fabric

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:

# 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

# 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:

cd ${PAI_DIR}/skills/fabric/fabric-repo
git pull origin main

To see all available patterns:

ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/
# OR from your local Fabric install:
ls ~/.config/fabric/patterns/

💡 Usage Examples

Threat Modeling:

# User: "Create a threat model for our new API"
fabric "API that handles user authentication and payment processing" -p create_threat_model

Summarization:

# 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:

# 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:

# 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
"main idea", "core message"	Core extraction	extract_main_idea, extract_core_message

🚀 Advanced Usage

Pipe content through Fabric:

cat article.txt | fabric -p extract_wisdom
pbpaste | fabric -p summarize
curl -s "https://..." | fabric -p analyze_claims

Process YouTube videos:

# Fabric handles download + transcription + processing
fabric -y "https://youtube.com/watch?v=..." -p youtube_summary

Chain patterns (manual):

# Extract then summarize
fabric -u "URL" -p extract_wisdom > wisdom.txt
cat wisdom.txt | fabric -p create_5_sentence_summary

📖 Supplementary Resources

Full Pattern List: ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/ Fabric Repo: ${PAI_DIR}/skills/fabric/fabric-repo/ Fabric Documentation: https://github.com/danielmiessler/fabric Pattern Templates: See ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/official_pattern_template/

🔑 Key Insight

The skill's value is in selecting the RIGHT pattern for the task.

When user says "Create a threat model using Fabric", your job is to:

1. Recognize "threat model" intent
2. Know available options: create_threat_model, create_stride_threat_model, create_threat_scenarios
3. Select the best match (usually create_threat_model unless STRIDE specified)
4. Execute: fabric "[content]" -p create_threat_model

Not: "Here are the patterns, pick one" Instead: "I'll use create_threat_model for this" → execute immediately