Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Start a new private GitHub project the AOS way: create the private repo, bootstrap AOS (project card, AGENTS.md, wiki, memory, CI choice), push after GO, and confirm the first CI run is green and the repo is still private. Use for "new project", "start a repo", "bootstrap a project".
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安装前可以查看交给 AI 代理的指令内容。
What you get: a private GitHub repo with AOS bootstrapped, pushed, and a first CI run checked.
upstream, asked in step 1production_artifacts/pb-project-new-<date>.md, never committed) — all answered<local_folder> (cd there first; the clone lands in <name>/), gh repo create <owner>/<name> --private --clone → repo and local clone — The run stops here until the human types GO.gh repo view <owner>/<name> --json visibility -q .visibility → value in the run log — must equal PRIVATE; otherwise fail-stop: write the value to the run log, tell the user, push nothing, and do not delete or change the repo (destructive actions need the user's confirmation)git remote add upstream <url> — git remote -v shows it; never push to upstream (no gh repo fork: a fork of a public repo cannot be private).aos/project.json, AGENTS.md and symlinks, OpenWiki, memB project card, Synapse, CI choice (it may create triage labels and write ../WORKTREE.md; aos-project-init asks for its own write-list approval) — doctor rows green or exceptions named, .openwiki/ present; accept aos-project-init's own commit if it makes one, step 6 commits only what is left, never the run logchore: bootstrap AOS project — remaining bootstrap files → SHA — commit succeeds (any hook failure is reported, never bypassed with --no-verify) (skip if nothing is left)git branch -M main, then git push -u origin main — SHA → remote — The run stops here until the human types GO.success; if red, hand over to /pb-ci-fix from its step 1 (it has its own GO); then re-run the step 3 check — still PRIVATERun log: production_artifacts/pb-project-new-<date>.md in the start directory, outside the new repo
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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