omo

Route coding tasks to specialized agents for analysis and implementation.

2.7k|308|Updated Jul 17, 2025
One-click install
npx skills add https://github.com/stellarlinkco/myclaude --skill omo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: omo
Source: https://github.com/stellarlinkco/myclaude/tree/main/skills/omo
Command: npx skills add https://github.com/stellarlinkco/myclaude --skill omo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines complex coding tasks by intelligently routing them to the most appropriate AI agent, ensuring efficient analysis, planning, and implementation.

Core Features & Use Cases

  • Dynamic Agent Routing: Automatically selects the best agent (e.g., explore, oracle, develop) based on the task's nature and risk.
  • Contextual Awareness: Passes relevant information between agents for a cohesive workflow.
  • Use Case: Debugging a complex bug where the root cause is unknown. The skill will first use an explore agent to locate the issue, then potentially an oracle agent to assess risk, and finally a develop agent to implement the fix.

Quick Start

Use the omo skill to analyze a bug and fix it, starting with exploring the codebase.

Frequently Asked Questions about omo

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

FAQPage Schema
How do I automate multi-agent workflows for bug fixing and code analysis?

Multi-agent workflows for bug fixing are automated by intelligently routing tasks to specialized agents based on task type and risk signals. The system dynamically selects agents like explore, oracle, or develop to investigate root causes and implement fixes.

What is dynamic agent routing in codebase refactoring?

Dynamic agent routing in codebase refactoring is the process of automatically selecting the best AI agent for a specific task. It assesses the nature and risk of the refactoring to choose between agents for exploration, risk assessment, or implementation.

How do I fix a bug where the root cause is unknown?

To fix a bug with an unknown root cause, an explore agent first locates the issue in the codebase. An oracle agent then assesses the risk, and finally, a develop agent implements the planned fix, ensuring cohesive context passing throughout the workflow.

Can I use multi-agent orchestration for feature implementation?

Yes, you can use multi-agent orchestration for feature implementation. The system intelligently routes the implementation tasks to specialized agents, ensuring efficient context passing and minimal agent invocation for a streamlined development process.

How does context passing work between specialized AI agents?

Context passing works by routing relevant information between specialized AI agents during a workflow. This ensures a cohesive process from codebase exploration through risk assessment to final implementation, minimizing redundant analysis.