handraw-style (yang0/handraw-style)
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5.6K ·GitHub
What is this?
A Skill that catalogs 261 numbered hand-drawn illustration styles; you pick a number, tell it your subject, and it returns a bilingual (Chinese and English) prompt with the style name baked in, ready to paste into any image-generating AI.
Is this an app I run, or just a reference I browse?
It is not an image generator itself; it is an Agent Skill paired with a numbered style gallery. You look through the gallery, remember a number, and the Skill turns that number plus your topic into a ready-to-use prompt.
How do I actually get a prompt out of it?
Open the numbered gallery, note a style number you like (e.g. 041), then give the Skill the number plus your topic, like '041号风格,主题:秋天的第一杯奶茶', and it returns a Chinese/English prompt with the style name included, which you copy into your image AI.
Do I need a specific image-generation AI to use the prompts?
No particular model is required — the prompts are meant to be pasted into whichever text-to-image AI you already use. The Skill just checks whether that model can trigger the style from its name alone before deciding whether to attach a reference image.
Will the AI always nail the exact style?
Not guaranteed by name alone. If the target model can't reliably activate a style from its name, the Skill falls back to sending that style's single reference image, and styles without strong distinguishing features get a reference image from the start.
Who is this aimed at?
Creators who can't describe an art style in words, and people making WeChat ('公众号'), Xiaohongshu, short-video, or brand content who want their images to keep a consistent visual look.
How are the 261 styles grouped?
They fall into seven loose groups: A international editorial/humorous (001–035), B international picture-book/narrative (036–054), C modern graphic/stylized figures (055–082), D contemporary Japanese illustration (083–123), E contemporary Chinese illustration (124–154), F general web/media/regional styles (155–200), and G newly added illustration styles (201–261).
Why does the author single out gpt-image-2?
The author has already tested which styles gpt-image-2 can reproduce from the style name alone and uses it as the first model for the activate-by-name vs send-reference-image logic that guides prompt generation.
Are new reference images added over time?
Yes, newly imported styles are stored under images/individual/ in batches of 200 numbers (e.g. 001–200, then 201–400), with each style's single reference image and its 2x2 grid kept together in the same folder.
What are similar projects?
muyang-illustration-skills, ian-xiaohei-illustrations, awesome-gpt-image-2-5-prompts, deepseek-whale-girl, photo-abstract-editorial, God-minmax-H3, kid-papercraft, gathered-scenes-zine-skill
Which topics is it in?
illustration, gallery, ai-art, prompt-library, bilingual, creative-tools, prompt, text-to-image, content-creation, agent-skill, claude-skills, image-generation


















