github/ai-team-orchestration
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.
npx skills add https://github.com/github/awesome-copilot --skill ai-team-orchestration
Use three stable agents:
| Agent | Purpose |
|---|---|
| @ai-team-producer | Clarify scope, plan proportionately, coordinate, and merge |
| @ai-team-dev | Implement, test, self-review, and prepare the pull request |
| @ai-team-qa | Independently test behavior when dedicated QA is useful |
Nova, Sage, and Milo are perspectives inside the Dev agent, not mandatory project layers.
Plan -> Implement -> Test -> optional review or QA -> Merge -> update project state
Keep the workflow proportional:
PROJECT_BRIEF.md only when durable cross-session context is useful. Start from the project brief template and omit irrelevant sections.Use the brainstorm format for product or architecture decisions that benefit from competing perspectives. For ordinary implementation choices, let Dev decide using repository conventions.
Before ending a long or interrupted session:
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.
The bundled agents intentionally omit tools and model frontmatter:
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.
Take github/ai-team-orchestration from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.