What is happy-figure-skill?

Happy Figure Skill is a plugin for AI coding assistants like Claude Code that helps researchers create scientific illustrations using AI image generation models. The README is primarily in Chinese. Instead of generating images directly, this tool takes research content such as a paper, figure caption, or study plan and produces a structured text prompt that you can then feed into an image generation model like GPT Image 2, Qwen Image 2, or similar tools. The core idea is that writing a good prompt for a scientific diagram requires knowing the domain, the type of figure you want, and the particular quirks of the image model you are using. Happy Figure Skill handles that translation step. You describe what your research is about and what kind of figure you need, and the skill produces a detailed, model-specific prompt rather than a generic one. The README describes it as a prompt router and figure structure compiler rather than a one-size-fits-all prompt. The tool covers several research domains including computer science and machine learning architecture diagrams, materials chemistry mechanism diagrams, biomedical process illustrations, and earth science visualizations. The showcase section of the README shows the same five tasks run through five different image models side by side, demonstrating how the same structured prompt produces different visual styles on different models, and how factors like text rendering stability and diagram layout vary across them. Happy Figure Skill is built as an agent skill, meaning it is not a standalone program you run directly. It is designed to be invoked by an AI agent such as Claude Code, which reads your research content and calls the skill to generate the prompt. The skill is part of a broader project called Happy Figure maintained by the Datawhale community. The README links to a QQ group for Chinese-speaking users who want to discuss or get help with the tool.