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name: fabric context: fork model: sonnet 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 exists
fabric --version && \
test -f ~/.config/fabric/patterns/pattern_explanations.md && echo 'Fabric is properly installed and configured'

If Fabric is not installed, alert the user, make sure it is installed.

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)

Full pattern reference: read ${PAI_DIR}/skills/fabric/fabric-patterns-reference.md

Category	Count	Common Patterns
Security & Threat Modeling	15	create_threat_model, create_stride_threat_model, analyze_incident
Summarization	20	summarize, create_5_sentence_summary, youtube_summary
Extraction	30+	extract_wisdom, extract_insights, extract_main_idea
Analysis	35+	analyze_claims, analyze_code, analyze_paper
Creation	50+	create_prd, create_mermaid_visualization, create_user_story
Improvement	10	improve_writing, improve_prompt, review_code
Rating	8	rate_content, judge_output, rate_ai_response

🔄 Updating Patterns

The Fabric patterns exists in ~/.config/fabric/patterns/.

To see all available patterns:

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

🤖 Model Selection

Comprehensive Model Guide: read ${PAI_DIR}/skils/fabric/fabric-model-reference.md

Quick Recommendations:

• High Volume/Free: gemini-2.5-flash (free, ultra-fast)
• Balanced Quality: claude-sonnet-4-5-20250929 (best general purpose, recommended)
• Maximum Quality: claude-opus-4-20250514 (highest quality)
• Reasoning Tasks: gemini-2.0-flash-thinking-exp (extended thinking mode)
• Cost Sensitive: claude-3-5-haiku-20241022 (ultra-low cost)

List Available Models: fabric --listmodels

Specify Model: fabric "content" -p pattern_name --model claude-sonnet-4-5-20250929

📖 Supplementary Resources

Strategy Reference: read ${PAI_DIR}/skils/fabric/fabric-strategies-reference.md Task-based pattern selection guide with workflows and test cases

Pattern Reference (Complete): read ${PAI_DIR}/skils/fabric/fabric-patterns-reference.md Comprehensive categorized reference for all 240 patterns

Model Reference: read ${PAI_DIR}/skils/fabric/fabric-model-reference.md Full Pattern List: ls ~/.config/fabric/patterns/ Fabric Documentation: https://github.com/danielmiessler/fabric Pattern Templates: See ~/.config/fabric/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