跳到正文
cccskills
免费在 GitHub 公开

pb-machine-setup

Bring a new machine to a verified AOS installation: read-only doctor baseline, install after GO, MCP servers wired per harness with the configs backed up first, memB and OpenWiki checks, and a second doctor run for the delta. Use for "set up this machine", "onboard a new computer", "install AOS on this laptop".

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md4.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

New machine to a verified AOS install

What you get: a machine with AOS, MCP servers, hooks, memB and OpenWiki installed and checked by the doctor, with a before-and-after report and a backup of every harness config that was edited.

Inputs

  • machine_role — dev, show or server, asked if missing; a server skips the desktop-only rows (LaunchAgents, Synapse) and logs that choice
  • harnesses — the harnesses to wire (Claude Code, Antigravity, Codex, OpenCode, Cursor, Roo), asked if missing; only these are touched

Steps

  1. aos-setup (Measure) — command -v node (Node 22 or newer, else stop with an install hint), then the doctor read-only, exactly as the aos-setup skill gives it: node skills/global_config/aos-setup/scripts/aos-doctor.mjs from the AOS repo, or node ~/.claude/skills/aos-setup/scripts/aos-doctor.mjs from an installed copy → baseline table (failing rows with their fix commands) in the run log — doctor ran, exit code and failing-row count logged; nothing was installed or edited. Then the backup: copy every harness config of the chosen harnesses (for example ~/.claude.json, ~/.gemini/config/mcp_config.json, ~/.codex/config.toml, opencode.jsonc) into production_artifacts/pb-machine-setup-<date>/config-backup/ and log the copied paths; a config that is missing is logged, not created — backup files exist before step 2, because the installer itself rewrites the harness configs
  2. [GO] install — the install or update commands aos-setup section 3 gives for the harnesses chosen, for example npx -y @hybridlabor-api/aos@latest — the WAITING FOR GO line shows the exact command, the harness list and the backup path (and the installer's --dry-run output if aos-setup section 3 offers it). The run stops here until the human types GO. The hook does not guard npm installs, so this GO is the only guard; the installed aos binary is never run to inspect the version (it starts the full installer and rewrites harness configs).
  3. mcp-manage — chosen harnesses → wire the MCP servers the machine_role needs per harness → server list per harness in the run log — this step never edits a config that step 1 has not backed up; a missing config is logged, not created blind
  4. memb-skill and openwiki-skill — memB engine, MCP registration and ambient hook; OpenWiki CLI, ~/.openwiki/.env credentials and refresh daemon → check results in the run log — each check passes or is logged with its fix hint from aos-setup; credentials are never written into the run log
  5. aos-setup (Verify) — the doctor again, same command as step 1 → delta (fixed, still failing, new) in the run log — zero failing rows, or each remaining one logged with its fix hint and a note whether it is deliberate for this machine_role

Run log: production_artifacts/pb-machine-setup-<date>.md in the start directory, never committed; the config backups are never committed

Rules

  • Anything other than the literal GO (case-insensitive) is not a GO; a GO covers only that one step, one time.
  • A failed check stops the run: write the failure into the run log and report. No silent retries.
  • Write one run-log line per step as it completes (N. done|skipped|failed — artifact — check result) and WAITING FOR GO: <step> at each gate.

评价

还没有评价。欢迎分享你的使用感受。

评论

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。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

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.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

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.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

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.

中文简介正在准备中。当前显示原文说明。

hybridlabor-api/aos62026年10月16日 更新

查看 hybridlabor-api 的全部技能

报告此技能的问题