oma-coordination

Guide manual multi-agent workflows for software development project coordination.

5|3|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/ddarkr/antigravity-token-monitor --skill oma-coordination-ddarkr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oma-coordination
Source: https://github.com/ddarkr/antigravity-token-monitor/tree/main/.agents/skills/oma-coordination
Command: npx skills add https://github.com/ddarkr/antigravity-token-monitor --skill oma-coordination-ddarkr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill facilitates manual multi-agent coordination for complex projects, guiding users through planning, spawning, monitoring, and reviewing various specialized agents involved in software development workflows.

Core Features & Use Cases

  • Workflow Guidance: Provides detailed step-by-step instructions for coordinating project tasks among project managers, frontend, backend, mobile, and QA agents.
  • Agent Spawning: Supports manual spawning of agents via CLI commands, ensuring proper task decomposition and execution order.
  • Progress Monitoring & Validation: Offers strategies for tracking agent progress, verifying API/data contract consistency, and handling task dependencies.
  • Use Case: A team needs to develop a full-stack feature with multiple components; this Skill helps plan the work, spawn necessary agents, monitor progress, and perform quality assurance systematically.

Quick Start

Ask the AI to help plan and coordinate a large project involving multiple teams, guiding you through each step from task decomposition to final QA review.

Frequently Asked Questions about oma-coordination

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

FAQPage Schema
How do I coordinate multiple agents in a software development workflow?

Multi-agent coordination involves planning task decomposition, spawning specialized agents via CLI, monitoring progress, and validating dependencies to ensure structured execution across project domains.

What is the best way to manage task sequencing for full-stack feature development?

Managing full-stack task sequencing requires decomposing features into domain-specific tasks, defining execution order, spawning agents systematically, and verifying API or data contract consistency throughout.

Can I use CLI commands to spawn frontend, backend, and QA agents for project management?

Yes, manual agent spawning via CLI commands supports specialized roles including frontend, backend, mobile, and QA agents, ensuring proper task decomposition and execution order for complex projects.

How do I track multi-agent progress and handle task dependencies?

Progress monitoring tracks agent execution states while validating API and data contract consistency, handling task dependencies through structured strategies to ensure fail-safe multi-agent workflow execution.

Does multi-agent workflow coordination work for large-scale development efforts?

Multi-agent workflow coordination suits large-scale development by providing step-by-step guidance for planning, spawning, monitoring, and reviewing agents across multiple software development domains.

When should I not use manual multi-agent coordination for project workflows?

Manual multi-agent coordination is not ideal for simple, single-domain tasks that lack cross-team dependencies, as the overhead of planning, spawning, and monitoring outweighs the benefits of structured guidance.