Fabric

240+ specialized prompt patterns for content analysis, extraction, and transformation — run patterns, sync from repo, create threat models, summarize. USE WHEN fabric, fabric pattern, run fabric, update patterns, sync fabric, summarize with fabric, create threat model, analyze with fabric.

11,146 stars

Best use case

Fabric is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

240+ specialized prompt patterns for content analysis, extraction, and transformation — run patterns, sync from repo, create threat models, summarize. USE WHEN fabric, fabric pattern, run fabric, update patterns, sync fabric, summarize with fabric, create threat model, analyze with fabric.

Teams using Fabric should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/Fabric/SKILL.md --create-dirs "https://raw.githubusercontent.com/danielmiessler/Personal_AI_Infrastructure/main/Packs/Utilities/src/Fabric/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/Fabric/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Fabric Compares

Feature / AgentFabricStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

240+ specialized prompt patterns for content analysis, extraction, and transformation — run patterns, sync from repo, create threat models, summarize. USE WHEN fabric, fabric pattern, run fabric, update patterns, sync fabric, summarize with fabric, create threat model, analyze with fabric.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

## Customization

**Before executing, check for user customizations at:**
`~/.claude/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/PAI/THENOTIFICATIONSYSTEM.md`

# Fabric

Intelligent 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`, 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

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 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

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