ohmyopenclaw

AI-native configuration and setup guides for OpenClaw

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Install skill "ohmyopenclaw" with this command: npx skills add maxzyma/ohmyopenclaw

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

GuideUse CasePriority
agent-swarmMulti-agent architecture with Orchestrator + Workers⭐⭐⭐ Recommended
memory-optimizedEnhanced memory with search capabilities⭐⭐
chinese-providersChinese AI provider configuration⭐⭐
cost-optimizationCost reduction strategies
monitorProactive 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?

License

MIT License - see LICENSE for details.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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