Ask the second brain in plain words: semantic search over the curated vault with embeddings plus a reranker, returning the smallest relevant slice instead of a corpus dump. Token-cheap. Triggers: "/ask <question>", "what do I have on <topic>", "what did I write about X".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
🧒 When reporting to a non-technical operator: end with a child-simple "In plain words" recap in their language.
Deterministic-first (the operator's token law): RAG retrieves the smallest relevant slice; synthesize ONLY that — never dump the corpus.
Wrong lane? /ask = semantic MEANING over the curated vault. For exact WORDS inside chats → /search; an exact PERSON name → /find; a CHAT by name → /chat (all 0 tokens, deterministic). Use those when the question isn't conceptual.
For interactive eyes-on search: python "$IMPORTS_ROOT/ask_server.py" (or start_ask.bat) → open http://127.0.0.1:8770. It loads e5 + reranker ONCE, after which each query takes ~3s. A search box + filter chips (my writing only / concepts / insights / leads / people / conversations / notes), cards with the rerank score, type, date and a ⏳ staleness flag. CPU by default (does not fight the GPU fleet, holds 0 VRAM); --gpu when the GPU is free. This is the GUI for the operator; --ask below is for me synthesizing an answer in chat.
python "$IMPORTS_ROOT/brain_ask.py" "<question>"
Scope with filters (cheaper + sharper):
--anton (only the owner's own writing) · --concepts (distilled "what I think about X") · --insights--person <name> · --conv (conversations) · --leads (CRM)
Returns top-K chunks (chunked + tagged + edit-aware index); may flag ⚠ STALE on volatile facts >90d.⚠ STALE, say so and offer to re-verify (per the epistemic-decay layer).The index is kept fresh by the reindex routine. If results feel stale right after a big import, mention a reindex may be due (brain_embed_update.py) — but don't reindex unprompted.
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.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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.
日本語の概要は準備中です。原文の説明を表示しています。
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".
日本語の概要は準備中です。原文の説明を表示しています。
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".
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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".
日本語の概要は準備中です。原文の説明を表示しています。
- 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“
日本語の概要は準備中です。原文の説明を表示しています。