Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Publish a project's docs as a static HTML manual on GitHub Pages: check that Pages is enabled, bring the wiki up to date, list the doc gaps, build the site, preview it locally and push it after GO. Use for "publish the docs", "docs site", "put the manual on GitHub Pages".
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安装前可以查看交给 AI 代理的指令内容。
What you get: the project's docs as a static HTML manual on GitHub Pages, pushed only after your GO.
<owner/repo> comes from git -C <repo> remote get-url origindocs/gh auth status, then gh api repos/<owner>/<repo>/pages → run log header — gh missing, unauthenticated or no GitHub remote → log it, give the gh auth login / remote hint, stop; 404 → stop with "Pages not enabled: enable it in repo settings", this playbook does not enable Pages; a private repo whose Pages call is refused for plan reasons → stop with "Pages on a private repo needs a paid plan", and never change the repo's visibility. Then openwiki-skill — wiki refreshed or confirmed current → log line — Pages answered and the wiki is currentsource against the code → list of doc gaps in the run log — stops for approvaldocs/ (or the Pages source path the step 1 response names) — files written, nothing committed; the skill's Pages build-type switch (gh api -X PUT .../pages) and its Pages deploy workflow are NOT run here, only the site files are writtenindex.html in the run log — link or path givengit push; it does not cover gh api settings writes, so no Pages setting or workflow is changed in this playbook.gh api repos/<owner>/<repo>/pages -q .status equals built (poll, at most 5 minutes), then curl -sI <pages_url> → status line in the run log — returns 200Run log: production_artifacts/pb-docs-site-<date>.md in the start directory, never committed
Rules
N. done|skipped|failed — artifact — check result) and WAITING FOR GO: <step> at each gate.还没有评价。欢迎分享你的使用感受。
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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