Audit recent agent work for recurring manual patterns that have no skill yet, cross-check against installed skills and public skill catalogs (installing beats building), and propose the top two or three as before/after. Read-only analysis. Triggers: "/skill-gap", "what skills should I build", "audit my skills".
中文简介正在准备中。当前显示原文说明。
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. (memory
eli5-always)
Finds the gap between what the operator DOES (recurring manual work across sessions) and what they HAVE (installed skills), and proposes the highest value × frequency new skills. Read-only; proposes, never auto-builds. Mirror of [[evaluate-recurring-into-routine]] (that catches one task → routine; this scans the whole fleet of sessions → skill gaps).
mcp__ccd_session_mgmt__list_sessions (limit ~60) — session TITLES are the agenda; cluster them by theme. Don't read every transcript; use titles + memory. (Full-text search_session_transcripts needs the operator's approval — only if a cluster is ambiguous.) ⚠️ This only sees THIS machine's sessions; with the cross-machine relay live ([[machine-migration]], skill inbox) a pattern from another computer is invisible here — note the current-machine label and don't assume the gap is global.$USERPROFILE/.claude/skills/*\SKILL.md. Also note scheduled routines that have NO manual skill twin./inbox / the relay).$OBSIDIAN_VAULT/_Dashboards/Skill-Gap-Audit.html (the operator works by eye, [[prefer-visual-dashboards]]).Scheduled twin skill-gap-daily runs this read-only and updates the dashboard + drops a one-line note if a NEW gap appeared since yesterday (don't nag if nothing changed). Grunt drafting → Sonnet; the judgment/ranking → keep on the session model ([[model-routing-sonnet-grunt]]).
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.
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
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.
中文简介正在准备中。当前显示原文说明。
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".
中文简介正在准备中。当前显示原文说明。
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".
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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".
中文简介正在准备中。当前显示原文说明。
- 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“
中文简介正在准备中。当前显示原文说明。