/wisdom-distill — the wisdom of the week
🧒 When reporting to a non-technical operator, end with an "In plain words" recap in their language.
Run (deterministic first — 0 tokens)
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.
Distill (top model — synthesis, not grunt work)
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.
Save (backup-first: vault_backup.py)
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.
Scheduled twin
Cron wisdom-distill-weekly: Sunday 23:20 Lisbon (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.
Related
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).
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.