gpt-image-2-style-library
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 exam
By freestylefly · 3,371 installs
npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library
Source repository · Upstream listing
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
1. Detect the user's language and answer in that language.
2. Identify the user's target output: product, poster, UI, infographic, brand, photo, illustration, character, scene, history, document, or special task.
3. Match the request in this order: template category, visual style tag, scene tag, then nearest example cases.
4. 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.
5. 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
6. 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:
To install the skill into the local Codex skill folder, run: