Smithery Logo
MCPsSkillsDocsPricing
Login
Smithery Logo

Accelerating the Agent Economy

Resources

DocumentationPrivacy PolicySystem Status

Company

PricingAboutBlog

Connect

© 2026 Smithery. All rights reserved.

    conarylabs

    search

    conarylabs/search
    Coding
    3
    1 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
    • Claude Code
      Claude Code
    • Codex
      Codex
    • OpenClaw
      OpenClaw
    • Cursor
      Cursor
    • Amp
      Amp
    • GitHub Copilot
      GitHub Copilot
    • Gemini CLI
      Gemini CLI
    • Kilo Code
      Kilo Code
    • Junie
      Junie
    • Replit
      Replit
    • Windsurf
      Windsurf
    • Cline
      Cline
    • Continue
      Continue
    • OpenCode
      OpenCode
    • OpenHands
      OpenHands
    • Roo Code
      Roo Code
    • Augment
      Augment
    • Goose
      Goose
    • Trae
      Trae
    • Zencoder
      Zencoder
    • Antigravity
      Antigravity
    ├─
    ├─
    └─

    About

    Search codebase semantically by concept or functionality. Use when looking for code related to a topic, feature, or pattern rather than exact text matches.

    SKILL.md

    Semantic Code Search

    Search the codebase using Mira's semantic search to find code by meaning, not just text.

    Query: $ARGUMENTS

    Instructions

    No arguments -- ask what to search for

    If no query is provided ($ARGUMENTS is empty), ask the user what they want to find. Suggest examples:

    • "authentication middleware"
    • "error handling patterns"
    • "database connection logic"

    With a query -- semantic search

    If a query is provided:

    1. Use the mcp__mira__code tool:
      code(action="search", query="<the query>", limit=10)
      
    2. Present results clearly with:
      • File path and line numbers -- linked for navigation
      • Relevance score -- how closely the code matches the intent
      • Code snippet -- a short preview of the matching code
    3. Group related results if they come from the same module
    4. Omit results with very low relevance scores

    When results are empty or low-relevance

    If semantic search returns no results or only poor matches:

    1. Suggest refining the query with more specific terms
    2. Try a keyword fallback using Grep for literal string matching
    3. Note that semantic search works best with descriptive intent ("how sessions are created") rather than exact identifiers ("session_start")

    Example Output

    Found 3 results for "session cleanup":
    
    1. src/session/manager.rs:142-158 (score: 0.84)
       fn cleanup_expired_sessions() -- removes sessions older than TTL
    
    2. src/hooks/stop.rs:45-62 (score: 0.71)
       fn on_stop() -- snapshots and archives the current session
    
    3. src/background/tasks.rs:88-95 (score: 0.65)
       fn schedule_cleanup() -- periodic session maintenance task
    

    Follow-Up Hints

    After showing results, suggest next steps:

    • Read a result file for full context
    • code(action="callers", function_name="...") -- trace what calls a found function
    • code(action="symbols", file_path="...") -- explore the structure of a result file
    • Refine the query if results do not match the intent

    Example Usage

    /mira:search authentication middleware
    /mira:search error handling patterns
    /mira:search database connection pooling
    /mira:search how are embeddings generated
    
    Recommended Servers
    Cloudflare AI Search
    Cloudflare AI Search
    Jina AI
    Jina AI
    Exa Search
    Exa Search
    Repository
    conarylabs/mira
    Files