---
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)"}]}}
---

# 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

```bash
echo "input text" | fabric-ai -p <pattern>
```

### Stream output (recommended)

```bash
echo "input text" | fabric-ai -p <pattern> -s
```

### Process a YouTube video

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

### Process a web page

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

### Specify model

```bash
echo "input" | fabric-ai -p <pattern> -m gpt-4o
```

### Chinese output

```bash
echo "input" | fabric-ai -p <pattern> -g zh -s
```

### Chain patterns (pipe output to next pattern)

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

### Reasoning strategy (requires setup)

```bash
echo "input" | fabric-ai -p <pattern> --strategy cot -s
```

### Process an image (multimodal)

```bash
echo "describe this image" | fabric-ai -p <pattern> -a /path/to/image.png -s
```

### Use context

```bash
echo "input" | fabric-ai -p <pattern> -C my_context -s
```

### Session continuity

```bash
echo "input" | fabric-ai -p <pattern> --session my_session -s
```

### Save output to file

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

### Copy output to clipboard

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

### Dry run (preview without calling API)

```bash
fabric-ai -p <pattern> --dry-run
```

### List all available patterns

```bash
fabric-ai -l
```

## Template Variables

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

```bash
# Single variable
echo "input" | fabric-ai -p <pattern> -v="#role:expert"

# Multiple variables
echo "input" | fabric-ai -p <pattern> -v="#role:expert" -v="#points:30"
```

## Custom Patterns

Create custom patterns at `~/.config/fabric/patterns/<name>/system.md`.

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

## Feeding File Content

```bash
cat file.txt | fabric-ai -p <pattern> -s
cat file1.md file2.md | fabric-ai -p <pattern> -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.


---
Source attribution: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/koriyoshi2041/fabric-bridge/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 clawdbot

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/koriyoshi2041/fabric-bridge/SKILL.md
Attribution basis: Source repository record

Fields of work: Content & Media, Marketing
Roles: Content Marketer, Copywriter, Growth Marketer, Marketing Analyst, Product Marketer
Specialties: API
Tools: Fabric Ai
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 052371932e924ee2bcda914a67401431ad5a462d6ba014a6f2942f863b4d22fd