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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查看安装方法安装前可以查看交给 AI 代理的指令内容。
The operator's pain: the session died mid-work (a crash / the computer went off) → the new session is empty. Before: remember by hand, then separately fire /arch, /sync-check, /mcp, then work out "where did we stop". Now it is one word: /1 (or /!).
What this is NOT: /retro is for a CLEAN end of session (inventory of what was built → routing to homes → /compact). After a sudden crash there is nothing left to package, the context is already gone → you need resurrection, NOT /retro. Two different tools.
The TurnState black box writes EVERY turn into SQLite (a Stop hook), and it survives any crash. Read the last turns:
python "$IMPORTS_ROOT/turnstate/turnstate_show.py" --n 12
From the output pull out: what the operator asked for last · which files were touched · which DECISIONS were made · the next step. That is "where we were cut off". (Flags: --stats, --session <id>, --n N.)
⚠️ Fallback if the box is EMPTY (turnstate_show.py --stats shows turns: 0 — it happens when the Stop hook hasn't fired yet after a Claude Code restart; see [[crash-recovery-command]]): do NOT say "there is no data". Derive "where we were" from the LAST session — its full seed is already assembled in step 3 (_Dashboards/sessions-md/_continue/<cli>.seed.md): read the TAIL of that file (the last 1-2 human→assistant exchanges) and pull the task plus the last step out of them. So with an empty box, step 1 leans on the result of step 3.
Three fast deterministic checks:
python "$IMPORTS_ROOT/arch/arch_status.py"
powershell -NoProfile -ExecutionPolicy Bypass -File "$IMPORTS_ROOT/sync_check\sync_check.ps1"
MCP — IN-SESSION ONLY (⚠️ NOT claude mcp list and NOT a second Telethon client → AUTH_KEY_DUPLICATED logs the account out; memory [[mcp-health-check]]): fire one cheap read call per live server — Telegram mcp__telegram__get_me (expect the work account), WhatsApp mcp__whatsapp__get_my_profile, n8n mcp__n8n__n8n_health_check. If a server's tools are missing from the session, it never loaded (diagnostics live in /mcp).
Assemble this machine's previous human session into a seed → the clipboard (the /resume-last engine):
python "$IMPORTS_ROOT/claude_sessions/continue_session.py" --last
Tell the operator: "Open a New session and hit Ctrl+V — you get the whole conversation back." If it prints clipboard: FAILED, the seed is on disk at _Dashboards/sessions-md/_continue/<cli>.seed.md.
🔄 Resurrection
📍 Where we were: <1-2 lines from TurnState — the task, the last file/decision, the next step>
💚 System: arch <✅/⚠️/🔴> · sync <✅/⚠️/🔴> · mcp <tg ✅ / wa ✅ / n8n ✅>
📋 The previous session's full history is in the clipboard (New session → Ctrl+V).
➤ Continue from: <the next step>?
Then a 🧒 "In plain words" line (memory [[eli5-always]]).
/arch / /sync-check / /mcp separately.1, so /1 works natively; /! is an alias trigger (a special character can't be a folder name): when you see /!, run this same skill.python3; with a non-standard vault path — env CLAUDE_VAULT_ROOT=<...>.Memory [[crash-recovery-command]]. Building blocks: [[turnstate-ledger]] (the black box), [[claude-desktop-sessions-per-account]] (continue_session), [[system-architect]] (/arch), syncthing-desktop-laptop-sync (/sync-check), [[mcp-health-check]] (/mcp). Paired with the SessionStart hook session_resume_hook (that one shows the previous session at startup on its own — this one gathers recall + health + full history on command).
Like this skill? It is one of 100 in 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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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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LLM-judge stage of an alpha-mining pipeline: take a miner's deterministic candidate list, keep only real signal, drop noise, and propose additions to that miner's curated note. Use after any zero-token detector run. Reads only the candidate digest and the home note, never the corpus. Triggers: "/alpha-judge <miner>", "judge the candidates".
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