agent-team-orchestration

Coordinate multi-agent task workflows with role assignments, handoffs, and review checkpoints.

Updated Feb 16, 2026
One-click install
npx skills add https://github.com/wewetv1987-cell/openclaw-backup --skill agent-team-orchestration-wewetv1987-cell
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-team-orchestration
Source: https://github.com/wewetv1987-cell/openclaw-backup/tree/main/skills/agent-team-orchestration
Command: npx skills add https://github.com/wewetv1987-cell/openclaw-backup --skill agent-team-orchestration-wewetv1987-cell

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps teams coordinate multiple AI agents without losing track of responsibilities, task state, artifacts, or review checkpoints.

Core Features & Use Cases

  • Role Design: Separate orchestrator, builder, reviewer, and ops responsibilities so each agent has a clear job.
  • Task Lifecycle Management: Move work through inbox, assigned, in progress, review, done, or failed states with explicit comments and ownership.
  • Handoff and Review Protocols: Standardize what each handoff includes, how artifacts are shared, and how cross-role verification prevents quality drift.
  • Use Case: Run a spec-to-build workflow where one agent writes the spec, another builds the deliverable, a reviewer checks it, and the orchestrator tracks completion.

Quick Start

Use this skill to define your agent roles, set the task lifecycle, and establish handoff and review rules for a multi-agent workflow.

Frequently Asked Questions about agent-team-orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I coordinate multiple AI agents without losing track of task state and artifacts?

Multi-agent orchestration separates orchestrator, builder, reviewer, and ops responsibilities, assigning each agent a clear job. It standardizes handoffs and artifact sharing to maintain task ownership and prevent quality drift across cross-role verification checkpoints.

What is the best way to set up a spec-to-build workflow with AI agents?

The best way to run a spec-to-build pipeline is assigning one agent to write the spec, another to build the deliverable, a reviewer to check it, and an orchestrator to track completion through explicit task states and review checkpoints.

How does a handoff protocol work for multi-agent teams?

Handoff protocols standardize what each transition includes, define clear artifact paths, and require cross-role verification. This ensures work moving between agents remains auditable with explicit ownership and comments throughout the task lifecycle.

Do I need defined task states to manage sustained agent operations?

Yes, managing sustained team operations requires defined task states like inbox, in progress, and failed, along with clear artifact paths. These shared communication conventions keep scheduled ops and escalations auditable and recoverable.

Can I use this for parallel research and escalation handling with AI agents?

Yes, this multi-agent orchestration applies to sustained team operations like parallel research and escalation handling. By applying shared communication conventions and cross-role verification, the task lifecycle ensures work remains auditable and recoverable.