knowledge-searching

Original：🇺🇸 English
Translated

Retrieves implementation knowledge, code examples, and documentation references. Use to inform technical decision-making when the user requires specific library usage, framework patterns, or syntax details. Trigger on requests to 'search docs', 'find code examples', or 'check implementation details'.

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Sourceirahardianto/monarch
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NPX Install

npx skill4agent add irahardianto/monarch knowledge-searching

Tags

Translated version includes tags in frontmatter
knowledge-searchcode-examplesdocumentation-retrievalrag-functionstechnical-decision-making

SKILL.md Content

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Knowledge Searching

Overview

Retrieves implementation knowledge to inform decision-making across the software development lifecycle.
Use this skill when you need:
  • Implementation details for specific libraries/frameworks
  • Code examples for patterns or features
  • Documentation references libraries/frameworks usage
Announce at start: "I'm using the knowledge-research skill to gather implementation details."

Core Functions

Searching Specific Documentation:

  1. Get sources → 
    rag_get_available_sources()
    - Returns list with id, title, url
  2. Find source ID → Match to documentation (e.g., "Supabase docs" → "src_abc123")
  3. Search → 
    rag_search_knowledge_base(query="vector functions", source_id="src_abc123")

General Research:

bash
# Search knowledge base (2-5 keywords only!)
rag_search_knowledge_base(query="authentication JWT", match_count=5)

# Find code examples
rag_search_code_examples(query="React hooks", match_count=3)

Query Guidelines

✅ Good Queries (2-5 keywords)

  • "authentication JWT"
  • "vector functions"
  • "React hooks"
  • "Go context timeout"
  • "SQL row level security"

❌ Bad Queries (too long/verbose)

  • "How do I implement JWT authentication in Go?"
  • "What are the best practices for vector similarity search?"
  • "Show me examples of React hooks for state management"
Rule: Keep queries SHORT and keyword-focused for optimal search results.