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 task should repeat on a schedule or until a condition holds (CI until green, follow a PR to merge, review rounds until no blockers, daily session summary). Ships ready prompt templates with run and duration limits, stop conditions and go-gate safety rules, and per-harness loop invocation.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Reference prompts for /bdb-aos:loop. Pick a template, fill the placeholders, hand it to the harness loop mechanism.
| Template | File | Max runs / duration |
|---|---|---|
| CI until green | references/ci-until-green.md | 10 / 2 h |
| Follow a PR to merge | references/pr-to-merge.md | 20 / 4 h |
| Review rounds until no blockers | references/review-rounds.md | 5 / 3 h |
| Daily session summary | references/daily-summary.md | 7 days |
/loop <interval> <prompt>; omit the interval to let the model self-pace.opencode-loop, an opt-in package (AOS_OPENCODE_OPTIONAL=loop, see docs/opencode-setup.md). Do not schedule gated commands through its shell loop./goal with the filled template as the goal. Codex has no /loop. Codex /goal is unverified in AOS docs; confirm with codex --help.gogate, never sets a mode or grant.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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