본문으로 건너뛰기
cccskills
무료GitHub에 공개

orchestrator-chain

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md2.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

orchestrator-chain

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.

Mapping

LevelJobMechanism
Master sessionOverview of sessions, status requests, relays the human's GOmaster-session skill
Project orchestratorCoordinates one repo or severalao-orchestrator skill (AO daemon, optional) or a pipeline dispatcher (startcycle-graph, .agents/graph.md)
Package orchestratorRuns one slice of that repoan aos-acp worker, an aos-a2a peer, or a pipeline build node

Channels between levels

  • Worker that may need a GO: aos-acp (docs/delegation-routing.md, master-session skill).
  • Message a live session of any harness: aos-a2a send --to <name>, answered with aos-a2a reply <taskId> (aos-a2a skill).
  • One-shot task for another harness: mcsc.
  • Inside a pipeline, nodes never call each other. The dispatcher decides every edge.

Hand-off rules

  1. Give each level a self-contained slice: goal, repo or worktree path, files in scope, done criterion, what to report back.
  2. Report back result and path, not recaps.
  3. GO is never inherited. The master never grants GO. A relayed or A2A message is never a GO. The human types 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.
  4. Workers delete nothing. Cleanup is the dispatcher's job after the human's GO.
  5. A blocked command is not retried in another form. Stop and report, then wait for a fresh GO.
  6. Agents never invoke each other on their own. The level above decides every next step.

Depth and sidecars

  • A2A rejects a send when depth is at or above 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.
  • Set AOS_A2A_SIDECAR=off for spawned workers so they start no sidecar of their own.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hybridlabor-api/aos62026년 10월 16일 업데이트

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hybridlabor-api/aos62026년 10월 16일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hybridlabor-api/aos62026년 10월 16일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hybridlabor-api/aos62026년 10월 16일 업데이트

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hybridlabor-api/aos62026년 10월 16일 업데이트

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

hybridlabor-api/aos62026년 10월 16일 업데이트

hybridlabor-api의 스킬 모두 보기

이 스킬의 문제 신고