coordinator

Coordinate and monitor AI agents via HTTP with approval gates and dashboards.

4|Updated Feb 1, 2026

Search Tags:#workflow #monitoring #multi-agent #agents #orchestration #coordination

Ready to run

npx skills add https://github.com/mkalkere/agent-coordinator --skill coordinator-mkalkere

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: coordinator
Source: https://github.com/mkalkere/agent-coordinator/tree/main/.os/skills/coordination/coordinator
Command: npx skills add https://github.com/mkalkere/agent-coordinator --skill coordinator-mkalkere

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate and monitor multiple AI agents to prevent race conditions, duplicative work, and lost context in multi-agent projects.

Core Features & Use Cases

Spawn, monitor, and terminate agent sessions across roles (e.g., developer, reviewer) to maintain a healthy workflow.
Real-time dashboard and status checks ensure visibility into agent health, heartbeats, and task progress.
Enforce safety and governance with approval gates before spawning new agents and enforcing security capabilities.

Quick Start

Install and run the Agent Coordinator, then spawn developer and reviewer agents to begin the workflow.

Frequently Asked Questions about coordinator

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

FAQPage Schema

How do I monitor multiple AI agents to prevent race conditions and duplicative work?▼

To prevent race conditions in multi-agent setups, use a central coordination hub that tracks agent health, heartbeats, and task progress. This provides real-time visibility into agent execution, preventing conflicts and lost context.

What is HTTP-based orchestration for multi-agent workflows?▼

HTTP-based orchestration manages multi-agent workflows by using a central hub to spawn, exchange tasks, and terminate agent sessions. It enforces role-based capabilities and approval gates to ensure safe, coordinated execution across agent roles.

How do I set up approval gates for spawning new AI agents?▼

Setting up approval gates for spawning AI agents involves configuring a central orchestration hub to enforce security capabilities. This ensures new agent sessions require explicit approval before starting, maintaining governance across the multi-agent workflow.

Can I track real-time task progress and agent health in a multi-agent setup?▼

Yes, you can track task progress and agent health in a multi-agent setup using a configurable monitoring loop with dashboards. This provides real-time visibility into heartbeats and status checks, ensuring a healthy agent workflow.

When do I need a central hub to coordinate AI agents?▼

You need a central hub to coordinate AI agents when your project involves agents spawning, exchanging tasks, and requiring role-based safety capabilities. It prevents lost context and ensures coordinated execution in complex multi-agent setups.

Does multi-agent coordination work without enforcing role-based capabilities?▼

Multi-agent coordination can operate without role-based capabilities, but enforcing them prevents unauthorized actions and conflicts. Defining specific roles like developer and reviewer ensures agents operate within approved safety and governance boundaries.