| name | gpt-image-2-style-library |
| description | Choose GPT-Image2 / gpt-image-2 visual styles and industrial prompt templates from the awesome-gpt-image-2 style library. Use when an agent needs to create, rewrite, classify, or improve image-generation prompts with repository-backed templates, categories, style tags, scene tags, pitfalls, and example cases. |
GPT-Image2 Style Library
Use this skill to turn a user's image-generation intent into a production-ready GPT-Image2 prompt using the awesome-gpt-image-2 style library.
Example Output
Example request: 用 gpt-image-2-style-library 技能生成城市生命系统图谱
Reference
- Read
references/style-library.md before choosing a template or style.
- The reference is generated from
data/style-library.json in the repository.
- Prefer the reference over memory when template names, categories, covers, or style tags matter.
Workflow
- Detect the user's language and answer in that language.
- Identify the user's target output: product, poster, UI, infographic, brand, photo, illustration, character, scene, history, document, or special task.
- Match the request in this order: template category, visual style tag, scene tag, then nearest example cases.
- If one template is clearly strongest, use it directly. If several are plausible, present 2-3 options with short reasons and ask the user to choose.
- Build the final prompt with these blocks:
- subject and task
- composition and layout
- visual style and materials
- text and label requirements
- aspect ratio and output format
- constraints and negative details
- Include the selected template name and any useful example case IDs.
Output Defaults
- Provide a copyable prompt first.
- Keep constraints concrete: exact text, aspect ratio, readable labels, layout hierarchy, and avoided artifacts.
- For Chinese requests, write the final prompt in Chinese unless the user asks for English.
- For English requests, write the final prompt in English unless the user asks for Chinese.
- When the user asks for multiple concepts, reuse one template and vary subject, composition, palette, and scene.
Maintenance
When the source repository changes, run:
npm run generate:style-skill
To install the skill into the local Codex skill folder, run:
npm run install:skill
