This skill designs retrieval strategies for knowledge graphs in RAG, selecting patterns, decomposing queries, and tracing provenance.
npx playbooks add skill lyndonkl/claude --skill retrieval-search-orchestration
Retrieval Search Orchestration specializes your AI coding agent in developer workflow — it this skill designs retrieval strategies for knowledge graphs in rag, selecting patterns, decomposing queries, and tracing provenance.
At 17 words, this compact prompt gives your agent specialized developer workflow expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
This skill designs retrieval strategies for knowledge graphs in RAG, selecting patterns, decomposing queries, and tracing provenance.
Retrieval Search Orchestration is a free developer workflow skill for AI coding agents. This skill designs retrieval strategies for knowledge graphs in RAG, selecting patterns, decomposing queries, and tracing provenance.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
Run npx playbooks add skill lyndonkl/claude --skill retrieval-search-orchestration in your terminal to install Retrieval Search Orchestration into your Claude Code session. It works immediately after installation.
Retrieval Search Orchestration is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Retrieval Search Orchestration is completely free and open source. The full source is available on GitHub at https://github.com/lyndonkl/claude/tree/main/skills/retrieval-search-orchestration. You only need a subscription to the AI agent you use it with.
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