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chat-searchlisted

Search inside past agent sessions and continue the one that matters with a single command. Uses a separate episodic session index, so raw chat noise never pollutes the curated RAG. Triggers: "/chat-search", "which chat discussed X", "did we already research X", "search old chats".
tonydzi/second-brain-starter-kit · ★ 6 · AI & Automation · score 78
Install: claude install-skill tonydzi/second-brain-starter-kit
# /chat-search — the book of chats (search inside old sessions) A thin wrapper over `$IMPORTS_ROOT/chat_search.py`. Do NOT reimplement the logic — call the engine and show the result. ## When - "which chat did we discuss X in?", "have we already looked into this?", "find the old conversation about X". - Before starting a new topic — check whether it was already dug into (the twin of RECALL). ## What it is (and what it is NOT) - It searches a **separate** session index `_brain_sessions.npy` (21k+ chunks from `_session-md\<machine>\<cli>.md`), built by `brain_sessions_index.py`. - It is **NOT** the essence index behind `/ask`: raw chats are deliberately excluded from the sharp "mind" (the essence/evidence decision, 2026-06-26). This is the evidence layer — "where exactly it was discussed" — while `/ask` answers "what I think". - HUMAN chats only: service/robot sessions are filtered out at export time (a classifier + a cheap-model judge). ## How to run ``` python "$IMPORTS_ROOT/chat_search.py" "query in your own words" python "$IMPORTS_ROOT/chat_search.py" --machine LAPTOP-1 "query" # one machine only python "$IMPORTS_ROOT/chat_search.py" -n 8 "query" # top-N (default 10) ``` Every hit: `[rr=score] date · machine · topic` + a snippet + the line `▶ continue: python continue_session.py <cli>`. ## Continue a chat you found Copy the command from the hit (or use `/resume-last` for the most recent one). `continue_session.py <cli>` assembles a seed of the old