---

name: ohmyopenclaw version: 1.0.0 description: AI-native configuration and setup guides for OpenClaw author: ohmyopenclaw repository: https://github.com/ohmyopenclaw/ohmyopenclaw keywords:

• openclaw
• configuration
• setup
• agent-swarm
• ai-native license: MIT

---

ohmyopenclaw

AI-native configuration and setup guides for OpenClaw.

What This Skill Provides

This skill helps you configure OpenClaw for various use cases through Setup Guides. Each guide provides step-by-step instructions that the AI can read and apply automatically.

Available Guides

Guide	Use Case	Priority
agent-swarm	Multi-agent architecture with Orchestrator + Workers	⭐⭐⭐ Recommended
memory-optimized	Enhanced memory with search capabilities	⭐⭐
chinese-providers	Chinese AI provider configuration	⭐⭐
cost-optimization	Cost reduction strategies	⭐
monitor	Proactive monitoring and task discovery	⭐⭐

Usage

Apply a Guide

Simply tell the AI which guide to apply:

Apply agent-swarm guide

Setup memory optimization

Configure for Chinese providers

View Guide Details

Show me the agent-swarm guide

Installation

For New Users

If you don't have OpenClaw installed yet:

# macOS / Linux
curl -fsSL https://get.ohmyopenclaw.dev | bash

# Windows PowerShell
irm https://get.ohmyopenclaw.dev/install.ps1 | iex

For Existing OpenClaw Users

If you already have OpenClaw installed:

clawhub install ohmyopenclaw

Or ask the AI: "Install ohmyopenclaw skill"

First-Time Setup

After installation, the AI will remind you about next steps when you first chat with OpenClaw:

1. Install this skill via ClawHub
2. Choose and apply a setup guide
3. Configure additional channels if needed

How Guides Work

Each guide is a Markdown document that the AI can read and execute. The guide contains:

• 适用场景: When to use this guide
• 配置变更: What changes will be made
• 安装命令: Commands to execute
• 验证步骤: How to verify success

The AI will:

1. Read the guide content
2. Ask for any required parameters
3. Execute the configuration changes
4. Verify the setup is working
5. Update your workspace files

Guide Priority

We recommend applying guides in this order:

1. agent-swarm - Foundation for multi-agent architecture
2. memory-optimized - Enhance memory capabilities
3. monitor - Enable proactive task discovery
4. chinese-providers or cost-optimization - Based on your needs

Contributing

Found an issue or want to improve a guide?

• GitHub: https://github.com/ohmyopenclaw/ohmyopenclaw
• Issues: https://github.com/ohmyopenclaw/ohmyopenclaw/issues

License

MIT License - see LICENSE for details.