tonydzi/second-brain-starter-kit/ask
Claude Code and agent skill by tonydzi/second-brain-starter-kit
- community
Checking that the SKILL.md file is still in the repository.
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".
Install
npx vskill@latest install tonydzi/second-brain-starter-kit/askSKILL.md
/ask — query the Second Brain
🧒 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.
🖥️ Visual search (a live server — the operator works visually)
For interactive eyes-on search: python "$IMPORTS_ROOT/ask_server.py" (or start_ask.bat) → open http://127.0.0.1:8770. It loads e5 + reranker ONCE, after which each query takes ~3s. A search box + filter chips (my writing only / concepts / insights / leads / people / conversations / notes), cards with the rerank score, type, date and a ⏳ staleness flag. CPU by default (does not fight the GPU fleet, holds 0 VRAM); --gpu when the GPU is free. This is the GUI for the operator; --ask below is for me synthesizing an answer in chat.
Run (CLI — for synthesizing an answer in chat)
python "$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.
Answer
- Synthesize the returned hits into a DIRECT answer; cite the note titles so the operator can open them.
- If a hit is
⚠ STALE, say so and offer to re-verify (per the epistemic-decay layer). - If retrieval is thin/irrelevant → say so, suggest a sharper query or a filter; do NOT pad with guesses.
- Keep it tight; end with 🧒 recap.
Note
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.
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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.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/ask/SKILL.md
Popularity
- Repository stars
- 8
- Repository forks
- 2
- 7-day trend score
- 11
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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