omc-reference

Reference OMC agent catalog, tool integrations, and team orchestration commands.

1|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/zeptillionairplex/karpathy-claude-code-prompt-principle --skill omc-reference-zeptillionairplex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: omc-reference
Source: https://github.com/zeptillionairplex/karpathy-claude-code-prompt-principle/tree/main/.claude/skills/omc-reference
Command: npx skills add https://github.com/zeptillionairplex/karpathy-claude-code-prompt-principle --skill omc-reference-zeptillionairplex

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides detailed information about the OMC agent catalog, tools, team routing, and skills registry to streamline AI orchestration workflows.

Core Features & Use Cases

  • Agent Catalog: Lists over 20 specialized AI agents with their functions, such as code review, debugging, system design, and documentation. For example, assign a 'debugger' agent for root-cause analysis in a project.
  • Model Routing: Offers guidelines on matching AI models like Claude, Codex, and Gemini to specific tasks such as quick inspection or deep analysis.
  • Tools Reference & Skills Registry: Provides commands for external AI orchestration, team management, code intelligence, and executing built-in workflows like autopilot or QA cycles. Useful for managing complex multi-agent tasks seamlessly.

Quick Start

Invoke the OMC catalog by requesting detailed agent information or team orchestration commands to facilitate AI-driven project management and code review.

Frequently Asked Questions about omc-reference

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

FAQPage Schema
How do I orchestrate multiple AI agents for code review and project coordination?

You can orchestrate multi-agent systems by invoking the centralized reference catalog for agent deployment, model routing guidelines, and team execution protocols to automate code review and project coordination workflows.

What AI models can I route to specific tasks like code inspection or system design?

Model routing guidelines allow you to match AI models like Claude, Codex, and Gemini to specific tasks such as quick code inspection or deep system analysis, ensuring appropriate model selection for varying complexity.

Can I manage complex multi-agent tasks and team routing without external dependencies?

Yes, you can manage complex multi-agent tasks seamlessly using built-in team routing, code intelligence commands, and structured execution protocols without requiring external dependencies.

When do I need a centralized AI agent catalog for workflow automation?

A centralized AI agent catalog is needed when managing complex multi-agent systems, executing built-in workflows like autopilot or QA cycles, and ensuring compatibility with external AI tools for structured team execution protocols.

What specialized AI agents are available for debugging and root-cause analysis?

The catalog lists over 20 specialized AI agents including a dedicated debugger agent for root-cause analysis, alongside agents for code review, system design, and documentation tasks.