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name: search-code description: Search code and documentation using full-text and semantic search. Accepts a query string and returns matching files with relevance scores. allowed-tools: Read,Grep,Glob metadata: category: search version: 1.0.0

Search Code Skill

This skill enables agents to search through indexed code and documentation using both full-text and semantic search capabilities.

Usage

The search-code skill accepts a query string and returns matching documents with relevance scores. It supports various filters to narrow down results.

Parameters

Document Types

• source_code - Source code files (.go, .py, .js, etc.)
• markdown - Markdown documentation files
• config - Configuration files (YAML, JSON, TOML)
• llm_prompt - LLM prompts
• llm_response - LLM responses
• web_fetch - Fetched web content
• note - User notes
• git_commit - Git commit messages

Example Usage

Search for function definitions:

CopySearch for "func main" in Go files

Search with type filter:

CopySearch for "authentication" in source_code documents only

Search with path filter:

CopySearch for "TODO" in files under /src/

Result Format

Each result includes:

• Document ID and path
• Document type and language (if applicable)
• Relevance score (0.0 - 1.0)
• Content snippet
• Matched fields and highlights (if requested)

Best Practices

1. Use specific queries for better precision
2. Apply type filters when searching for specific content
3. Use path filters to scope searches to relevant directories
4. Enable highlights for context in search results
5. Increase fuzzy level for typo-tolerant searches