agent-team-orchestration
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows.
Skill by LeoYeAI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/leoyeai-agent-team-orchestration
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About
Use cases: productivity, agent-building
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-team-orchestration
What's inside
- Skill name
agent-team-orchestration- Description
- Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
- License
- MIT
- Instructions
- 125 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- communication.md · references/
- patterns.md · references/
- task-lifecycle.md · references/
- team-setup.md · references/
SKILL.md (first lines)
# Agent Team Orchestration Production playbook for running multi-agent teams with clear roles, structured task flow, and quality gates. ## Quick Start: Minimal 2-Agent Team A builder and a reviewer. The simplest useful team. ### 1. Define Roles ``` Orchestrator (you) — Route tasks, track state, report results Builder agent — Execute work, produce artifacts ``` ### 2. Spawn a Task ``` 1. Create task record (file, DB, or task board) 2. Spawn builder with: - Task ID and description - Output path for artifacts - Handoff instructions (what to produce, where to put it) 3. On completion: review artifacts, mark done, report ``` ### 3. Add a Reviewer ``` Builder produces artifact → Reviewer checks it → Orchestrator ships or returns ``` That's the core loop. Everything below scales this pattern. ## Core Concepts ### Roles Every agent has one primary role. Overlap causes confusion. | Role | Purpose | Model guidance | |------|---------|---------------| | **Orchestrator** | Route work, track state, make priority calls | High-reasoning model (handles judgment) | | **Builder** | Produce artifacts — code, docs, configs | Can use cost-effective models for mechanical work | | **Reviewer** | Verify quality, push back on gaps | High-reasoning model (catches what builders miss) | | **Ops** | Cron jobs, standups, health checks, dispatching | Cheapest model that's reliable | → *Read [references/team-setup.md](references/team-setup.md) when defining a new team or adding agents.* ### Task States Every task moves through a defined lifecycle: ``` Inbox → Assigned → In Progress → Review → Done | Failed ``` **Rules:** - Orchestrator owns state transitions — don't rely on agents to update their own status - Every transition gets a comment (who, what, why) - Failed is a valid end state — capture why and move on → *Read [references/task-lifecycle.md](references/task-lifecycle.md) when designing task flows or debugging stuck tasks.* ### Handoffs When work passes between agents, the handoff message includes: 1. **What was done** — summary of changes/output 2. **Where artifacts are** — exact file paths 3. **How to verify** — test commands or acceptance criteria 4. **Known issues** — anything incomplete or risky 5. **What's next** — clear next action for the receiving agent Bad handoff: *"Done, check the files."* Good handoff: *"Built auth module at `/shared/artifacts/auth/`. Run `npm test auth` to verify. Known issue: rate limiting not implemented yet. Next: reviewer checks error handling edge cases."* ### Reviews Cross-role reviews prevent quality drift: - **Builders review specs** — "Is this feasible? What's missing?" - **Reviewers check builds** — "Does this match the spec? Edge cases?" - **Orchestrator reviews priorities** — "Is this the right work right now?" Skip the review step and quality degrades within 3-5 tasks. Every time. → *Read [references/communication.md](references/communication.md) when setting up agent communication channels.* → *Read [references/patterns.md](references/patterns.md) for proven multi-step workflows.* ## Reference Files | File | Read when... | |------|-------------| | [team-setup.md](references/team-setup.md) | Defining agents, roles, models, workspaces | | [task-lifecycle.md](references/task-lifecycle.md) | Designing task states, transitions, comments | | [communication.md](references/communication.md) | Setting up async/sync communication, artifact paths | | [patterns.md](references/patterns.md) | Implementing specific workflows (spec→build→test, parallel research, escalation) | ## Common Pitfalls ### Spawning without clear artifact output paths Agent produces great work, but you can't find it. Always specify the exact output path in the spawn prompt. Use a shared artifacts directory with predictable structure. ### No review step = quality drift "It's a small change, skip review." Do this three times and you have compounding errors. Every artifact gets at least one set of eyes that didn't produce it. ### Agents not commenting on task progress Silent agents create coordination blind spots. Require comments at: start, blocker, handoff, completion. If an agent goes silent, assume it's stuck. ### Not verifying agent capabilities before assigning Assigning browser-based testing to an agent without browser access. Assigning image work to a text-only model. Check capabilities before routing. ### Orchestrator doing execution work The orchestrator routes and tracks — it doesn't build. The moment you start "just quickly doing this one thing," you've lost oversight of the rest of the team. ## When NOT to Use This Skill - **Single-agent setups** — Just follow standard AGENTS.md conventions. Team orchestration adds overhead that solo agents don't need.
From LeoYeAI/openclaw-master-skills, MIT.
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Signals
- Stars
- 2,168
- Forks
- 325
- Open issues
- 13
- Last commit (this folder)
- Mar 12, 2026 (7 months ago)
- Last release
- Jul 20, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- myclaw.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agent-team-orchestration skill. Agent Mart. https://agentmart.dev/skills/leoyeai-agent-team-orchestration (last updated 2026-10-24)