// 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'.
| name | knowledge-searching |
| description | 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'. |
Retrieves implementation knowledge to inform decision-making across the software development lifecycle.
Use this skill when you need:
Announce at start: "I'm using the knowledge-research skill to gather implementation details."
rag_get_available_sources() - Returns list with id, title, urlrag_search_knowledge_base(query="vector functions", source_id="src_abc123")# 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)
"authentication JWT""vector functions""React hooks""Go context timeout""SQL row level security""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.
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Performs dynamic, reflective problem-solving through iterative thought chains. Use for complex planning requiring revision, branching, backtracking, or hypothesis verification. Ideal for multi-step analysis where context maintenance is required or the full scope isn't initially clear.