coordinate

Coordinate multi-agent task execution with task decomposition and issue remediation loops.

1.2k|140|Updated Jan 30, 2026

Search Tags:#workflow #task management #multi-agent #orchestration #agent coordination #issue remediation

Ready to run

npx skills add https://github.com/first-fluke/oh-my-agent --skill coordinate-first-fluke

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: coordinate
Source: https://github.com/first-fluke/oh-my-agent/tree/main/.claude/skills/coordinate
Command: npx skills add https://github.com/first-fluke/oh-my-agent --skill coordinate-first-fluke

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex coordination of multiple specialized AI agents to complete tasks, ensuring efficient workflow and issue resolution.

Core Features & Use Cases

Task Decomposition: Breaks down user requirements into actionable steps for different agents.
Agent Orchestration: Manages the spawning and execution of agents based on task priority and domain.
Issue Remediation Loop: Implements a native loop for agents to address critical feedback from QA, ensuring high-quality output.
Use Case: Coordinate a team of frontend, backend, and QA agents to implement a new user feature, with automatic iteration on feedback until all issues are resolved.

Quick Start

Use the coordinate skill to break down the user requirement 'Implement user authentication flow' and assign tasks to the relevant agents.

Frequently Asked Questions about coordinate

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

FAQPage Schema

How do I orchestrate multi-agent tasks for complex software engineering workflows?▼

Multi-agent task orchestration coordinates specialized AI agents—like PM, frontend, backend, and QA—by managing agent spawning, task decomposition, and an issue remediation loop for iterative development until issues are resolved.

How does an issue remediation loop work for AI agent coordination?▼

An issue remediation loop provides a native feedback cycle where agents automatically address critical feedback from QA agents, ensuring iterative development continues until all quality issues are completely resolved.

Can I decompose user requirements into actionable steps for different specialized agents?▼

Yes, task decomposition breaks down user requirements into actionable steps assigned to different agents based on task priority and domain, enabling specialized AI agents to collaborate on implementation.

Do I need the Task tool and TaskCreate for deterministic multi-agent execution and monitoring?▼

Yes, multi-agent task execution requires task tracking via the Task tool and TaskCreate to ensure deterministic execution and monitoring throughout the agent spawning and coordination process.

What is the best way to coordinate frontend, backend, and QA agents to implement a new feature?▼

The best way to coordinate frontend, backend, and QA agents is using a multi-agent orchestration skill that breaks down requirements, assigns domain tasks, and iterates on QA feedback until the feature is complete.