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:

Recognize "threat model" intent
Know available options: create_threat_model, create_stride_threat_model, create_threat_scenarios
Select the best match (usually create_threat_model unless STRIDE specified)
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

fabric

$ Instalar