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ai-team-orchestration 精选

Bootstrap and run a lightweight multi-agent development team. Use when starting or adopting a project, planning work, coordinating implementation and optional QA, brainstorming with distinct perspectives, or preserving context across sessions.

在 GitHub 打开

安装方式

cp -r skills/ai-team-orchestration ~/.claude/skills/ai-team-orchestration

把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/

整仓一次性获取:git clone --depth 1 https://github.com/github/awesome-copilot.git

依赖与权限

  • 无需 API Key
  • 无需联网
  • 依赖外部命令:git
  • 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
触发场景
startingadopting a projectplanning work

SKILL.md 正文

来源 github/awesome-copilot@70ddff7 · 许可 MIT · 内容未修改

AI Team Orchestration

Use three stable agents:

AgentPurpose
@ai-team-producerClarify scope, plan proportionately, coordinate, and merge
@ai-team-devImplement, test, self-review, and prepare the pull request
@ai-team-qaIndependently test behavior when dedicated QA is useful

Nova, Sage, and Milo are perspectives inside the Dev agent, not mandatory project layers.

Default Workflow

Plan -> Implement -> Test -> optional review or QA -> Merge -> update project state

Keep the workflow proportional:

  • Skip formal planning for small, obvious changes.
  • Use a short plan for multi-step or cross-cutting work.
  • Add independent review or QA when risk, uncertainty, or repository policy justifies it.
  • Let branch protection, required checks, permissions, and merge queues enforce repository merge policy.

Start or Adopt a Project

  1. Read existing repository instructions and documentation.
  2. Discover the actual stack, architecture, commands, deployment model, and risks.
  3. Create or update PROJECT_BRIEF.md only when durable cross-session context is useful. Start from the [project brief template](./references/project-brief-template.md) and omit irrelevant sections.
  4. For substantial work, create a concise plan from the [sprint plan template](./references/sprint-plan-template.md).
  5. Use a separate branch or clone when parallel sessions could conflict, following the repository's own Git policy.

Execute

Producer

  • Define the outcome, constraints, acceptance criteria, and explicit exclusions.
  • Choose review and QA based on risk rather than ceremony.
  • Keep durable project state concise and current.

Dev

  • Follow repository conventions and implement the smallest complete solution.
  • Run relevant checks and inspect the final diff.
  • Open or update the pull request with summary, verification, and limitations.

QA

  • Use only when dedicated behavioral verification adds value.
  • Test the requested change and important regressions.
  • Report reproducible findings and verify fixes.

Brainstorms

Use the [brainstorm format](./references/brainstorm-format.md) for product or architecture decisions that benefit from competing perspectives. For ordinary implementation choices, let Dev decide using repository conventions.

Context Recovery

Before ending a long or interrupted session:

  1. Update the active plan or progress note if one exists.
  2. Record material decisions, blockers, and the next action in repository context.
  3. Use a cold-start prompt such as:
Read the repository instructions, then read whichever sources exist for this
work: the active issue or request, PROJECT_BRIEF.md, and the active plan or
progress note.
Continue from the recorded next action.

Tool and Model Inheritance

The bundled agents intentionally omit tools and model frontmatter:

  • available built-in, MCP, and extension tools remain usable;
  • developers keep control of model selection;
  • role boundaries are defined by instructions and normal trust, permission, authentication, and approval controls.

If the environment exposes too many tools, deselect irrelevant tools or MCP servers, or use VS Code virtual-tool management. Do not add a machine-specific plugin allowlist.

Principles

  • Prefer working software and clear handoffs over process artifacts.
  • Follow repository policy instead of embedding universal Git commands.
  • Preserve unknown work and ask before destructive or privileged actions.
  • Keep bugs and important decisions in durable project systems, not only chat.
  • See [anti-patterns](./references/anti-patterns.md) for concise lessons.

质量与来源

所属仓库
github/awesome-copilot
仓库星标
4.0 万
最近更新
今天
采集时间
今天
commit
70ddff7fab9d
内容指纹
sha256:cfc07008fcab5f0
文件路径
skills/ai-team-orchestration/SKILL.md

同仓库其它 Skill

查看全部 50 个
agentic-workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
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code-review
Review pull requests for repository fit, meaningful value, trustworthy provenance, differentiation, and maintainability in awesome-copilot.
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Codex CLIMCP 客户端
create-canvas-extension
Create or register a canvas extension in the awesome-copilot repository. Use when asked to scaffold a new canvas extension, create its plugin.json, add a reusable extension to one or more plugins, or migrate extension metadata. Extensions are reusable source under extensions/; shippable plugin manifests belong under plugins/.
精选 github/awesome-copilot 4.0 万 原文
Codex CLIMCP 客户端
acquire-codebase-knowledge
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
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Codex CLIMCP 客户端
acreadiness-assess
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
精选 github/awesome-copilot 4.0 万 原文
Codex CLIMCP 客户端
acreadiness-generate-instructions
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
精选 github/awesome-copilot 4.0 万 原文
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