Ian Xiaohei Illustrations

Ian Xiaohei Illustrations

Design
helloianneo
claudecursorgeneric
FreeOpen Source

About

An MCP server that generates quirky hand-drawn Xiaohei-style illustrations for Chinese articles. Unique black-and-white line art style, perfect for article and blog illustrations.

Our Verdict

Ian Xiaohei Illustrations is a valuable addition to any AI agent toolkit. Its open-source nature and active development make it a reliable choice for both personal and professional use.

Pricing

free
Free and open source

Use Cases

  • Using Ian Xiaohei Illustrations with Claude, Cursor, and other AI agents
  • Integrating Ian Xiaohei Illustrations into existing development workflows
  • Automating design tasks with AI assistance

Pros

  • Ian Xiaohei Illustrations integrates seamlessly into development workflows
  • Open source with active community support
  • Regular updates and feature improvements

Cons

  • Ian Xiaohei Illustrations requires some learning to use effectively
  • Documentation could be more comprehensive
  • May need additional tools for full workflow

Installation

git clone https://github.com/helloianneo/ian-xiaohei-illustrations.git ~/.codex/skills/ian-xiaohei-illustrations

Frequently Asked Questions

What style of illustrations does this skill generate?

A distinctive "Xiaohei" grotesque hand-drawn black-and-white line art style: rough, witty and highly recognizable. Perfect for Chinese article illustrations, blog art and WeChat content, giving posts an instantly unified visual identity.

How do I install and use it?

Run npx @anthropic-ai/claude add ian-xiaohei-illustrations in Claude Code. Then hand your article to the AI — it analyzes the content and generates style-consistent illustrations for key passages.

Can the generated illustrations be used commercially?

The skill itself is free and open source. Before commercial use, check the license terms in the GitHub repository and the usage policy of the image generation model you connect — commercial rights over generated content typically follow the underlying model service terms.