Find a person, lead, contact or company by name in any spelling: a deterministic search that catches transliteration across alphabets, wrong-keyboard-layout typing and typos. This is the exact-name lane (zero tokens), complementary to semantic vault search. Triggers: "/find <name>", "show everyone named <X>".
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安装前可以查看交给 AI 代理的指令内容。
🧒 When reporting to a non-technical operator: end with a child-simple "In plain words" recap in their language.
Deterministic, 0 tokens — NOT RAG. Embeddings do not understand mangled spellings, typos or a wrong keyboard layout; that is caught by separate code using phonetic fingerprints + fuzzy comparison. For search by MEANING use /ask, not this.
"find Viktor" · "all the Viktors" · "find the company Merlion" · "who is <name>" · wrong-layout gibberish / typos / transliteration — any PERSON, lead, contact or COMPANY name in any spelling.
PYTHONUTF8=1 — otherwise a cp1252 crash on the Windows console)PYTHONUTF8=1 python "$IMPORTS_ROOT/namesearch/find_name.py" <name> [--html] [--all]
--all — also include the note titles of the whole vault--html — a visual dashboard in _Dashboards\Name-Search-*.html (the operator works visually — offer it for long lists)A name written in its native script produces a clean query; a wrong-layout or typo'd query is expanded automatically.
expand_query.py <word> [--grep] [--line] — expand a word into every spelling, for grepping the vault or feeding into /ask (the RAG hook).names.db index is rebuilt by a weekly task (and manually via name_index.py --vault). If something is missing right after a big import, mention that a rebuild is due; do not run it unasked.--html dashboard./ask = by meaning (RAG, embeddings). /find = by spelling (a deterministic fingerprint). Canon memory [[smart-name-search]].
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.
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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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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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