Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Hand work down the chain master session, project orchestrator, package orchestrator. Use when the human asks how to split work across levels, which channel connects them, or what each level may do. A convention mapped onto existing mechanisms, not a new tool. GO is never inherited.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
master session -> project orchestrator -> package orchestrator is a convention. No code names the project or package level. Each hop maps onto a mechanism that exists. Full reference: docs/orchestrator-chain.md.
| Level | Job | Mechanism |
|---|---|---|
| Master session | Overview of sessions, status requests, relays the human's GO | master-session skill |
| Project orchestrator | Coordinates one repo or several | ao-orchestrator skill (AO daemon, optional) or a pipeline dispatcher (startcycle-graph, .agents/graph.md) |
| Package orchestrator | Runs one slice of that repo | an aos-acp worker, an aos-a2a peer, or a pipeline build node |
aos-acp (docs/delegation-routing.md, master-session skill).aos-a2a send --to <name>, answered with aos-a2a reply <taskId> (aos-a2a skill).mcsc.GO <session-name> in the master and the worker's gate consumes a single-use token (younger than 10 minutes). A worker does not reuse its parent's GO.AOS_A2A_MAX_DEPTH (default 1). mcsc is one level deep. Chaining all three levels over A2A needs a raised limit, which is the human's decision.AOS_A2A_SIDECAR=off for spawned workers so they start no sidecar of their own.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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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