Fabric Bridge

---

name: fabric-bridge description: "Run Fabric AI patterns for text transformation, analysis, and content creation. Use when the user asks to use a Fabric pattern, extract wisdom, analyze claims, improve writing, summarize with Fabric, or mentions 'fabric' CLI. Supports 242+ patterns for tasks like content analysis, writing improvement, code review, threat modeling, and structured extraction." homepage: https://github.com/danielmiessler/fabric metadata: {"clawdbot":{"emoji":"🧶","requires":{"bins":["fabric-ai"]},"install":[{"id":"brew","kind":"brew","formula":"fabric-ai","bins":["fabric-ai"],"label":"Install Fabric AI (brew)"}]}}

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Fabric Bridge

Run Fabric AI patterns via the fabric-ai CLI. Each pattern is a reusable system prompt for a specific task.

> See references/popular-patterns.md for a curated list of high-quality patterns by category.

Important Notes

The command is fabric-ai, not fabric.

First-time setup: run fabric-ai -S to configure API keys.

If pattern list is empty: run fabric-ai -U to update patterns.

Use -s (stream) for most calls to avoid long waits.

Core Commands

Basic usage

echo "input text" | fabric-ai -p 

Stream output (recommended)

echo "input text" | fabric-ai -p  -s

Process a YouTube video

fabric-ai -y "https://youtube.com/watch?v=..." -p extract_wisdom -s

Process a web page

fabric-ai -u "https://example.com/article" -p summarize -s

Specify model

echo "input" | fabric-ai -p  -m gpt-4o

Chinese output

echo "input" | fabric-ai -p  -g zh -s

Chain patterns (pipe output to next pattern)

echo "input" | fabric-ai -p extract_wisdom | fabric-ai -p summarize

Reasoning strategy (requires setup)

echo "input" | fabric-ai -p  --strategy cot -s

Process an image (multimodal)

echo "describe this image" | fabric-ai -p  -a /path/to/image.png -s

Use context

echo "input" | fabric-ai -p  -C my_context -s

Session continuity

echo "input" | fabric-ai -p  --session my_session -s

Save output to file

echo "input" | fabric-ai -p extract_wisdom -o output.md

Copy output to clipboard

echo "input" | fabric-ai -p extract_wisdom -c

Dry run (preview without calling API)

fabric-ai -p  --dry-run

List all available patterns

fabric-ai -l

Template Variables

Patterns can contain {{variable}} placeholders. Pass values with -v:

# Single variable
echo "input" | fabric-ai -p  -v="#role:expert"
Multiple variables
echo "input" | fabric-ai -p  -v="#role:expert" -v="#points:30"

Custom Patterns

Create custom patterns at ~/.config/fabric/patterns//system.md.

Each pattern directory contains a system.md file with the system prompt.

Feeding File Content

cat file.txt | fabric-ai -p  -s
cat file1.md file2.md | fabric-ai -p  -s

Tips

Prefer -s (stream) for interactive use — output appears incrementally.

Chain patterns for multi-step processing (extract → summarize → translate).

Use -g zh when the user wants Chinese output.

Use -o file.md to save output, -c to copy to clipboard.

Use --dry-run to inspect what will be sent before making API calls.

Run fabric-ai -U periodically to get new community patterns.

Prefer -s (stream) for interactive use — output appears incrementally.

Chain patterns for multi-step processing (extract → summarize → translate).

Use -g zh when the user wants Chinese output.

Use -o file.md to save output, -c to copy to clipboard.

Use --dry-run to inspect what will be sent before making API calls.

Run fabric-ai -U periodically to get new community patterns.