fabric

SKILL.md

Customization

Before executing, check for user customizations at: ~/.claude/skills/CORE/USER/SKILLCUSTOMIZATIONS/Fabric/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

Voice Notification

When executing a workflow, do BOTH:

  1. Send voice notification:

    curl -s -X POST http://localhost:8888/notify \
      -H "Content-Type: application/json" \
      -d '{"message": "Running the WORKFLOWNAME workflow in the Fabric skill to ACTION"}' \
      > /dev/null 2>&1 &
    
  2. Output text notification:

    Running the **WorkflowName** workflow in the **Fabric** skill to ACTION...
    

Full documentation: ~/.claude/skills/CORE/SYSTEM/THENOTIFICATIONSYSTEM.md

Fabric

Intelligent prompt pattern system providing 240+ specialized patterns for content analysis, extraction, summarization, threat modeling, and transformation.

Patterns Location: ~/.claude/skills/Fabric/Patterns/


Workflow Routing

Workflow Trigger File
ExecutePattern "use fabric", "run pattern", "apply pattern", "extract wisdom", "summarize", "analyze with fabric" Workflows/ExecutePattern.md

Note: To update patterns locally, run fabric -U to pull from the upstream fabric repo.


Examples

Example 1: Extract wisdom from content

User: "Use fabric to extract wisdom from this article"
-> Invokes ExecutePattern workflow
-> Selects extract_wisdom pattern
-> Reads Patterns/extract_wisdom/system.md
-> Applies pattern to content
-> Returns structured IDEAS, INSIGHTS, QUOTES, etc.

Example 2: Update patterns

User: "Update fabric patterns"
-> Invokes UpdatePatterns workflow
-> Runs git pull from upstream fabric repository
-> Syncs patterns to local Patterns/ directory
-> Reports pattern count

Example 3: Create threat model

User: "Use fabric to create a threat model for this API"
-> Invokes ExecutePattern workflow
-> Selects create_threat_model pattern
-> Applies STRIDE methodology
-> Returns structured threat analysis

Quick Reference

Pattern Execution (Native - No CLI Required)

Instead of calling fabric -p pattern_name, PAI executes patterns natively:

  1. Reads Patterns/{pattern_name}/system.md
  2. Applies pattern instructions directly as prompt
  3. Returns results without external CLI calls

When to Use Fabric CLI Directly

Only use fabric command for:

  • -y URL - YouTube transcript extraction
  • -u URL - URL content fetching (when native fetch fails)

Most Common Patterns

Intent Pattern Description
Extract insights extract_wisdom IDEAS, INSIGHTS, QUOTES, HABITS
Summarize summarize General summary
5-sentence summary create_5_sentence_summary Ultra-concise
Threat model create_threat_model Security threat analysis
Analyze claims analyze_claims Fact-check claims
Improve writing improve_writing Writing enhancement
Code review review_code Code analysis
Main idea extract_main_idea Core message extraction

Full Pattern Catalog

See PatternCatalog.md for complete list of 240+ patterns organized by category.


Native Pattern Execution

How it works:

User Request → Pattern Selection → Read system.md → Apply → Return Results

Pattern Structure:

Patterns/
├── extract_wisdom/
│   └── system.md       # The prompt instructions
├── summarize/
│   └── system.md
├── create_threat_model/
│   └── system.md
└── ...240+ patterns

Each pattern's system.md contains the full prompt that defines:

  • IDENTITY (who the AI should be)
  • PURPOSE (what to accomplish)
  • STEPS (how to process input)
  • OUTPUT (structured format)

Pattern Categories

Category Count Examples
Extraction 30+ extract_wisdom, extract_insights, extract_main_idea
Summarization 20+ summarize, create_5_sentence_summary, youtube_summary
Analysis 35+ analyze_claims, analyze_code, analyze_threat_report
Creation 50+ create_threat_model, create_prd, create_mermaid_visualization
Improvement 10+ improve_writing, improve_prompt, review_code
Security 15 create_stride_threat_model, create_sigma_rules, analyze_malware
Rating 8 rate_content, judge_output, rate_ai_response

Integration

Feeds Into

  • Research - Fabric patterns enhance research analysis
  • Blogging - Content summarization and improvement
  • Security - Threat modeling and analysis

Uses

  • fabric CLI - For YouTube transcripts (-y) and URL fetching (-u)
  • Native execution - Direct pattern application (preferred)

File Organization

Path Purpose
~/.claude/skills/Fabric/Patterns/ Local pattern storage (240+)
~/.claude/skills/Fabric/PatternCatalog.md Full pattern documentation
~/.claude/skills/Fabric/Workflows/ Execution workflows
~/.claude/skills/Fabric/Tools/ CLI utilities

Changelog

2026-01-18

  • Initial skill creation (extracted from CORE/Tools/fabric)
  • Native pattern execution (no CLI dependency for most patterns)
  • Two workflows: ExecutePattern, UpdatePatterns
  • 240+ patterns organized by category
  • PAI Pack ready structure
Weekly Installs
6
First Seen
2 days ago
Installed on
claude-code4
gemini-cli4
clawdbot3
opencode3
cursor3
codex3