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Gpt Image 2 Style Library

CommunityPopular
freestylefly
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.

Overview

Publisherfreestylefly
Repositoryawesome-gpt-image-2
Skill namegpt-image-2-style-library
Stars
33.8K
Forks
3.2K
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by freestylefly on GitHub. Read the source before you install it.

Installation

Install the Gpt Image 2 Style Library AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/freestylefly/awesome-gpt-image-2/tree/main/agents/skills/gpt-image-2-style-library
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/freestylefly/awesome-gpt-image-2.git /tmp/awesome-gpt-image-2
mkdir -p .claude/skills
cp -r /tmp/awesome-gpt-image-2/agents/skills/gpt-image-2-style-library .claude/skills/gpt-image-2-style-library
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gpt Image 2 Style Library in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gpt Image 2 Style Library on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gpt Image 2 Style Library is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

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:

bash
npm run generate:style-skill

To install the skill into the local Codex skill folder, run:

bash
npm run install:skill

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gpt Image 2 Style Library AI 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.

Why use Gpt Image 2 Style Library on TypingMind?

Because you install it once and use it with any model. Gpt Image 2 Style Library is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gpt Image 2 Style Library in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/freestylefly/awesome-gpt-image-2/tree/main/agents/skills/gpt-image-2-style-library. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gpt Image 2 Style Library?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gpt Image 2 Style Library?

As many as you like. As long as a model supports skills, you can use Gpt Image 2 Style Library with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gpt Image 2 Style Library AI skill free?

Yes. It is published on GitHub by freestylefly under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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