What problem does it solve? After context resets, agents and developers lose track of past decisions, gotchas, and validated facts, causing repeated mistakes and re-derived work. This Skill searches the project's configured memory surface and returns relevant stored facts ranked by relevance. ## Core Features & Use Cases - Ranked Memory Search: Full-text search in markdown-only mode or a governed graph recall engine that ranks hits by tier, trust, recency, and centrality while hiding superseded nodes. - Graph Read Verbs: In graph mode, exposes search, neighbors, traverse, path, and stats read operations plus MCP, HTTP, and context-pack diagnostics. - Use Case: Before implementing a fix, ask "did we decide how to handle retries?" and recall surfaces the stored decision with its evidence, so you verify and reuse it instead of re-deriving it. ## Quick Start Ask the agent to run memory recall with the query "what do we know about the retry policy" and fold the ranked hits into its answer.