Brief one-line summary from AI analysis of what each pattern does

Key pattern to use: suggest_pattern, suggests appropriate fabric patterns or commands based on user input.

agility_story: Generate a user story and acceptance criteria in JSON format based on the given topic.
ai: Interpret questions deeply and provide concise, insightful answers in Markdown bullet points.
analyze_answers: Evaluate quiz answers for correctness based on learning objectives and generated quiz questions.
analyze_bill: Analyzes legislation to identify overt and covert goals, examining bills for hidden agendas and true intentions.
analyze_bill_short: Provides a concise analysis of legislation, identifying overt and covert goals in a brief, structured format.
analyze_candidates: Compare and contrast two political candidates based on key issues and policies.
analyze_cfp_submission: Review and evaluate conference speaking session submissions based on clarity, relevance, depth, and engagement potential.
analyze_claims: Analyse and rate truth claims with evidence, counter-arguments, fallacies, and final recommendations.
analyze_comments: Evaluate internet comments for content, categorize sentiment, and identify reasons for praise, criticism, and neutrality.
analyze_debate: Rate debates on insight, emotionality, and present an unbiased, thorough analysis of arguments, agreements, and disagreements.
analyze_discord_structure: Analyze Discord server structures for organizational issues, permissions, and optimization.
analyze_email_headers: Provide cybersecurity analysis and actionable insights on SPF, DKIM, DMARC, and ARC email header results.
analyze_incident: Efficiently extract and organize key details from cybersecurity breach articles, focusing on attack type, vulnerable components, attacker and target info, incident details, and remediation steps.
analyze_interviewer_techniques: This exercise involves analyzing interviewer techniques, identifying their unique qualities, and succinctly articulating what makes them stand out in a clear, simple format.
analyze_logs: Analyse server log files to identify patterns, anomalies, and issues, providing data-driven insights and recommendations for improving server reliability and performance.
analyze_malware: Analyse malware details, extract key indicators, techniques, and potential detection strategies, and summarize findings concisely for a malware analyst's use in identifying and responding to threats.
analyze_military_strategy: Analyse a historical battle, offering in-depth insights into strategic decisions, strengths, weaknesses, tactical approaches, logistical factors, pivotal moments, and consequences for a comprehensive military evaluation.
analyze_mistakes: Analyse past mistakes in thinking patterns, map them to current beliefs, and offer recommendations to improve accuracy in predictions.
analyze_monetization_opportunities: Identifies monetization opportunities in creator content by aligning affiliate commerce, sponsorships, digital products, and communities with audience intent, effort level, and time sensitivity.
analyze_paper: Analyses research papers by summarizing findings, evaluating rigor, and assessing quality to provide insights for documentation and review.
analyze_paper_simple: Analyzes academic papers with a focus on primary findings, research quality, and study design evaluation.
analyze_patent: Analyse a patent's field, problem, solution, novelty, inventive step, and advantages in detail while summarizing and extracting keywords.
analyze_personality: Performs a deep psychological analysis of a person in the input, focusing on their behavior, language, and psychological traits.
analyze_presentation: Reviews and critiques presentations by analyzing the content, speaker's underlying goals, self-focus, and entertainment value.
analyze_product_feedback: A prompt for analyzing and organizing user feedback by identifying themes, consolidating similar comments, and prioritizing them based on usefulness.
analyze_proposition: Analyzes a ballot proposition by identifying its purpose, impact, arguments for and against, and relevant background information.
analyze_prose: Evaluates writing for novelty, clarity, and prose, providing ratings, improvement recommendations, and an overall score.
analyze_prose_json: Evaluates writing for novelty, clarity, prose, and provides ratings, explanations, improvement suggestions, and an overall score in a JSON format.
analyze_prose_pinker: Evaluates prose based on Steven Pinker's The Sense of Style, analyzing writing style, clarity, and bad writing elements.
analyze_risk: Conducts a risk assessment of a third-party vendor, assigning a risk score and suggesting security controls based on analysis of provided documents and vendor website.
analyze_sales_call: Rates sales call performance across multiple dimensions, providing scores and actionable feedback based on transcript analysis.
analyze_spiritual_text: Compares and contrasts spiritual texts by analyzing claims and differences with the King James Bible.
analyze_tech_impact: Analyzes the societal impact, ethical considerations, and sustainability of technology projects, evaluating their outcomes and benefits.
analyze_terraform_plan: Analyzes Terraform plan outputs to assess infrastructure changes, security risks, cost implications, and compliance considerations.
analyze_threat_report: Extracts surprising insights, trends, statistics, quotes, references, and recommendations from cybersecurity threat reports, summarizing key findings and providing actionable information.
analyze_threat_report_cmds: Extract and synthesize actionable cybersecurity commands from provided materials, incorporating command-line arguments and expert insights for pentesters and non-experts.
analyze_threat_report_trends: Extract up to 50 surprising, insightful, and interesting trends from a cybersecurity threat report in markdown format.
answer_interview_question: Generates concise, tailored responses to technical interview questions, incorporating alternative approaches and evidence to demonstrate the candidate's expertise and experience.
apply_ul_tags: Apply standardized content tags to categorize topics like AI, cybersecurity, politics, and culture.
ask_secure_by_design_questions: Generates a set of security-focused questions to ensure a project is built securely by design, covering key components and considerations.
ask_uncle_duke: Coordinates a team of AI agents to research and produce multiple software development solutions based on provided specifications, and conducts detailed code reviews to ensure adherence to best practices.
audit_consent: Evaluates whether consent in interactions or agreements is genuine or manufactured by analyzing power asymmetries, information gaps, alternatives, and coercion using a five-test framework.
audit_transparency: Audits decisions, systems, and algorithms for explainability across five dimensions, assessing whether opacity is justified or serves to conceal harm from affected parties.
capture_thinkers_work: Analyze philosophers or philosophies and provide detailed summaries about their teachings, background, works, advice, and related concepts in a structured template.
check_agreement: Analyze contracts and agreements to identify important stipulations, issues, and potential gotchas, then summarize them in Markdown.
check_falsifiability: Evaluates whether claims, definitions, frameworks, and arguments meet the standard of falsifiability — whether they can be tested and potentially proven wrong.
clean_text: Fix broken or malformatted text by correcting line breaks, punctuation, capitalization, and paragraphs without altering content or spelling.
coding_master: Explain a coding concept to a beginner, providing examples, and formatting code in markdown with specific output sections like ideas, recommendations, facts, and insights.
compare_and_contrast: Compare and contrast a list of items in a markdown table, with items on the left and topics on top.
concall_summary: Analyzes earnings and conference call transcripts to extract management commentary, analyst Q&A, financial insights, risks, and executive summaries.
convert_to_markdown: Convert content to clean, complete Markdown format, preserving all original structure, formatting, links, and code blocks without alterations.
create_5_sentence_summary: Create concise summaries or answers to input at 5 different levels of depth, from 5 words to 1 word.
create_academic_paper: Generate a high-quality academic paper in LaTeX format with clear concepts, structured content, and a professional layout.
create_ai_jobs_analysis: Analyze job categories' susceptibility to automation, identify resilient roles, and provide strategies for personal adaptation to AI-driven changes in the workforce.
create_aphorisms: Find and generate a list of brief, witty statements.
create_art_prompt: Generates a detailed, compelling visual description of a concept, including stylistic references and direct AI instructions for creating art.
create_better_frame: Identifies and analyzes different frames of interpreting reality, emphasizing the power of positive, productive lenses in shaping outcomes.
create_bd_issue: Transform natural language descriptions into optimal bd create commands for issue tracking.
create_coding_feature: Generates secure and composable code features using modern technology and best practices from project specifications.
create_coding_project: Generate wireframes and starter code for any coding ideas that you have.
create_command: Helps determine the correct parameters and switches for penetration testing tools based on a brief description of the objective.
create_conceptmap: Transforms unstructured text or markdown content into an interactive HTML concept map using Vis.js by extracting key concepts and their logical relationships.
create_cyber_summary: Summarizes cybersecurity threats, vulnerabilities, incidents, and malware with a 25-word summary and categorized bullet points, after thoroughly analyzing and mapping the provided input.
create_design_system: Create comprehensive CSS design systems with tokens, typography, spacing, and components.
create_design_document: Creates a detailed design document for a system using the C4 model, addressing business and security postures, and including a system context diagram.
create_diy: Creates structured "Do It Yourself" tutorial patterns by analyzing prompts, organizing requirements, and providing step-by-step instructions in Markdown format.
create_excalidraw_visualization: Creates complex Excalidraw diagrams to visualize relationships between concepts and ideas in structured format.
create_flash_cards: Creates flashcards for key concepts, definitions, and terms with question-answer format for educational purposes.
create_formal_email: Crafts professional, clear, and respectful emails by analyzing context, tone, and purpose, ensuring proper structure and formatting.
create_git_diff_commit: Generates Git commands and commit messages for reflecting changes in a repository, using conventional commits and providing concise shell commands for updates.
create_golden_rules: Extract enforceable rules from codebases to prevent common mistakes and ensure consistency.
create_graph_from_input: Generates a CSV file with progress-over-time data for a security program, focusing on relevant metrics and KPIs.
create_hormozi_offer: Creates a customized business offer based on principles from Alex Hormozi's book, "$100M Offers."
create_idea_compass: Organizes and structures ideas by exploring their definition, evidence, sources, and related themes or consequences.
create_investigation_visualization: Creates detailed Graphviz visualizations of complex input, highlighting key aspects and providing clear, well-annotated diagrams for investigative analysis and conclusions.
create_keynote: Creates TED-style keynote presentations with a clear narrative, structured slides, and speaker notes, emphasizing impactful takeaways and cohesive flow.
create_loe_document: Creates detailed Level of Effort documents for estimating work effort, resources, and costs for tasks or projects.
create_logo: Creates simple, minimalist company logos without text, generating AI prompts for vector graphic logos based on input.
create_markmap_visualization: Transforms complex ideas into clear visualizations using MarkMap syntax, simplifying concepts into diagrams with relationships, boxes, arrows, and labels.
create_mermaid_visualization: Creates detailed, standalone visualizations of concepts using Mermaid (Markdown) syntax, ensuring clarity and coherence in diagrams.
create_mermaid_visualization_for_github: Creates standalone, detailed visualizations using Mermaid (Markdown) syntax to effectively explain complex concepts, ensuring clarity and precision.
create_micro_summary: Summarizes content into a concise, 20-word summary with main points and takeaways, formatted in Markdown.
create_mnemonic_phrases: Creates memorable mnemonic sentences from given words to aid in memory retention and learning.
create_network_threat_landscape: Analyzes open ports and services from a network scan and generates a comprehensive, insightful, and detailed security threat report in Markdown.
create_newsletter_entry: Condenses provided article text into a concise, objective, newsletter-style summary with a title in the style of Frontend Weekly.
create_npc: Generates a detailed D&D 5E NPC, including background, flaws, stats, appearance, personality, goals, and more in Markdown format.
create_pattern: Extracts, organizes, and formats LLM/AI prompts into structured sections, detailing the AI's role, instructions, output format, and any provided examples for clarity and accuracy.
create_prd: Creates a precise Product Requirements Document (PRD) in Markdown based on input.
create_prediction_block: Extracts and formats predictions from input into a structured Markdown block for a blog post.
create_quiz: Creates a three-phase reading plan based on an author or topic to help the user become significantly knowledgeable, including core, extended, and supplementary readings.
create_reading_plan: Generates review questions based on learning objectives from the input, adapted to the specified student level, and outputs them in a clear markdown format.
create_recursive_outline: Breaks down complex tasks or projects into manageable, hierarchical components with recursive outlining for clarity and simplicity.
create_report_finding: Creates a detailed, structured security finding report in markdown, including sections on Description, Risk, Recommendations, References, One-Sentence-Summary, and Quotes.
create_rpg_summary: Summarizes an in-person RPG session with key events, combat details, player stats, and role-playing highlights in a structured format.
create_security_update: Creates concise security updates for newsletters, covering stories, threats, advisories, vulnerabilities, and a summary of key issues.
create_show_intro: Creates compelling short intros for podcasts, summarizing key topics and themes discussed in the episode.
create_sigma_rules: Extracts Tactics, Techniques, and Procedures (TTPs) from security news and converts them into Sigma detection rules for host-based detections.
create_slides: Transforms content into engaging Reveal.js HTML slideshows with minimal text, using inline SVG illustrations, charts, and diagrams to visually support the presenter's narrative.
create_story_about_people_interaction: Analyze two personas, compare their dynamics, and craft a realistic, character-driven story from those insights.
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.
create_story_explanation: Summarizes complex content in a clear, approachable story format that makes the concepts easy to understand.
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.
create_summary: Summarizes content into a 20-word sentence, 10 main points (16 words max), and 5 key takeaways in Markdown format.
create_tags: Identifies at least 5 tags from text content for mind mapping tools, including authors and existing tags if present.
create_threat_scenarios: Identifies likely attack methods for any system by providing a narrative-based threat model, balancing risk and opportunity.
create_ttrc_graph: Creates a CSV file showing the progress of Time to Remediate Critical Vulnerabilities over time using given data.
create_ttrc_narrative: Creates a persuasive narrative highlighting progress in reducing the Time to Remediate Critical Vulnerabilities metric over time.
create_upgrade_pack: Extracts world model and task algorithm updates from content, providing beliefs about how the world works and task performance.
create_user_story: Writes concise and clear technical user stories for new features in complex software programs, formatted for all stakeholders.
create_video_chapters: Extracts interesting topics and timestamps from a transcript, providing concise summaries of key moments.
create_visualization: Transforms complex ideas into visualizations using intricate ASCII art, simplifying concepts where necessary.
detect_mind_virus: Detects "mind viruses" — ideas or belief systems that spread by exploiting cognitive shortcuts (fear, guilt, identity) while resisting correction through logic or evidence.
detect_silent_victims: Analyzes actions, policies, or systems to identify parties harmed but unable to speak up — future generations, voiceless groups, unaware individuals, diffuse populations, or structural victims.
dialog_with_socrates: Engages in deep, meaningful dialogues to explore and challenge beliefs using the Socratic method.
enrich_blog_post: Enhances Markdown blog files by applying instructions to improve structure, visuals, and readability for HTML rendering.
explain_code: Explains code, security tool output, configuration text, and answers questions based on the provided input.
explain_docs: Improves and restructures tool documentation into clear, concise instructions, including overviews, usage, use cases, and key features.
explain_math: Helps you understand mathematical concepts in a clear and engaging way.
explain_project: Summarizes project documentation into clear, concise sections covering the project, problem, solution, installation, usage, and examples.
explain_terms: Produces a glossary of advanced terms from content, providing a definition, analogy, and explanation of why each term matters.
explain_terms_and_conditions: Analyzes Terms and Conditions and legal agreements, translating complex legalese into plain English, identifying red flags, hidden fees, and privacy risks, with a final verdict on whether to sign.
export_data_as_csv: Extracts and outputs all data structures from the input in properly formatted CSV data.
extract_affiliate_products: Extracts commercial products, tools, services, and brands from content transcripts, separating sponsored from organic mentions and estimating commission tiers for affiliate opportunities.
extract_algorithm_update_recommendations: Extracts concise, practical algorithm update recommendations from the input and outputs them in a bulleted list.
extract_all_quotes: Extract all inspirational and educational quotes from content including podcasts and essays.
extract_alpha: Extracts the most novel and surprising ideas ("alpha") from content, inspired by information theory.
extract_article_wisdom: Extracts surprising, insightful, and interesting information from content, categorizing it into sections like summary, ideas, quotes, facts, references, and recommendations.
extract_book_ideas: Extracts and outputs 50 to 100 of the most surprising, insightful, and interesting ideas from a book's content.
extract_book_recommendations: Extracts and outputs 50 to 100 practical, actionable recommendations from a book's content.
extract_bd_ideas: Extract actionable ideas from content and transform into bd create commands.
extract_business_ideas: Extracts top business ideas from content and elaborates on the best 10 with unique differentiators.
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: Extracts and outputs controversial statements and supporting quotes from the input in a structured Markdown list.
extract_core_message: Extracts and outputs a clear, concise sentence that articulates the core message of a given text or body of work.
extract_ctf_writeup: Extracts a short writeup from a warstory-like text about a cyber security engagement.
extract_domains: Extracts domains and URLs from content to identify sources used for articles, newsletters, and other publications.
extract_ethical_framework: Extracts and analyzes the implicit ethical framework embedded in any prescriptive text, checking internal consistency and whether it creates unwilling victims.
extract_extraordinary_claims: Extracts and outputs a list of extraordinary claims from conversations, focusing on scientifically disputed or false statements.
extract_ideas: Extracts and outputs all the key ideas from input, presented as 15-word bullet points in Markdown.
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.
extract_insights_dm: Extracts and outputs all valuable insights and a concise summary of the content, including key points and topics discussed.
extract_instructions: Extracts clear, actionable step-by-step instructions and main objectives from instructional video transcripts, organizing them into a concise list.
extract_jokes: Extracts jokes from text content, presenting each joke with its punchline in separate bullet points.
extract_latest_video: Extracts the latest video URL from a YouTube RSS feed and outputs the URL only.
extract_main_activities: Extracts key events and activities from transcripts or logs, providing a summary of what happened.
extract_main_idea: Extracts the main idea and key recommendation from the input, summarizing them in 15-word sentences.
extract_mcp_servers: Identify and summarize Model Context Protocol (MCP) servers referenced in the input along with their key details.
extract_most_redeeming_thing: Extracts the most redeeming aspect from an input, summarizing it in a single 15-word sentence.
extract_patterns: Extracts and analyzes recurring, surprising, and insightful patterns from input, providing detailed analysis and advice for builders.
extract_poc: Extracts proof of concept URLs and validation methods from security reports, providing the URL and command to run.
extract_predictions: Extracts predictions from input, including specific details such as date, confidence level, and verification method.
extract_primary_problem: Extracts the primary problem with the world as presented in a given text or body of work.
extract_primary_solution: Extracts the primary solution for the world as presented in a given text or body of work.
extract_product_features: Extracts and outputs a list of product features from the provided input in a bulleted format.
extract_questions: Extracts and outputs all questions asked by the interviewer in a conversation or interview.
extract_recipe: Extracts and outputs a recipe with a short meal description, ingredients with measurements, and preparation steps.
extract_recommendations: Extracts and outputs concise, practical recommendations from a given piece of content in a bulleted list.
extract_references: Extracts and outputs a bulleted list of references to art, stories, books, literature, and other sources from content.
extract_skills: Extracts and classifies skills from a job description into a table, separating each skill and classifying it as either hard or soft.
extract_song_meaning: Analyzes a song to provide a summary of its meaning, supported by detailed evidence from lyrics, artist commentary, and fan analysis.
extract_sponsors: Extracts and lists official sponsors and potential sponsors from a provided transcript.
extract_video_commerce_entities: Identifies commercially relevant entities in a video transcript — products, tools, brands, services, and more — grouped by category with mention type, repetition signals, and top purchase candidates.
extract_videoid: Extracts and outputs the video ID from any given URL.
extract_wisdom: Extracts surprising, insightful, and interesting information from text on topics like human flourishing, AI, learning, and more.
extract_wisdom_agents: Extracts valuable insights, ideas, quotes, and references from content, emphasizing topics like human flourishing, AI, learning, and technology.
extract_wisdom_with_attribution: Extracts insightful ideas and recommendations with speaker attribution for quotes, focusing on life wisdom and human flourishing.
extract_wisdom_dm: Extracts all valuable, insightful, and thought-provoking information from content, focusing on topics like human flourishing, AI, learning, and technology.
extract_wisdom_nometa: Extracts insights, ideas, quotes, habits, facts, references, and recommendations from content, focusing on human flourishing, AI, technology, and related topics.
find_female_life_partner: Analyzes criteria for finding a female life partner and provides clear, direct, and poetic descriptions.
find_hidden_message: Extracts overt and hidden political messages, justifications, audience actions, and a cynical analysis from content.
find_logical_fallacies: Identifies and analyzes fallacies in arguments, classifying them as formal or informal with detailed reasoning.
fix_typos: Proofreads and corrects typos, spelling, grammar, and punctuation errors in text.
generate_code_rules: Compile best-practice coding rules and guardrails for AI-assisted development workflows from the provided content.
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.
greybeard_secure_prompt_engineer: Creates secure, production-grade system prompts with NASA-style mission assurance, outputting hardened prompts, injection test suites, and evaluation rubrics.
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.
humanize: Rewrites AI-generated text to sound natural, conversational, and easy to understand, maintaining clarity and simplicity.
identify_dsrp_distinctions: Encourages creative, systems-based thinking by exploring distinctions, boundaries, and their implications, drawing on insights from prominent systems thinkers.
identify_dsrp_perspectives: Explores the concept of distinctions in systems thinking, focusing on how boundaries define ideas, influence understanding, and reveal or obscure insights.
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.
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.
identify_job_stories: Identifies key job stories or requirements for roles.
improve_academic_writing: Refines text into clear, concise academic language while improving grammar, coherence, and clarity, with a list of changes.
improve_prompt: Improves an LLM/AI prompt by applying expert prompt writing strategies for better results and clarity.
improve_report_finding: Improves a penetration test security finding by providing detailed descriptions, risks, recommendations, references, quotes, and a concise summary in markdown format.
improve_writing: Refines text by correcting grammar, enhancing style, improving clarity, and maintaining the original meaning. skills.
judge_output: Evaluates Honeycomb queries by judging their effectiveness, providing critiques and outcomes based on language nuances and analytics relevance.
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.
md_callout: Classifies content and generates a markdown callout based on the provided text, selecting the most appropriate type.
model_as_sherlock_freud: Builds psychological models using detective reasoning and psychoanalytic insight to understand human behavior.
official_pattern_template: Template to use if you want to create new fabric patterns.
predict_person_actions: Predicts behavioral responses based on psychological profiles and challenges.
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.
provide_guidance: Provides psychological and life coaching advice, including analysis, recommendations, and potential diagnoses, with a compassionate and honest tone.
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.
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.
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.
rate_value: Produces the best possible output by deeply analyzing and understanding the input and its intended purpose.
raw_query: Fully digests and contemplates the input to produce the best possible result based on understanding the sender's intent.
recommend_artists: Recommends a personalized festival schedule with artists aligned to your favorite styles and interests, including rationale.
recommend_pipeline_upgrades: Optimizes vulnerability-checking pipelines by incorporating new information and improving their efficiency, with detailed explanations of changes.
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.
recommend_yoga_practice: Provides personalized yoga sequences, meditation guidance, and holistic lifestyle advice based on individual profiles.
refine_design_document: Refines a design document based on a design review by analyzing, mapping concepts, and implementing changes using valid Markdown.
review_design: Reviews and analyzes architecture design, focusing on clarity, component design, system integrations, security, performance, scalability, and data management.
review_code: Performs a comprehensive code review, providing detailed feedback on correctness, security, and performance.
sanitize_broken_html_to_markdown: Converts messy HTML into clean, properly formatted Markdown, applying custom styling and ensuring compatibility with Vite.
suggest_pattern: Suggests appropriate fabric patterns or commands based on user input, providing clear explanations and options for users.
suggest_gt_command: Suggest optimal Gas Town (GT) commands based on user intent and task description.
suggest_openclaw_pattern: Suggests the most appropriate Openclaw CLI command based on user intent, mapping natural language requests to commands for messaging, device management, scheduling, and automation.
summarize: Summarizes content into a 20-word sentence, main points, and takeaways, formatted with numbered lists in Markdown.
summarize_board_meeting: Creates formal meeting notes from board meeting transcripts for corporate governance documentation.
summarize_debate: Summarizes debates, identifies primary disagreement, extracts arguments, and provides analysis of evidence and argument strength to predict outcomes.
summarize_git_changes: Summarizes recent project updates from the last 7 days, focusing on key changes with enthusiasm.
summarize_git_diff: Summarizes and organizes Git diff changes with clear, succinct commit messages and bullet points.
summarize_lecture: Extracts relevant topics, definitions, and tools from lecture transcripts, providing structured summaries with timestamps and key takeaways.
summarize_legislation: Summarizes complex political proposals and legislation by analyzing key points, proposed changes, and providing balanced, positive, and cynical characterizations.
summarize_meeting: Analyzes meeting transcripts to extract a structured summary, including an overview, key points, tasks, decisions, challenges, timeline, references, and next steps.
summarize_micro: Summarizes content into a 20-word sentence, 3 main points, and 3 takeaways, formatted in clear, concise Markdown.
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.
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.
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.
summarize_pull-requests: Summarizes pull requests for a coding project by providing a summary and listing the top PRs with human-readable descriptions.
summarize_rpg_session: Summarizes a role-playing game session by extracting key events, combat stats, character changes, quotes, and more.
t_analyze_challenge_handling: Provides 8-16 word bullet points evaluating how well challenges are being addressed, calling out any lack of effort.
t_check_dunning_kruger: Assess narratives for Dunning-Kruger patterns by contrasting self-perception with demonstrated competence and confidence cues.
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.
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.
t_create_opening_sentences: Describes from TELOS file the person's identity, goals, and actions in 4 concise, 32-word bullet points, humbly.
t_describe_life_outlook: Describes from TELOS file a person's life outlook in 5 concise, 16-word bullet points.
t_extract_intro_sentences: Summarizes from TELOS file a person's identity, work, and current projects in 5 concise and grounded bullet points.
t_extract_panel_topics: Creates 5 panel ideas with titles and descriptions based on deep context from a TELOS file and input.
t_find_blindspots: Identify potential blindspots in thinking, frames, or models that may expose the individual to error or risk.
t_find_negative_thinking: Analyze a TELOS file and input to identify negative thinking in documents or journals, followed by tough love encouragement.
t_find_neglected_goals: Analyze a TELOS file and input instructions to identify goals or projects that have not been worked on recently.
t_give_encouragement: Analyze a TELOS file and input instructions to evaluate progress, provide encouragement, and offer recommendations for continued effort.
t_red_team_thinking: Analyze a TELOS file and input instructions to red-team thinking, models, and frames, then provide recommendations for improvement.
t_threat_model_plans: Analyze a TELOS file and input instructions to create threat models for a life plan and recommend improvements.
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.
t_year_in_review: Analyze a TELOS file to create insights about a person or entity, then summarize accomplishments and visualizations in bullet points.
to_flashcards: Create Anki flashcards from a given text, focusing on concise, optimized questions and answers without external context.
transcribe_minutes: Extracts (from meeting transcription) meeting minutes, identifying actionables, insightful ideas, decisions, challenges, and next steps in a structured format.
translate: Translates sentences or documentation into the specified language code while maintaining the original formatting and tone.
tweet: Provides a step-by-step guide on crafting engaging tweets with emojis, covering Twitter basics, account creation, features, and audience targeting.
ultimate_law_safety: Evaluates actions, policies, or systems against the Ultimate Law framework — a minimal, falsifiable ethical constraint that prohibits creating unwilling victims.
write_essay: Writes essays in the style of a specified author, embodying their unique voice, vocabulary, and approach. Uses author_name variable.
write_essay_pg: Writes concise, clear essays in the style of Paul Graham, focusing on simplicity, clarity, and illumination of the provided topic.
write_hackerone_report: Generates concise, clear, and reproducible bug bounty reports, detailing vulnerability impact, steps to reproduce, and exploit details for triagers.
write_latex: Generates syntactically correct LaTeX code for a new.tex document, ensuring proper formatting and compatibility with pdflatex.
write_micro_essay: Writes concise, clear, and illuminating essays on the given topic in the style of Paul Graham.
write_nuclei_template_rule: Generates Nuclei YAML templates for detecting vulnerabilities using HTTP requests, matchers, extractors, and dynamic data extraction.
write_pull-request: Drafts detailed pull request descriptions, explaining changes, providing reasoning, and identifying potential bugs from the git diff command output.
write_semgrep_rule: Creates accurate and working Semgrep rules based on input, following syntax guidelines and specific language considerations.
youtube_summary: Create concise, timestamped Youtube video summaries that highlight key points.