name: Fabric
description: Intelligent prompt pattern system with 240+ specialized patterns for content analysis, extraction, and transformation. USE WHEN user says 'use fabric', 'fabric pattern', 'run fabric', 'update fabric', 'update patterns', 'sync fabric', 'extract wisdom', 'summarize with fabric', 'create threat model', 'analyze with fabric', OR any request to apply Fabric patterns to content.

Customization

Before executing, check for user customizations at:
~/.claude/skills/PAI/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:
   bash 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/PAI/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

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

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

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

Changelog

2026-01-18

• Initial skill creation (extracted from PAI/Tools/fabric)
• Native pattern execution (no CLI dependency for most patterns)
• Two workflows: ExecutePattern, UpdatePatterns
• 240+ patterns organized by category
• PAI Pack ready structure