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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A thin wrapper over $IMPORTS_ROOT/chat_search.py. Do NOT reimplement the logic — call the engine and show the result.
_brain_sessions.npy (21k+ chunks from _session-md\<machine>\<cli>.md), built by brain_sessions_index.py./ask: raw chats are deliberately excluded from the sharp "mind" (the essence/evidence decision, 2026-06-26). This is the evidence layer — "where exactly it was discussed" — while /ask answers "what I think".python "$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>.
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.
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.Run: python brain_sessions_index.py --full./ask (meaning across the vault), /search (exact words in Telegram/FB/ChatGPT), /resume-last (continue the latest).Like this skill? It is part of 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 (a second opinion from a panel of external models), claude-memory-tidy (stop your agent's memory from rotting), telegram-mcp-kit (your own Telegram over MCP in about 15 minutes).
Author: Anton Dziatkovskii, Palo Alto AI Research Lab. Telegram @tonydzi - WhatsApp +1 341 222 9178 - X @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.
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Run an autonomous consensus round between agent peers on several machines: they negotiate a decision over a shared channel and execute it without a human relaying messages. Use when multiple machines must agree on a change. Triggers: "/03", "work it out among yourselves", "find consensus". Wakes the human only for irreversible actions or a deadlock.
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Recover a session after a hard crash (app died, machine rebooted, context lost mid-work): replay the turn-state ledger for the last requests, files and decisions, run a green/red health ping over the system map, file sync and MCP connectors, then rebuild the previous session history for pickup. Triggers: "/1", "resume after crash", "wake".
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Show the operator's day: today's calendar plus what needs them personally (leads due, people awaiting a reply, deadlines), pulled from Calendar and Telegram and ranked. Read-only: sends and commits nothing. Triggers: "/agenda", "what's on today", "my agenda".
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Rewrite machine-written text so it reads like a busy human wrote it: cut 50-70%, break the even rhythm, drop AI-tell words and filler, keep facts and protected terms. Use before publishing any post, reply or email drafted by a model. Triggers: /ai-slop, /slop, humanize, anti-slop, make it shorter and alive.
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Decision protocol for strategic work: recall the knowledge vault, run a gap analysis, emit a deep-research prompt for external tools, then synthesize the returned reports into a decision memo. Use before any new product, feature, market, pricing, GTM or architecture call, where local recall alone is not enough. Triggers: "/alfa-search-recall-deepresearch", "alpha protocol", "R+DR".
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- КРЕДИТ АВТОРУ ИДЕИ: совет из комментария (TG @ClawRus / @ClawInga, комменты под постами Антона в FB, треды и issue на… Триггеры: “/alpha-credit“, “/credit“, “кто нам это посоветовал“, “запиши совет“, “поблагодари советчиков“, “кому мы должны спасибо“, “кредит автору“, “чей это был совет“, “credit the author“
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