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fabric

Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.

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2025년 10월 25일 00:45
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SKILL.md
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name
fabric
description
Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.
# Fabric Skill ## Setup Check - Fabric Repository **IMPORTANT: Before using this skill, verify the Fabric repository is available:** ```bash # Check if Fabric repo exists if [ ! -d "$HOME/.claude/skills/fabric/fabric-repo" ]; then echo "Fabric repository not found. Cloning..." cd "$HOME/.claude/skills/fabric" git clone https://github.com/danielmiessler/fabric.git fabric-repo echo "Fabric repository cloned successfully." else echo "Fabric repository found at $HOME/.claude/skills/fabric/fabric-repo" fi ``` **If the repo doesn't exist, clone it immediately before proceeding with any pattern selection.** ## When to Activate This Skill **Primary Use Cases:** - "Create a threat model for..." - "Summarize this article/video/paper..." - "Extract wisdom/insights from..." - "Analyze this [code/malware/claims/debate]..." - "Improve my writing/code/prompt..." - "Create a [visualization/summary/report]..." - "Rate/review/judge this content..." **The Goal:** Select the RIGHT pattern from 242+ available patterns based on what you're trying to accomplish. ## 🎯 Pattern Selection Strategy When a user requests Fabric processing, follow this decision tree: ### 1. Identify Intent Category **Threat Modeling & Security:** - Threat model → `create_threat_model` or `create_stride_threat_model` - Threat scenarios → `create_threat_scenarios` - Security update → `create_security_update` - Security rules → `create_sigma_rules`, `write_nuclei_template_rule`, `write_semgrep_rule` - Threat analysis → `analyze_threat_report`, `analyze_threat_report_trends` **Summarization:** - General summary → `summarize` - 5-sentence summary → `create_5_sentence_summary` - Micro summary → `create_micro_summary` or `summarize_micro` - Meeting → `summarize_meeting` - Paper/research → `summarize_paper` - Video/YouTube → `youtube_summary` - Newsletter → `summarize_newsletter` - Code changes → `summarize_git_changes` or `summarize_git_diff` **Wisdom Extraction:** - General wisdom → `extract_wisdom` - Article wisdom → `extract_article_wisdom` - Book ideas → `extract_book_ideas` - Insights → `extract_insights` or `extract_insights_dm` - Main idea → `extract_main_idea` - Recommendations → `extract_recommendations` - Controversial ideas → `extract_controversial_ideas` **Analysis:** - Malware → `analyze_malware` - Code → `analyze_code` or `review_code` - Claims → `analyze_claims` - Debate → `analyze_debate` - Logs → `analyze_logs` - Paper → `analyze_paper` - Threat report → `analyze_threat_report` - Product feedback → `analyze_product_feedback` - Sales call → `analyze_sales_call` **Content Creation:** - PRD → `create_prd` - Design document → `create_design_document` - User story → `create_user_story` - Visualization → `create_visualization`, `create_mermaid_visualization`, `create_markmap_visualization` - Essay → `write_essay` - Report finding → `create_report_finding` - Newsletter entry → `create_newsletter_entry` **Improvement:** - Writing → `improve_writing` - Academic writing → `improve_academic_writing` - Prompt → `improve_prompt` - Report finding → `improve_report_finding` - Code → `review_code` **Rating/Evaluation:** - AI response → `rate_ai_response` - Content quality → `rate_content` - Value assessment → `rate_value` - General judgment → `judge_output` ### 2. Execute Pattern ```bash # Basic format fabric [input] -p [selected_pattern] # From URL fabric -u "URL" -p [pattern] # From YouTube fabric -y "YOUTUBE_URL" -p [pattern] # From file cat file.txt | fabric -p [pattern] # Direct text fabric "your text here" -p [pattern] ``` ## 📚 Pattern Categories (242 Total) ### Threat Modeling & Security (15 patterns) - `create_threat_model` - General threat modeling - `create_stride_threat_model` - STRIDE methodology - `create_threat_scenarios` - Threat scenario generation - `create_security_update` - Security update documentation - `create_sigma_rules` - SIGMA detection rules - `write_nuclei_template_rule` - Nuclei scanner templates - `write_semgrep_rule` - Semgrep static analysis rules - `analyze_threat_report` - Threat report analysis - `analyze_threat_report_cmds` - Extract commands from threat reports - `analyze_threat_report_trends` - Identify threat trends - `t_threat_model_plans` - Threat model for plans - `ask_secure_by_design_questions` - Secure by design questions - `create_network_threat_landscape` - Network threat landscape - `analyze_incident` - Incident analysis - `analyze_risk` - Risk analysis ### Summarization (20 patterns) - `summarize` - General summarization - `create_5_sentence_summary` - Ultra-concise 5-line summary - `create_micro_summary` - Micro summary - `create_summary` - Detailed summary - `summarize_micro` - Micro summarization - `summarize_meeting` - Meeting notes summary - `summarize_paper` - Academic paper summary - `summarize_lecture` - Lecture summary - `summarize_newsletter` - Newsletter summary - `summarize_debate` - Debate summary - `summarize_legislation` - Legislation summary - `summarize_rpg_session` - RPG session summary - `summarize_board_meeting` - Board meeting summary - `summarize_git_changes` - Git changes summary - `summarize_git_diff` - Git diff summary - `summarize_pull-requests` - PR summary - `summarize_prompt` - Prompt summary - `youtube_summary` - YouTube video summary - `create_ul_summary` - Unsupervised Learning summary - `create_cyber_summary` - Cybersecurity summary ### Extraction (30+ patterns) - `extract_wisdom` - General wisdom extraction - `extract_article_wisdom` - Article-specific wisdom - `extract_book_ideas` - Book ideas - `extract_insights` - General insights - `extract_insights_dm` - Daniel Miessler style insights - `extract_main_idea` - Core message - `extract_recommendations` - Recommendations - `extract_ideas` - Ideas from content - `extract_questions` - Questions raised - `extract_predictions` - Predictions made - `extract_controversial_ideas` - Controversial points - `extract_business_ideas` - Business opportunities - `extract_skills` - Skills mentioned - `extract_patterns` - Patterns identified - `extract_sponsors` - Sponsor mentions - `extract_references` - References cited - `extract_instructions` - Instructions from content - `extract_jokes` - Humor extraction - `extract_primary_problem` - Main problem - `extract_primary_solution` - Main solution - `extract_product_features` - Product features - `extract_core_message` - Core message - `extract_algorithm_update_recommendations` - Algorithm recommendations - `extract_extraordinary_claims` - Extraordinary claims - `extract_most_redeeming_thing` - Most valuable aspect ### Analysis (35+ patterns) - `analyze_claims` - Claim analysis - `analyze_malware` - Malware analysis - `analyze_code` - Code analysis - `analyze_paper` - Paper analysis - `analyze_logs` - Log analysis - `analyze_debate` - Debate analysis - `analyze_incident` - Incident analysis - `analyze_comments` - Comment analysis - `analyze_answers` - Answer analysis - `analyze_email_headers` - Email header analysis - `analyze_military_strategy` - Military strategy - `analyze_mistakes` - Mistake analysis - `analyze_personality` - Personality analysis - `analyze_presentation` - Presentation analysis - `analyze_product_feedback` - Product feedback - `analyze_proposition` - Proposition analysis - `analyze_prose` - Prose analysis - `analyze_risk` - Risk analysis - `analyze_sales_call` - Sales call analysis - `analyze_spiritual_text` - Spiritual text analysis - `analyze_tech_impact` - Tech impact analysis - `analyze_threat_report` - Threat report analysis - `analyze_bill` - Legislation analysis - `analyze_candidates` - Candidate analysis - `analyze_cfp_submission` - CFP submission analysis - `analyze_terraform_plan` - Terraform plan analysis - `analyze_interviewer_techniques` - Interviewer technique analysis ### Creation (50+ patterns) - `create_prd` - Product Requirements Document - `create_design_document` - Design documentation - `create_user_story` - User stories - `create_coding_project` - Coding project - `create_coding_feature` - Code features - `create_mermaid_visualization` - Mermaid diagrams - `create_markmap_visualization` - Markmap mindmaps - `create_visualization` - General visualizations - `create_threat_model` - Threat models - `create_stride_threat_model` - STRIDE threat models - `create_threat_scenarios` - Threat scenarios - `create_report_finding` - Report findings - `create_newsletter_entry` - Newsletter content - `create_keynote` - Keynote presentations - `create_academic_paper` - Academic papers - `create_flash_cards` - Study flashcards - `create_quiz` - Quizzes - `create_graph_from_input` - Graphs - `create_tags` - Content tags - `create_art_prompt` - Art generation prompts - `create_command` - CLI commands - `create_pattern` - Fabric patterns - `create_logo` - Logo designs - `create_podcast_image` - Podcast imagery - `create_sigma_rules` - SIGMA rules - `create_video_chapters` - Video chapters - `create_upgrade_pack` - Upgrade documentation ### Improvement (10 patterns) - `improve_writing` - General writing improvement - `improve_academic_writing` - Academic writing - `improve_prompt` - Prompt engineering - `improve_report_finding` - Report findings - `review_code` - Code review - `review_design` - Design review - `refine_design_document` - Design refinement - `humanize` - Humanize AI text - `enrich_blog_post` - Blog enhancement - `clean_text` - Text cleanup ### Rating/Judgment (8 patterns) - `rate_ai_response` - Rate AI outputs - `rate_ai_result` - Rate AI results - `rate_content` - Rate content quality - `rate_value` - Rate value proposition - `judge_output` - General judgment - `label_and_rate` - Label and rate - `check_agreement` - Agreement checking - `arbiter-evaluate-quality` - Quality evaluation ## 🔄 Updating Patterns The Fabric repository is included in this skill at `${PAI_DIR}/skills/fabric/fabric-repo/`. **To update patterns:** ```bash cd ${PAI_DIR}/skills/fabric/fabric-repo git pull origin main ``` **To see all available patterns:** ```bash ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/ # OR from your local Fabric install: ls ~/.config/fabric/patterns/ ``` ## 💡 Usage Examples **Threat Modeling:** ```bash # User: "Create a threat model for our new API" fabric "API that handles user authentication and payment processing" -p create_threat_model ``` **Summarization:** ```bash # User: "Summarize this blog post" fabric -u "https://example.com/blog-post" -p summarize # User: "Give me a 5-sentence summary" fabric -u "https://example.com/article" -p create_5_sentence_summary ``` **Wisdom Extraction:** ```bash # User: "Extract wisdom from this video" fabric -y "https://youtube.com/watch?v=..." -p extract_wisdom # User: "What are the main ideas?" fabric -u "URL" -p extract_main_idea ``` **Analysis:** ```bash # User: "Analyze this code for issues" fabric "$(cat code.py)" -p analyze_code # User: "Analyze these security claims" fabric "security claims text" -p analyze_claims ``` ## 🎯 Pattern Selection Decision Matrix | User Request Contains | Likely Intent | Recommended Patterns | |----------------------|---------------|----------------------| | "threat model" | Security modeling | `create_threat_model`, `create_stride_threat_model` | | "summarize", "summary" | Summarization | `summarize`, `create_5_sentence_summary` | | "extract wisdom", "insights" | Wisdom extraction | `extract_wisdom`, `extract_insights` | | "analyze [X]" | Analysis | `analyze_[X]` (match X to pattern) | | "improve", "enhance" | Improvement | `improve_writing`, `improve_prompt` | | "create [visualization]" | Visualization | `create_mermaid_visualization`, `create_markmap_visualization` | | "rate", "judge", "evaluate" | Rating | `rate_content`, `judge_output` |
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