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/ai-team-orchestration

@7968055 official
by githubgithub/awesome-copilot40k stars
5,040

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.

Use this Skill: https://skilld.dev/gh/github/awesome-copilot/ai-team-orchestration

This session only. Nothing lands on disk.

referencesanti-patterns.md

≈639 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Anti-Patterns

Avoid Prefer Why
One agent owns planning, implementation, testing, and approval Keep Producer, Dev, and optional QA responsibilities distinct Independent perspectives reduce blind spots without requiring ceremony for every change.
Hardcoded tool or model allowlists Inherit the developer's enabled tools and selected model Extensions and MCP tools remain available without plugin updates.
A mandatory process for every change Scale planning, review, and QA to risk Small changes stay fast; high-impact changes receive more scrutiny.
Universal Git command recipes Follow repository contribution and branch policy Projects use different remotes, protections, and merge strategies.
Rewriting shared history or discarding unknown work Preserve work and coordinate destructive actions Parallel sessions and contributors may depend on existing state.
Large plans that duplicate project documentation Record only outcomes, constraints, decisions, and next actions Concise context is easier to maintain and recover.
Bugs and decisions kept only in chat Use the repository's issue tracker and durable context Future sessions can discover them.
QA fixes application source QA reports behavior; Dev implements fixes Separation preserves independent verification.
Treating every automated suggestion as a requirement Assess relevance, confidence, scope, and practical risk Review should improve the product, not expand scope without limit.

Role responsibilities (Do / Don't)

  • Producer

    • Do: Clarify outcome, constraints, acceptance criteria, and explicit exclusions; coordinate reviewers and merge policy.
    • Don't: Implement or ship code changes that should be reviewed by Dev.
  • Dev

    • Do: Implement the smallest complete solution, run listed verification, include tests, and prepare the PR with verification steps.
    • Don't: Merge without required checks, failing tests, or without documenting risks and decisions.
  • QA (optional)

    • Do: Independently verify behavior, file reproducible issues, and confirm fixes after Dev applies them.
    • Don't: Modify application source as a shortcut for failing verification — report and hand back to Dev.

Decision logging guidance

  • Record material decisions in a DECISIONS.md or the repository issue tracker with: title, date, owner, decision summary (1 line), rationale, and link to related PR/issue.
  • Keep entries short and searchable; record the next action when a decision defers work.

Source: SKILL.md on GitHub

1 warning16d3 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill facilitates multi-agent development orchestration. It identifies a potential risk of indirect prompt injection as it instructs agents to read and follow external repository documentation and issues without explicit safety boundaries or sanitization.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: MEDIUM · 1 issue

Signed by skilld at 7968055. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 2 months ago
  • Testing
  • multi-agent
  • orchestration
  • sprint-planning
  • team-coordination
  • github
  • project-management
  • ai-workflow

README badge

README badge for github/awesome-copilot/ai-team-orchestration

Orchestrates parallel AI agent teams (dev, QA, DevOps, design) across separate VS Code clones to execute multi-sprint software projects from brainstorm through deployment. Uses a human coordinator role, shared PROJECT_BRIEF.md for context continuity, and GitHub Issues for cross-chat handoffs to prevent context collapse.

Generated from the current SKILL.md.

Does this skill work with Claude or other AI models?
The skill is model-agnostic and designed for any AI coding agent. It uses role-based prompts and chat architecture that work across Claude, other LLMs, or mixed-model teams.
Can I use fewer than seven agent roles?
Yes. The skill explicitly states 'Not every project needs all roles.' Customize names and roles based on your project's actual needs.
How does context survive between separate AI chats?
Through three documents kept in version control: PROJECT_BRIEF.md (single source of truth), docs/sprint-N/progress.md (live tracker), and docs/sprint-N/done.md (handoff doc). Each chat reads these before continuing.
Do I need separate git clones for each team?
Yes. The skill prescribes separate VS Code windows with separate clones (project-dev, project-qa, project-devops) so teams work in parallel without merge conflicts during execution.
What happens when a chat exceeds context limits?
Save progress to docs/sprint-N/progress.md and PROJECT_BRIEF.md, then start a fresh chat. The cold-start prompt reads these files to resume work without losing state.

Generated from the current SKILL.md. These answers refresh after source changes.