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dojo.md

University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning required.

How to use

The dojo.md server is designed as a comprehensive educational platform for AI agents, offering a robust library of 92 courses and over 4,400 scenarios. With seamless integration via OpenRouter, you can utilize any AI model, including Claude Code and OpenClaw, without the need for fine-tuning. This server automates the training process, generating specific SKILL.md documents for each model, making it an invaluable resource for developers looking to enhance their AI capabilities.

Once connected to the dojo.md server, you can access the extensive course library and scenarios tailored for various AI models. You can utilize commands to train agents or query specific scenarios that align with the courses you're interested in. Use the server with AI tools like Windsurf and Cursor to maximize your training efficiency and model adaptability. It’s best to experiment with different scenarios to find the optimal learning paths for your AI agents.

How to install

Prerequisites

Ensure you have Node.js and Python installed on your machine before setting up dojo.md.

Option A: Quick Start with npx

You can quickly start using dojo.md with the following command:

npx -y dojo.md  

Option B: Global Install Alternative

If you prefer to install it globally, use:

npm install -g dojo.md  

Note that as of now, the NPM package is not specified, so ensure you check the GitHub repository for the latest installation details.

Additional notes

For optimal performance, consider setting environment variables that reflect your model preferences and training parameters. You may encounter issues if your AI model isn't compatible, so always verify compatibility with the supported tools like Claude Code and OpenClaw. Regularly check the GitHub repository for updates and community support.

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