Agent skill · AI & Agents

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 example cases.

苍何9,678★ · +310/wk · 2 repos on radarProfile →
claude-codeships scriptsMIT
Install
npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 2 KB
Bundled scripts: yes
Path: agents/skills/gpt-image-2-style-library/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 9,077 · +226 this week
Language: JavaScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 ![City life system map example](assets/city-life-system-map.png) 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

What's inside
Steps it walks through
  1. Example Output
  2. Reference
  3. Workflow
  4. Output Defaults
  5. Maintenance
Ships with 5 files
  • agents/openai.yaml
  • assets/city-life-system-map.png
  • bin/install.mjs
  • package.json
  • references/style-library.md
Commands it runs
npm run generate:style-skill
npm run install:skill
About this skill
What does the gpt-image-2-style-library skill do?

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.

How do I install it?

Run `npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From freestylefly/awesome-gpt-image-2, a repository with 9,077 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going