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:

# 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.