OpenClaw Coordinator Agents

Coordinate multi-project tasks via YAML announcements and a shared project registry.

Updated Feb 5, 2026
One-click install
npx skills add https://github.com/javierhbr/agnostic-agent-loop --skill openclaw-coordinator-agents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: OpenClaw Coordinator Agents
Source: https://github.com/javierhbr/agnostic-agent-loop/tree/main/internal/skills/packs/openclaw-coordinator
Command: npx skills add https://github.com/javierhbr/agnostic-agent-loop --skill openclaw-coordinator-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines project management by enabling AI agents to coordinate work across multiple projects simultaneously, ensuring clear communication and task delegation between product and technical leads.

Core Features & Use Cases

  • Multi-Project Coordination: Manage parallel development efforts across several projects using a unified system.
  • Agent Collaboration: Facilitates seamless handoffs between ProductLead (defining specs) and TechLead (executing tasks), with spawned developer agents.
  • Use Case: A company managing a web app, a mobile app, and a backend service can use these agents to define new features, assign technical tasks, and track progress across all projects from a central coordination point.

Quick Start

Install the OpenClaw coordinator skill to enable autonomous project coordination between ProductLead and TechLead agents.

Frequently Asked Questions about OpenClaw Coordinator Agents

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

FAQPage Schema
How do I coordinate AI agents across multiple development projects?

Multi-project coordination is managed by TechLead and ProductLead AI agents that route tasks, define specs, and communicate via YAML announcements and a shared project registry. This enables parallel development workflows by filtering communications based on `project_id`.

How does multi-project AI agent communication work?

Multi-project AI agent communication works through YAML-based announcements and a shared project registry. Agents filter communications using `project_id` and manage workspace context via the `$COORDINATION_DIR` environment variable to ensure clear task delegation.

Can I use AI agents to manage parallel development workflows for web and mobile apps?

Yes, you can manage parallel development workflows across web, mobile, and backend projects. The ProductLead agent defines feature specs while the TechLead agent executes technical tasks and spawns developer agents from a central coordination point.

What is the best way to automate task routing between product and technical leads?

Automating task routing between product and technical leads is handled through specialized AI agents. ProductLead defines specifications and TechLead executes tasks, ensuring seamless handoffs and delegated execution across a unified multi-project system.

Do I need a shared project registry to coordinate multiple AI agent workflows?

Yes, a shared project registry is required to coordinate multiple AI agent workflows. It manages cross-project communication and task routing by filtering announcements based on `project_id` and maintaining workspace context through `$COORDINATION_DIR`.

What are the limitations of YAML-based announcements for AI agent coordination?

YAML-based announcements for AI agent coordination depend on proper `project_id` filtering and `$COORDINATION_DIR` environment variable configuration. Workflows may break if cross-project communications are misrouted or if workspace context is not properly managed across parallel development efforts.