Fabric
FreeStreamline your analysis and summarization tasks with ease.
Free · Opens the source repo
What Fabric does
Fabric is a powerful skill designed to enhance your workflow by providing access to over 240 specialized prompt patterns for tasks such as extraction, summarization, analysis, creation, improvement, security, and rating. These patterns allow you to execute complex prompts quickly and efficiently, without the need to remember or reconstruct them from scratch. Each pattern is structured to deliver specific outputs, making it easier to obtain insights, summaries, and analyses tailored to your needs.
The skill operates natively within the LifeOS environment, which means it reads and applies the prompt patterns directly from their respective system.md files. This eliminates the latency associated with external command-line interface (CLI) calls, streamlining your workflow. The CLI is only utilized for specific tasks like extracting YouTube transcripts or fetching content from URLs when necessary, ensuring that your primary interactions remain fast and efficient.
Fabric is particularly useful for developers, analysts, and content creators who frequently need to perform tasks such as threat modeling, analyzing claims, or improving writing. By having a library of proven patterns at your disposal, you can significantly reduce the time spent on repetitive tasks and focus on more critical aspects of your work. Whether you're looking to summarize a lengthy article or create a structured threat model, Fabric provides the tools you need to accomplish these tasks quickly and effectively.
With its organized pattern catalog and straightforward execution workflows, Fabric is an invaluable addition to any toolkit that requires regular content analysis and summarization. It empowers users to leverage AI capabilities without getting bogged down by the complexities of prompt engineering, making it an ideal choice for those looking to enhance their productivity and efficiency in various analytical tasks.
When to use it
Use Fabric when you need to execute specific tasks like summarization, analysis, or threat modeling quickly and efficiently.
When not to use it
Fabric is not suitable for multi-agent investigations or content-adaptive extraction tasks.
What you can build with it
Extract insights from articles
Use Fabric to quickly extract key ideas and insights from lengthy articles using the extract_wisdom pattern.
Create a structured threat model
Leverage Fabric's create_threat_model pattern to develop a comprehensive threat analysis for your application.
Improve writing quality
Utilize the improve_writing pattern to enhance the clarity and effectiveness of your written content.
How to install Fabric
View source1. Install with the skills CLI
npx skills add danielmiessler/lifeos/Fabric --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by danielmiesslerCustomization
Before executing, check for user customizations at:
~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/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:
-
Send voice notification:
curl -s -X POST http://localhost:31337/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow in the Fabric skill to ACTION"}' \ > /dev/null 2>&1 & -
Output text notification:
Running the **WorkflowName** workflow in the **Fabric** skill to ACTION...
Full documentation: ~/.claude/LIFEOS/DOCUMENTATION/Notifications/NotificationSystem.md
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/
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 |
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, LifeOS executes patterns natively:
- Reads
Patterns/{pattern_name}/system.md - Applies pattern instructions directly as prompt
- 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.
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 |
|---|---|
Patterns/ | Local pattern storage (240+) |
Workflows/ | Execution workflows |
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 URLfor YouTube extraction — don't scrape YouTube pages. fabric handles transcript extraction natively.- Pattern names are exact.
extract_wisdomnotextractwisdom. Checkfabric --listif unsure. - Long content may exceed pattern context limits. For very long inputs, chunk the content or use a summarize pattern first.
Execution Log
After completing any workflow, append a single JSONL entry:
echo '{"ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","skill":"Fabric","workflow":"WORKFLOW_USED","input":"8_WORD_SUMMARY","status":"ok|error","duration_s":SECONDS}' >> ~/.claude/LIFEOS/MEMORY/SKILLS/execution.jsonl
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.
Frequently asked questions about Fabric
Similar skills
Agent-Browser Core
Efficient browser automation for AI agents.
Setup My IQ
Effortlessly create and update your personal context portfolio.
CRM Maintenance
Automate HubSpot updates from your calendar and emails.
Zoom MCP
Streamline access to Zoom meeting assets and recordings.
Slack Automation
Automate tasks and extract data from Slack easily.
SMB Onboard
Guides small business owners through initial tool setup.