Guide · Agent skill
How to use the AI Team Orchestration agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The ai-team-orchestration skill is a set of instructions that teaches an AI coding agent to organize software work like a small team, with a producer, a developer and an optional QA role. It is for developers adopting an existing repository, solo developers running multi-step features, and teams that want a proportionate process. After this guide you will know what the skill changes about the agent's behaviour, how to install it, how to ask for it in plain language, and what to check before using it.
AI Team Orchestrationgithub/awesome-copilot · MIT Download the skill Quick start
- 1Download the ZIP. Get the ai-team-orchestration ZIP from this page.
- 2Unzip into a skills folder. Extract it into ~/.claude/skills/ for personal use or into a project's .claude/skills/ folder.
- 3Or upload in the Claude apps. Go to Settings → Capabilities → Skills and upload the skill.
- 4Ask for the work in plain language. Describe the project, feature or decision you need help with and any constraints.
- 5Let the agent map the project. For an existing repository, have it read instructions and discover the stack and commands before changing code.
- 6Save context before stopping. Ask the agent to update the plan or progress note and record the next action.
- 7Resume with a cold-start prompt. In a new session, use the bundled prompt to read the brief, plan and next action first.
What an agent skill is and what this one changes
An agent skill is a folder with a SKILL.md file that gives an AI agent extra instructions it can load when a task matches. This skill, named ai-team-orchestration, is about how the agent organizes software work rather than what code it writes.
It defines three roles. The Producer clarifies scope, plans proportionately, coordinates and merges. The Dev implements, tests, self-reviews and prepares the pull request. The optional QA role independently tests behavior when dedicated testing adds value. Nova, Sage and Milo are perspectives used inside the Dev role during brainstorms, not required separate layers.
- Default workflow: Plan, Implement, Test, optional review or QA, Merge, then update project state.
- Small, obvious changes skip formal planning; multi-step or cross-cutting work gets a short plan.
- Merge rules are left to branch protection, required checks, permissions and merge queues in the repository.
Install the ai-team-orchestration skill
Download the ZIP for the skill from this page. Unzip it into one of two locations: ~/.claude/skills/ to make it available across your projects, or a project's .claude/skills/ folder to share it with that repository only.
In the Claude apps, you can instead upload the skill under Settings → Capabilities → Skills.
- Personal install: unzip into ~/.claude/skills/
- Project install: unzip into .claude/skills/ inside the repository
- Claude apps: Settings → Capabilities → Skills, then upload
Trigger the skill with natural requests
You do not need a special command. The skill's description tells the agent when to use it, so ask for work in the situations it covers: starting or adopting a project, planning work, coordinating implementation and optional QA, brainstorming with distinct perspectives, or preserving context across sessions.
Name the outcome and any constraints. The more specific the request, the easier it is for the agent to scope the work.
- Adopting a repo: "Learn this repository's stack and commands before we change anything."
- Planning a feature: "Plan this multi-step change, then implement it and open a pull request."
- Handoff: "Before we stop, record the decisions and next action so we can continue tomorrow."
- Brainstorm: "Brainstorm the architecture options for this feature with distinct perspectives."
Use the project brief and plan files
When durable context is useful, the agent creates or updates PROJECT_BRIEF.md in the repository, starting from the bundled project brief template and leaving out irrelevant sections. For substantial work it writes a concise plan from the sprint plan template.
To resume later, start a new session with a cold-start prompt. The skill suggests asking the agent to read the repository instructions, then the active request, PROJECT_BRIEF.md and the active plan or progress note, and to continue from the recorded next action.
- PROJECT_BRIEF.md: goal, scope, stack, key files, how to work.
- Plan file: outcomes, constraints and acceptance criteria rather than a duplicate of project docs.
- Brainstorm output: follows the bundled brainstorm format.
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.Safety notes: scripts, network and permissions
This skill runs no scripts and uses no network access, and it lists no required dependencies. It does not add a tool or model allowlist; the agents inherit the tools and model you have enabled.
The skill tells the agent to preserve unknown work and to ask before destructive or privileged actions. Its effect on what the agent can do still depends on your normal trust, permission and approval settings, so review those before letting it run commands or merge changes.
- Runs scripts: no
- Uses network: no
- Requires: nothing listed
- Check your tool permissions if your environment exposes many MCP servers; you can deselect ones you do not need.
Tips for getting good results
Let the agent map the repository first, so its plan uses the real commands rather than guesses. Keep requests proportionate: the skill itself asks for lightweight process on small changes.
Store decisions in the repository, not only in chat, so a later session can read them.
- Skip the skill for quick one-off edits or scripts; the structure adds overhead.
- Ask for QA only when behaviour needs independent testing.
- Reserve brainstorms for product or architecture decisions, not routine implementation choices.
What people use it for
- Mapping an unfamiliar repository's stack, architecture and test commands before a first change.
- Planning and implementing a multi-step feature, ending with a pull request that lists verification and limitations.
- Running an independent QA pass on a risky behavioural change.
- Brainstorming competing architecture options with distinct perspectives before committing to one.
- Pausing a long refactor and resuming it in a later session from PROJECT_BRIEF.md and the plan file.
Frequently asked questions
Is the ai-team-orchestration skill free?
The skill is published under the MIT licence in the github/awesome-copilot repository. The source does not mention pricing, so check your own Claude plan for any costs of using the agent itself.
What do I need to install it?
The source lists no required dependencies, runs no scripts and uses no network access. You need an environment that supports agent skills, such as Claude with a ~/.claude/skills/ folder or the Settings → Capabilities → Skills upload.
Where do I put the skill files?
Unzip the downloaded ZIP into ~/.claude/skills/ for all your projects, or into a repository's .claude/skills/ folder for that project only. In the Claude apps you can upload it under Settings → Capabilities → Skills.
How do I trigger the skill?
Describe a task that matches its purpose, such as adopting a project, planning multi-step work, coordinating QA, brainstorming, or resuming a session. There is no special command in the source.
Does it work on simple edits?
It is designed not to. The skill says to skip formal planning for small, obvious changes, so for a quick one-off edit or script it adds overhead without benefit.
How does it compare to a fixed, audited process?
It is lightweight and leaves merge rules to your repository settings and the agent's judgment. If you need a fixed, audited process, enforce it with branch protection and required checks rather than relying on this skill alone.
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Our verdict
Use this skill if you are adopting an existing repository, running multi-step features solo, or want a lightweight process with handoff notes kept in the repo. Pick something else for quick one-off edits, non-software writing or research help, or any workflow that must follow a fixed, audited process.
Download the skill