1.2 KiB
1.2 KiB
name, argument-hint, allowed-tools, description, category, complexity, mcp-servers
| name | argument-hint | allowed-tools | description | category | complexity | mcp-servers | ||
|---|---|---|---|---|---|---|---|---|
| suggest |
|
|
Suggest Fabric patterns based on user prompt analysis | utility | basic |
Usage
/suggest [user_prompt]
Arguments
user_prompt- Describe what you want to do
Execution
Delegate to the pattern-suggester subagent with the provided user prompt for intelligent pattern suggestions based on semantic analysis.
The pattern-suggester agent will:
- Load and analyze the Fabric pattern library from
${CLAUDE_PLUGIN_ROOT}/.fabric-core/pattern_descriptions.json - Perform deep semantic analysis of the user prompt
- Identify primary intent, domain context, and specific requirements
- Match patterns based on tags, semantic similarity, and use case alignment
- Generate 3-5 targeted pattern recommendations with clear reasoning
- Suggest single patterns for simple tasks or multi-pattern workflows for complex tasks
- Provide alternative approaches for different outcomes
Example
/suggest "I need to analyze security vulnerabilities in my codebase"
This will invoke the pattern-suggester subagent to recommend security-focused analysis patterns from the Fabric library.