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

🚀 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