Fabric Skill

Name: fabric
Rating: 76
Author: danielmiessler

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

🚀 Advanced Usage

Pipe content through Fabric:

bash

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

Process YouTube videos:

bash

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

Chain patterns (manual):

bash

# 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