Fabric

Fabric

What It Does

Runs any of 240+ specialized prompt patterns across extraction, summarization, analysis, creation, improvement, security, and rating. Common ones: extract_wisdom, create_threat_model, analyze_claims, improve_writing, review_code, mermaid, youtube_summary. Patterns run natively — LifeOS reads the pattern's system.md and applies it directly, no CLI round-trip. The fabric CLI is only used for YouTube transcripts (-y) and URL fallback (-u).

The Problem

Good prompts are scattered, hard to remember, and easy to rewrite badly from scratch each time. You want a threat model, a claims analysis, or a clean summary, but reconstructing the right prompt every time is slow and inconsistent. Calling an external CLI for each one adds latency and a dependency. This skill keeps 240+ proven patterns on hand and applies them directly as prompts, so the right structured prompt is one pattern name away.

How It Works

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

Patterns Location: Patterns/

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Workflow Routing

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

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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

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Quick Reference

Pattern Execution (Native - No CLI Required)

Instead of calling fabric -p pattern_name, LifeOS 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

Browse the Patterns/ directory for the complete list of 240+ patterns organized by category.

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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)

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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

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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)

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File Organization

Path	Purpose
Patterns/	Local pattern storage (240+)
Workflows/	Execution workflows

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Changelog

2026-01-18

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

Gotchas

• fabric -y URL for YouTube extraction — don't scrape YouTube pages. fabric handles transcript extraction natively.
• Pattern names are exact. extract_wisdom not extractwisdom. Check fabric --list if unsure.
• Long content may exceed pattern context limits. For very long inputs, chunk the content or use a summarize pattern first.

Replace WORKFLOW_USED with the workflow executed, 8_WORD_SUMMARY with a brief input description, and SECONDS with approximate wall-clock time. Log status: "error" if the workflow failed.