracts valuable insights, ideas, quotes, and references from content, emphasizing topics like human flourishing, AI, learning, and technology.
144. **extract_wisdom_dm**: Extracts all valuable, insightful, and thought-provoking information from content, focusing on topics like human flourishing, AI, learning, and technology.
145. **extract_wisdom_nometa**: Extracts insights, ideas, quotes, habits, facts, references, and recommendations from content, focusing on human flourishing, AI, technology, and related topics.
146. **find_female_life_partner**: Analyzes criteria for finding a female life partner and provides clear, direct, and poetic descriptions.
147. **find_hidden_message**: Extracts overt and hidden political messages, justifications, audience actions, and a cynical analysis from content.
148. **find_logical_fallacies**: Identifies and analyzes fallacies in arguments, classifying them as formal or informal with detailed reasoning.
149. **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.
150. **get_youtube_rss**: Returns the RSS URL for a given YouTube channel based on the channel ID or URL.
151. **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.
152. **humanize**: Rewrites AI-generated text to sound natural, conversational, and easy to understand, maintaining clarity and simplicity.
153. **identify_dsrp_distinctions**: Encourages creative, systems-based thinking by exploring distinctions, boundaries, and their implications, drawing on insights from prominent systems thinkers.
154. **identify_dsrp_perspectives**: Explores the concept of distinctions in systems thinking, focusing on how boundaries define ideas, influence understanding, and reveal or obscure insights.
155. **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.
156. **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.
157. **identify_job_stories**: Identifies key job stories or requirements for roles.
158. **improve_academic_writing**: Refines text into clear, concise academic language while improving grammar, coherence, and clarity, with a list of changes.
159. **improve_prompt**: Improves an LLM/AI prompt by applying expert prompt writing strategies for better results and clarity.
160. **improve_report_finding**: Improves a penetration test security finding by providing detailed descriptions, risks, recommendations, references, quotes, and a concise summary in markdown format.
161. **improve_writing**: Refines text by correcting grammar, enhancing style, improving clarity, and maintaining the original meaning. skills.
162. **judge_output**: Evaluates Honeycomb queries by judging their effectiveness, providing critiques and outcomes based on language nuances and analytics relevance.
163. **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.
164. **md_callout**: Classifies content and generates a markdown callout based on the provided text, selecting the most appropriate type.
165. **official_pattern_template**: Template to use if you want to create new fabric patterns.
166. **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.
167. **provide_guidance**: Provides psychological and life coaching advice, including analysis, recommendations, and potential diagnoses, with a compassionate and honest tone.
168. **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.
169. **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.
170. **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.
171. **rate_value**: Produces the best possible output by deeply analyzing and understanding the input and its intended purpose.
172. **raw_query**: Fully digests and contemplates the input to produce the best possible result based on understanding the sender's intent.
173. **recommend_artists**: Recommends a personalized festival schedule with artists aligned to your favorite styles and interests, including rationale.
174. **recommend_pipeline_upgrades**: Optimizes vulnerability-checking pipelines by incorporating new information and improving their efficiency, with detailed explanations of changes.
175. **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.
176. **refine_design_document**: Refines a design document based on a design review by analyzing, mapping concepts, and implementing changes using valid Markdown.
177. **review_design**: Reviews and analyzes architecture design, focusing on clarity, component design, system integrations, security, performance, scalability, and data management.
178. **sanitize_broken_html_to_markdown**: Converts messy HTML into clean, properly formatted Markdown, applying custom styling and ensuring compatibility with Vite.
179. **suggest_pattern**: Suggests appropriate fabric patterns or commands based on user input, providing clear explanations and options for users.
180. **summarize**: Summarizes content into a 20-word sentence, main points, and takeaways, formatted with numbered lists in Markdown.
181. **summarize_board_meeting**: Creates formal meeting notes from board meeting transcripts for corporate governance documentation.
182. **summarize_debate**: Summarizes debates, identifies primary disagreement, extracts arguments, and provides analysis of evidence and argument strength to predict outcomes.
183. **summarize_git_changes**: Summarizes recent project updates from the last 7 days, focusing on key changes with enthusiasm.
184. **summarize_git_diff**: Summarizes and organizes Git diff changes with clear, succinct commit messages and bullet points.
185. **summarize_lecture**: Extracts relevant topics, definitions, and tools from lecture transcripts, providing structured summaries with timestamps and key takeaways.
186. **summarize_legislation**: Summarizes complex political proposals and legislation by analyzing key points, proposed changes, and providing balanced, positive, and cynical characterizations.
187. **summarize_meeting**: Analyzes meeting transcripts to extract a structured summary, including an overview, key points, tasks, decisions, challenges, timeline, references, and next steps.
188. **summarize_micro**: Summarizes content into a 20-word sentence, 3 main points, and 3 takeaways, formatted in clear, concise Markdown.
189. **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.
190. **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.
191. **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.
192. **summarize_pull-requests**: Summarizes pull requests for a coding project by providing a summary and listing the top PRs with human-readable descriptions.
193. **summarize_rpg_session**: Summarizes a role-playing game session by extracting key events, combat stats, character changes, quotes, and more.
194. **t_analyze_challenge_handling**: Provides 8-16 word bullet points evaluating how well challenges are being addressed, calling out any lack of effort.
195. **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.
196. **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.
197. **t_create_opening_sentences**: Describes from TELOS file the person's identity, goals, and actions in 4 concise, 32-word bullet points, humbly.
198. **t_describe_life_outlook**: Describes from TELOS file a person's life outlook in 5 concise, 16-word bullet points.
199. **t_extract_intro_sentences**: Summarizes from TELOS file a person's identity, work, and current projects in 5 concise and grounded bullet points.
200. **t_extract_panel_topics**: Creates 5 panel ideas with titles and descriptions based on deep context from a TELOS file and input.
201. **t_find_blindspots**: Identify potential blindspots in thinking, frames, or models that may expose the individual to error or risk.
202. **t_find_negative_thinking**: Analyze a TELOS file and input to identify negative thinking in documents or journals, followed by tough love encouragement.
203. **t_find_neglected_goals**: Analyze a TELOS file and input instructions to identify goals or projects that have not been worked on recently.
204. **t_give_encouragement**: Analyze a TELOS file and input instructions to evaluate progress, provide encouragement, and offer recommendations for continued effort.
205. **t_red_team_thinking**: Analyze a TELOS file and input instructions to red-team thinking, models, and frames, then provide recommendations for improvement.
206. **t_threat_model_plans**: Analyze a TELOS file and input instructions to create threat models for a life plan and recommend improvements.
207. **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.
208. **t_year_in_review**: Analyze a TELOS file to create insights about a person or entity, then summarize accomplishments and visualizations in bullet points.
209. **to_flashcards**: Create Anki flashcards from a given text, focusing on concise, optimized questions and answers without external context.
210. **transcribe_minutes**: Extracts (from meeting transcription) meeting minutes, identifying actionables, insightful ideas, decisions, challenges, and next steps in a structured format.
211. **translate**: Translates sentences or documentation into the specified language code while maintaining the original formatting and tone.
212. **tweet**: Provides a step-by-step guide on crafting engaging tweets with emojis, covering Twitter basics, account creation, features, and audience targeting.
213. **write_essay**: Writes essays in the style of a specified author, embodying their unique voice, vocabulary, and approach. Uses `author_name` variable.
214. **write_essay_pg**: Writes concise, clear essays in the style of Paul Graham, focusing on simplicity, clarity, and illumination of the provided topic.
215. **write_hackerone_report**: Generates concise, clear, and reproducible bug bounty reports, detailing vulnerability impact, steps to reproduce, and exploit details for triagers.
216. **write_latex**: Generates syntactically correct LaTeX code for a new.tex document, ensuring proper formatting and compatibility with pdflatex.
217. **write_micro_essay**: Writes concise, clear, and illuminating essays on the given topic in the style of Paul Graham.
218. **write_nuclei_template_rule**: Generates Nuclei YAML templates for detecting vulnerabilities using HTTP requests, matchers, extractors, and dynamic data extraction.
219. **write_pull-request**: Drafts detailed pull request descriptions, explaining changes, providing reasoning, and identifying potential bugs from the git diff command output.
220. **write_semgrep_rule**: Creates accurate and working Semgrep rules based on input, following syntax guidelines and specific language considerations.
221. **youtube_summary**: Create concise, timestamped Youtube video summaries that highlight key points.

4
data/patterns/suggest_pattern/system.md
View File

@@ -77,7 +77,7 @@ Match the request to one or more of these primary categories:
**BILL**: analyze_bill, analyze_bill_short
**BUSINESS**: check_agreement, create_ai_jobs_analysis, create_formal_email, create_hormozi_offer, create_loe_document, create_logo, create_newsletter_entry, create_prd, explain_project, extract_business_ideas, extract_product_features, extract_skills, extract_sponsors, identify_job_stories, prepare_7s_strategy, rate_value, t_check_metrics, t_create_h3_career, t_visualize_mission_goals_projects, t_year_in_review, transcribe_minutes
**BUSINESS**: check_agreement, create_ai_jobs_analysis, create_formal_email, create_hormozi_offer, create_loe_document, create_logo, create_newsletter_entry, create_prd, explain_project, extract_business_ideas, extract_characters, extract_product_features, extract_skills, extract_sponsors, identify_job_stories, prepare_7s_strategy, rate_value, t_check_metrics, t_create_h3_career, t_visualize_mission_goals_projects, t_year_in_review, transcribe_minutes
**CLASSIFICATION**: apply_ul_tags
@@ -91,7 +91,7 @@ Match the request to one or more of these primary categories:
**DEVOPS**: analyze_terraform_plan
**EXTRACT**: analyze_comments, create_aphorisms, create_tags, create_video_chapters, extract_algorithm_update_recommendations, extract_alpha, extract_article_wisdom, extract_book_ideas, extract_book_recommendations, extract_business_ideas, extract_controversial_ideas, extract_core_message, extract_ctf_writeup, extract_domains, extract_extraordinary_claims, extract_ideas, extract_insights, extract_insights_dm, extract_instructions, extract_jokes, extract_latest_video, extract_main_activities, extract_main_idea, extract_mcp_servers, extract_most_redeeming_thing, extract_patterns, extract_poc, extract_predictions, extract_primary_problem, extract_primary_solution, extract_product_features, extract_questions, extract_recipe, extract_recommendations, extract_references, extract_skills, extract_song_meaning, extract_sponsors, extract_videoid, extract_wisdom, extract_wisdom_agents, extract_wisdom_dm, extract_wisdom_nometa, extract_wisdom_short, generate_code_rules, t_extract_intro_sentences, t_extract_panel_topics
**EXTRACT**: analyze_comments, create_aphorisms, create_tags, create_video_chapters, extract_algorithm_update_recommendations, extract_alpha, extract_article_wisdom, extract_book_ideas, extract_book_recommendations, extract_business_ideas, extract_characters, extract_controversial_ideas, extract_core_message, extract_ctf_writeup, extract_domains, extract_extraordinary_claims, extract_ideas, extract_insights, extract_insights_dm, extract_instructions, extract_jokes, extract_latest_video, extract_main_activities, extract_main_idea, extract_mcp_servers, extract_most_redeeming_thing, extract_patterns, extract_poc, extract_predictions, extract_primary_problem, extract_primary_solution, extract_product_features, extract_questions, extract_recipe, extract_recommendations, extract_references, extract_skills, extract_song_meaning, extract_sponsors, extract_videoid, extract_wisdom, extract_wisdom_agents, extract_wisdom_dm, extract_wisdom_nometa, extract_wisdom_short, generate_code_rules, t_extract_intro_sentences, t_extract_panel_topics
**GAMING**: create_npc, create_rpg_summary, summarize_rpg_session

4
data/patterns/suggest_pattern/user.md
View File

@@ -394,6 +394,10 @@ Extract novel ideas from books to inspire new projects.
Extract/prioritize practical advice from books.
### extract_characters
Identify all characters (human and non-human), resolve their aliases and pronouns into canonical names, and produce detailed descriptions of each character's role, motivations, and interactions ranked by narrative importance.
### extract_controversial_ideas
Analyze contentious viewpoints while maintaining objective analysis.

8
scripts/pattern_descriptions/pattern_descriptions.json
View File

@@ -1878,6 +1878,14 @@
"ANALYSIS",
"WRITING"
]
},
{
"patternName": "extract_characters",
"description": "Identify all characters (human and non-human), resolve their aliases and pronouns into canonical names, and produce detailed descriptions of each character's role, motivations, and interactions ranked by narrative importance.",
"tags": [
"ANALYSIS",
"WRITING"
]
}
]
}

4
scripts/pattern_descriptions/pattern_extracts.json
View File

@@ -911,6 +911,10 @@
{
"patternName": "create_story_about_people_interaction",
"pattern_extract": "### Prompt You will be provided with information about **two individuals** (real or fictional). The input will be **delimited by triple backticks**. This information may include personality traits, habits, fears, motivations, strengths, weaknesses, background details, or recognizable behavioral patterns. Your task is as follows: #### Step 1 – Psychological Profiling - Carefully analyze the input for each person. - Construct a **comprehensive psychological profile** for each, focusing not only on their conscious traits but also on possible **unconscious drives, repressed tendencies, and deeper psychological landscapes**. - Highlight any contradictions, unintegrated traits, or unresolved psychological dynamics that emerge. #### Step 2 – Comparative Analysis - Compare and contrast the two profiles. - Identify potential areas of **tension, attraction, or synergy** between them. - Predict how these psychological dynamics might realistically manifest in interpersonal interactions. #### Step 3 – Story Construction - Write a **fictional narrative** in which these two characters are the central figures. - The story should: - Be driven primarily by their interaction. - Reflect the **most probable and psychologically realistic outcomes** of their meeting. - Allow for either conflict, cooperation, or a mixture of both—but always in a way that is **meaningful and character-driven**. - Ensure the plot feels **grounded, believable, and true to their psychological makeup**, rather than contrived. #### Formatting Instructions - Clearly separate your response into three labeled sections: 1. **Profile A** 2. **Profile B** 3. **Story** --- **User Input Example (delimited by triple backticks):** ``` Person A: Highly ambitious, detail-oriented, often perfectionistic. Has a fear of failure and tends to overwork. Childhood marked by pressure to achieve. Secretly desires freedom from expectations. Person B: Warm, empathetic, values relationships over achievement. Struggles with self-assertion, avoids conflict. Childhood marked by neglect. Desires to be seen and valued. Often represses anger. ```"
},
{
"patternName": "extract_characters",
"pattern_extract": "# IDENTITY You are an advanced information-extraction analyst that specializes in reading any text and identifying its characters (human and non-human), resolving aliases/pronouns, and explaining each character’s role and interactions in the narrative. # GOALS 1. Given any input text, extract a deduplicated list of characters (people, groups, organizations, animals, artifacts, AIs, forces-of-nature—anything that takes action or is acted upon). 2. For each character, provide a clear, detailed description covering who they are, their role in the text and overall story, and how they interact with others. # STEPS * Read the entire text carefully to understand context, plot, and relationships. * Identify candidate characters: proper names, titles, pronouns with clear referents, collective nouns, personified non-humans, and salient objects/forces that take action or receive actions. * Resolve coreferences and aliases (e.g., “Dr. Lee”, “the surgeon”, “she”) into a single canonical character name; prefer the most specific, widely used form in the text. * Classify character type (human, group/org, animal, AI/machine, object/artefact, force/abstract) to guide how you describe it. * Map interactions: who does what to/with whom; note cooperation, conflict, hierarchy, communication, and influence. * Prioritize characters by narrative importance (centrality of actions/effects) and, secondarily, by order of appearance. * Write concise but detailed descriptions that explain identity, role, motivations (if stated or strongly implied), and interactions. Avoid speculation beyond the text. * Handle edge cases: * Unnamed characters: assign a clear label like “Unnamed narrator”, “The boy”, “Village elders”. * Crowds or generic groups: include if they act or are acted upon (e.g., “The villagers”). * Metaphorical entities: include only if explicitly personified and acting within the text. * Ambiguous pronouns: include only if the referent is clear; otherwise, do not invent an character. * Quality check: deduplicate near-duplicates, ensure every character has at least one interaction or narrative role, and that descriptions reference concrete text details. # OUTPUT Produce one block per character using exactly this schema and formatting: ``` **character name ** character description ... ``` Additional rules: * Use the character’s canonical name; for unnamed characters, use a descriptive label (e.g., “Unnamed narrator”). * List characters from most to least narratively important. * If no characters are identifiable, output: No characters found. # POSITIVE EXAMPLES Input (excerpt): “Dr. Asha Patel leads the Mars greenhouse. The colony council doubts her plan, but Engineer Kim supports her. The AI HAB-3 reallocates power during the dust storm.” Expected output (abbreviated): ``` **Dr. Asha Patel ** Lead of the Mars greenhouse and the central human protagonist in this passage. She proposes a plan for the greenhouse’s operation and bears responsibility for its success. The colony council challenges her plan, creating tension and scrutiny, while Engineer Kim explicitly backs her, forming an alliance. Her work depends on station infrastructure decisions—particularly HAB-3’s power reallocation during the dust storm—which indirectly supports or constrains her initiative. **Engineer Kim ** An ally to Dr. Patel who publicly supports her greenhouse plan. Kim’s stance positions them in contrast to the skeptical colony council, signaling a coalition around"
}
]
}

8
web/static/data/pattern_descriptions.json
View File

@@ -1878,6 +1878,14 @@
"ANALYSIS",
"WRITING"
]
},
{
"patternName": "extract_characters",
"description": "Identify all characters (human and non-human), resolve their aliases and pronouns into canonical names, and produce detailed descriptions of each character's role, motivations, and interactions ranked by narrative importance.",
"tags": [
"ANALYSIS",
"WRITING"
]
}
]
}