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From ruflo-rag-memory
Semantic search across Ruflo AgentDB with HNSW vector indexing
How this skill is triggered — by the user, by Claude, or both
Slash command
/ruflo-rag-memory:memory-search [query][query]This skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Search memory with semantic vector search (150x-12,500x faster than brute force).
Search memory with semantic vector search (150x-12,500x faster than brute force).
Via MCP: mcp__claude-flow__memory_search({ query: "authentication patterns", namespace: "patterns", limit: 5 })
Store: mcp__claude-flow__memory_store({ key: "pattern-name", value: "what worked", namespace: "patterns" })
List: mcp__claude-flow__memory_list({ namespace: "patterns", limit: 10 })
Retrieve: mcp__claude-flow__memory_retrieve({ key: "pattern-name", namespace: "patterns" })
Common namespaces: patterns, tasks, solutions, feedback, security.
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.
npx claudepluginhub k2k22k2k22/ruflo --plugin ruflo-rag-memory