using-agent-brain

using-agent-brain is a RAG & retrieval skill for AI agents, published by SpillwaveSolutions in the agent-brain repository on GitHub. Skillspace rates using-agent-brain C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Expert Agent Brain skill for document search with BM25 keyword, semantic vector, hybrid, graph, and multi retrieval modes. Use when asked to "search documentation", "query domain", "find in docs", "bm25 search", "hybrid search", "semantic search", "graph search", "multi search", "find dependencies", "code relationships", "searching knowledge base", "querying indexed documents", "finding code references", "exploring codebase", "what calls this function", "find imports", "trace dependencies", "brain search", "brain query", "knowledge base search", "cache management", "clear embedding cache", "cache hit rate", or "cache status". Supports multi-instance architecture with automatic server discovery. GraphRAG mode enables relationship-aware queries for code dependencies and entity connections. Pluggable providers for embeddings (OpenAI, Cohere, Ollama) and summarization (Anthropic, OpenAI, Gemini, Grok, Ollama). Supports multiple runtimes (Claude Code, OpenCode, Gemini CLI) with shared…

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

112

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