reflectrecalllisted

# /reflect:recall — Retrieve relevant prior learnings Queries the global learnings KB (GraphRAG + vector) and surfaces the top-N most relevant learnings for the current work, reranked by confidence, recency, and tag overlap. ## When to use - Starting work in a project or on a new branch — "what do we know about X" - Debugging a recurring issue — "have we seen this error before" - Before implementing a feature — "has this pattern been tried" - When the user references past work ("like we did in Y") **Also fires automatically** via the SessionStart hook (see `hooks/session_start_recall.py`) with a 3-result cap, any confidence (reranked by confidence/recency/tag-overlap). This skill is the explicit, higher-limit path. ## Quick reference | Invocation | Behavior | |---|---| | `/reflect:recall <query>` | Default — 10 results, any confidence, markdown out | | `/reflect:recall <query> --limit 5 --confidence HIGH` | Tight filter | | `/reflect:recall <query> --mode local` | Graph-neighborhood search (finds related concepts) | | `/reflect:recall <query> --mode global` | Community-based (broad patterns) | | `/reflect:recall <query> --format json` | Structured output for programmatic use | | `/reflect:recall <query> --no-cache` | Skip cache, force fresh query | ## Workflow 1. **Build the query** — combine the user's question with project context: current cwd, branch name, any relevant tags the user mentioned. 2. **Run recall** — invoke `{{HOME_TOOL_DIR}}/skills/recall/scripts/r