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