Install
openclaw skills install fabric-bridgeRun 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.
openclaw skills install fabric-bridgeRun Fabric AI patterns via the fabric-ai CLI. Each pattern is a reusable system prompt for a specific task.
See
references/popular-patterns.mdfor a curated list of high-quality patterns by category.
fabric-ai, not fabric.fabric-ai -S to configure API keys.fabric-ai -U to update patterns.-s (stream) for most calls to avoid long waits.echo "input text" | fabric-ai -p <pattern>
echo "input text" | fabric-ai -p <pattern> -s
fabric-ai -y "https://youtube.com/watch?v=..." -p extract_wisdom -s
fabric-ai -u "https://example.com/article" -p summarize -s
echo "input" | fabric-ai -p <pattern> -m gpt-4o
echo "input" | fabric-ai -p <pattern> -g zh -s
echo "input" | fabric-ai -p extract_wisdom | fabric-ai -p summarize
echo "input" | fabric-ai -p <pattern> --strategy cot -s
echo "describe this image" | fabric-ai -p <pattern> -a /path/to/image.png -s
echo "input" | fabric-ai -p <pattern> -C my_context -s
echo "input" | fabric-ai -p <pattern> --session my_session -s
echo "input" | fabric-ai -p extract_wisdom -o output.md
echo "input" | fabric-ai -p extract_wisdom -c
fabric-ai -p <pattern> --dry-run
fabric-ai -l
Patterns can contain {{variable}} placeholders. Pass values with -v:
# 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"
Create custom patterns at ~/.config/fabric/patterns/<name>/system.md.
Each pattern directory contains a system.md file with the system prompt.
cat file.txt | fabric-ai -p <pattern> -s
cat file1.md file2.md | fabric-ai -p <pattern> -s
-s (stream) for interactive use — output appears incrementally.-g zh when the user wants Chinese output.-o file.md to save output, -c to copy to clipboard.--dry-run to inspect what will be sent before making API calls.fabric-ai -U periodically to get new community patterns.