multi-agent-team

Orchestrates a dynamic four-member team with Leadership Council for complex tasks.

1|Updated Jan 30, 2026

Search Tags:#workflow #QA #multi-agent #blockers #leadership #orchestrate #openclaw

Ready to run

npx skills add https://github.com/xdrshjr/JR-Agent-Skills --skill multi-agent-team

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: multi-agent-team
Source: https://github.com/xdrshjr/JR-Agent-Skills/tree/main/multi-agent-team
Command: npx skills add https://github.com/xdrshjr/JR-Agent-Skills --skill multi-agent-team

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill orchestrates a three-role executor team guided by a Leadership Council to coordinate complex tasks, ensuring clear ownership, cross-checks, and timely delivery.

Core Features & Use Cases

Dynamic team assembly for any task type (code, document, research, design) with 3 executors + 1 QA.
Three-domain Leadership Council (Planning, Execution, Quality) for governance, blocking, approvals.
Phase-enforced workflow with 7-phase state machine to prevent skipped steps and ensure user escalation when blocked.
Timeouts, QA validation, and cross-checks to handle blockers and ensure quality before delivery.
Use case: You give a complex project, the system assembles the team, clarifies requirements, executes in parallel, validates via QA, and delivers a cohesive result.

Quick Start

Describe your task to the system. The Council will clarify requirements through Q&A, assemble a 3-person executor team plus 1 QA, and ask you to choose FULL_AUTO or SUPERVISED mode.
After mode selection, the team executes the plan, with blockers escalated to you for decision, and final delivery verified by QA before completion.
You can review progress via WHITEBOARD and project logs; the system enforces phase transitions and provides audit trails.

Frequently Asked Questions about multi-agent-team

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

FAQPage Schema

How do I coordinate a multi-agent team to deliver complex tasks?▼

To coordinate a multi-agent team for complex tasks, this skill orchestrates a four-member team of three executors and one QA under a Leadership Council to ensure clear ownership, cross-checks, and timely delivery across code, writing, research, and design projects.

How does multi-agent orchestration handle project blockers during execution?▼

Multi-agent orchestration handles project blockers by enforcing a phase-transition state machine with timeouts, escalating unresolved blockers to a Leadership Council, and requiring user decisions in SUPERVISED mode or resolving them automatically in FULL_AUTO mode.

Can I use this multi-agent workflow for both code and writing projects?▼

Yes, you can use this multi-agent workflow for code, writing, research, and design projects. It dynamically assembles a cross-domain executor team and applies governance through a three-domain Leadership Council for Planning, Execution, and Quality.

How do I start a multi-agent orchestration workflow?▼

To start a multi-agent orchestration workflow, describe your complex project to the system. The Leadership Council will clarify requirements through Q&A, assemble the executor and QA team, and prompt you to select either FULL_AUTO or SUPERVISED execution mode.

What is the difference between FULL_AUTO and SUPERVISED modes in multi-agent orchestration?▼

In multi-agent orchestration, FULL_AUTO mode allows the team to execute tasks and resolve blockers automatically, while SUPERVISED mode escalates blockers to the user for decision-making. Both modes enforce QA validation and phase transitions before final delivery.

How does multi-agent workflow ensure quality before final delivery?▼

Multi-agent workflow ensures quality before final delivery through a dedicated QA agent that validates outputs, enforces cross-check approvals from the Leadership Council, and audits progress via project logs and a WHITEBOARD system within a 7-phase state machine.