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Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.
| Agent | Name | Role | Focus |
|---|---|---|---|
| Producer | Remy | Sprint planning, coordination, merging PRs | Scope control, handoffs, issue triage |
| Product Designer | Kira | UX, mechanics, user experience | Fun factor, user flows, feature design |
| Visual/Art Director | Milo | CSS, animations, visual identity | Design system, polish, accessibility |
| Frontend Engineer | Nova | UI framework, state management, components | React/Vue/Svelte, client-side logic |
| Backend Engineer | Sage | API, database, auth, security | Server-side logic, infrastructure |
| DevOps Engineer | Dash | CI/CD, cloud deployment, pipelines | GitHub Actions, Azure/AWS/GCP |
| QA Engineer | Ivy | E2E tests, automation, playtesting | Playwright/Cypress, bug filing, sign-off |
npx skills add github/awesome-copilot --skill ai-team-orchestrationHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
Clear and well structured, with only minor parts that might need a second read.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
Mostly actionable with clear steps; only a few small gaps remain.