oh-my-openclaw

Port Oh-My-OpenCode patterns into OpenClaw for multi-agent orchestration.

184|24|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/happycastle114/oh-my-openclaw --skill oh-my-openclaw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oh-my-openclaw
Source: https://github.com/happycastle114/oh-my-openclaw/tree/main
Command: npx skills add https://github.com/happycastle114/oh-my-openclaw --skill oh-my-openclaw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Oh-My-OpenClaw ports Oh-My-OpenCode patterns into OpenClaw-native constructs to enable structured, multi-agent orchestration with category-based routing and automated task completion.

Core Features & Use Cases

  • 3-Layer Agent Architecture (Planning → Orchestration → Workers) for scalable complexity.
  • Native multi-agent coordination via OpenClaw sessions_spawn and per-agent tools.
  • Category-based model routing and ultrawork mode for end-to-end automation.
  • Wisdom accumulation through file-based notepads to persist learnings across sessions.
  • Todo Enforcer and 11 built-in skills to enforce disciplined execution.
  • Agent setup CLI to inject 11 agent configs into OpenClaw runtime.

Quick Start

Install the plugin and run omoc-setup to register 11 agent personas and enable ultrawork automation.

Frequently Asked Questions about oh-my-openclaw

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

FAQPage Schema
How do I orchestrate multiple agents for complex task automation in OpenClaw?

You can orchestrate multiple agents in OpenClaw by porting structured planning, orchestration, and worker patterns to coordinate specialized agents. This enables category-based model routing and automated task completion via a Todo Enforcer across your sessions.

What is category-based model routing for multi-agent workflows?

Category-based model routing directs specific tasks to appropriate specialized agents within your orchestration workflow. This approach enables ultrawork automation by leveraging a 3-layer agent architecture and specialized agent personas for end-to-end execution.

How do I set up agent personas in OpenClaw for workflow orchestration?

You set up agent personas in OpenClaw by running the omoc-setup CLI command. This setup flow injects 11 built-in agent configurations into the OpenClaw runtime to enable native multi-agent coordination and ultrawork automation.

Can I persist learnings across sessions for OpenClaw agents?

You can persist learnings across OpenClaw agent sessions through wisdom accumulation. This process uses file-based notepads to store knowledge, ensuring specialized agents retain information and context between different orchestration workflows.

Does OpenClaw support automated task completion for multi-agent coordination?

OpenClaw supports automated task completion through a built-in Todo Enforcer and ultrawork automation mode. These features ensure disciplined execution by coordinating specialized agents across planning and orchestration layers via native session spawning.

When do I need a 3-layer agent architecture for workflow orchestration?

A 3-layer agent architecture is needed when handling scalable complexity in multi-agent workflows. It separates planning, orchestration, and worker execution tasks to enable structured automation and category-based routing across specialized agents.