Squeeze three to five durable lessons out of the owner's own words from the last seven days into a weekly note in the insights folder. The LLM reads only a collector's digest, never the raw corpus. Triggers: "/wisdom-distill", "distill my week", "weekly wisdom".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
🧒 When reporting to a non-technical operator, end with an "In plain words" recap in their language.
python "$IMPORTS_ROOT/wisdom_week_gather.py" (or ... 14 for a 14-day window) ->
notes marked origin: anton/#anton-original inside the window (date field, mtime as fallback), excluding
_originals/_imports/_Dashboards, capped at 60 x 500 chars -> $IMPORTS_ROOT/_wisdom_week_digest.md.
The LLM reads only the digest, never the corpus.
From the digest, pull 3-5 durable lessons of the week (each must survive a month; "how the owner now thinks/decides"). Format: the lesson in one line in the owner's voice · Source: [[note-a]], [[note-b]] (2+ = stronger) · What it changes: which decision it will show up in. Drop transient items, other people's ideas, the self-evident. Thin week (<3) — say so plainly, do not invent.
Note: $OBSIDIAN_VAULT/03-Insights/insight-weekly-wisdom-YYYY-Www.md Frontmatter: title, date, type: insight, origin: anton, authored_by: hybrid, tags: [insight, weekly-wisdom, anton-original], summary. Link the sources (no-orphan-notes-rule); if beliefs are touched, link the matching belief-* note. NO 🧒 block inside the note.
Cron wisdom-distill-weekly: Sunday 23:20 local time (routines-run-at-night). Gatherer ->
distillation (top-model subagent) -> note -> announcement in the fleet log chat (bus_ping.py --post).
The manual twin is this skill. Single source of truth = wisdom_week_gather.py.
Active-brain map A-E: item D · /five-hard (monthly) · /precedent (decisions) · recurring_scan.py (the whole corpus) · vault-backup-rule · model-routing (synthesis -> top model).
<!--kit-footer-->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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
- 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“
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.