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.