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".
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---
name: chat-search
description: >-
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".
license: MIT
---
# /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 chat into the clipboard — paste it into a new session.
## Caveats (AK-47)
- The index is built at night (`run_session_archive.local.cmd` → `brain_sessions_index.py`, incrementally). A fresh chat shows up after the nightly run; to force it: `python brain_sessions_index.py`.
- Index missing / empty → the engine itself tells you `Run: python brain_sessions_index.py --full`.
- Reranker scores can be negative — what matters is the ORDER (top-1 = most relevant), not the sign.
- Siblings: `/ask` (meaning across the vault), `/search` (exact words in Telegram/FB/ChatGPT), `/resume-last` (continue the latest).
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---
**Like this skill?** It is one of 100 in [second-brain-starter-kit](https://github.com/tonydzi/second-brain-starter-kit): the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with `npx skills add tonydzi/second-brain-starter-kit`. Everything is open source and free, so take what you need.
Flagships worth a look on their own: [secondop-panel](https://github.com/tonydzi/secondop-panel) (a second opinion from a panel of external models), [claude-memory-tidy](https://github.com/tonydzi/claude-memory-tidy) (stop your agent's memory from rotting), [telegram-mcp-kit](https://github.com/tonydzi/telegram-mcp-kit) (your own Telegram over MCP in about 15 minutes).
Author: **Anton Dziatkovskii**, Palo Alto AI Research Lab. Telegram [@tonydzi](https://t.me/tonydzi) - WhatsApp [+1 341 222 9178](https://wa.me/13412229178) - X [@Tony_Stef_](https://x.com/Tony_Stef_)
**Engineers: want to test-drive this setup?** Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.