gpt-image-2-combined
Allows generating images using OpenAI's GPT-Image-2 model through the Images API, supporting various sizes and quality settings.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@gpt-image-2-combineda surreal painting of a clock melting in a desert"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
gpt-image-2-skill
GPT-Image-2 prompt skill + MCP server for Claude Code and Codex.
Describe your intent → get a production-ready prompt → generate the image, all in one conversation.
Synthesized from three community repos:
YouMind-OpenLab/awesome-gpt-image-2 — 2000+ curated prompts
ZeroLu/awesome-gpt-image — top creator picks from X/Twitter
freestylefly/awesome-gpt-image-2 — 470+ reverse-engineered cases, 20+ industrial templates
Requirements
Node.js ≥ 18
Claude Code (CLI or desktop)
OpenAI API key with Images API access
Related MCP server: Gemini Image MCP Server
Installation
Step 1 — Run the installer
npx gpt-image-2-combined installThis one command will:
Copy the Skill to
~/.claude/skills/gpt-image-2-combined/Register the MCP server in
~/.claude.jsonCreate
~/.gpt-image-2/.envfor your API key
Step 2 — Add your OpenAI API key
Open ~/.gpt-image-2/.env and fill in your key:
# ~/.gpt-image-2/.env
OPENAI_API_KEY=sk-...Don't have a key? Get one at platform.openai.com/api-keys.
Step 3 — Restart Claude Code
The Skill and MCP server load on startup. Restart once after installation.
That's it. Verify the Skill is available by typing /gpt-image-2-combined in Claude Code.
Usage
Full flow (prompt → image in one conversation)
1. Invoke the Skill to craft a prompt
/gpt-image-2-combined 幫我做一張章魚的 Apple keynote 風格科普海報The Skill will:
Detect your intent and language
Match the best template (
poster-nature-sciencein this case)Fill in the 6-block structure (subject, composition, style, text, format, constraints)
Output a production-ready, copyable prompt
2. Generate the image via MCP
Once you have the prompt, ask Claude to generate it:
用這個 prompt 生成圖片Claude calls the generate_image MCP tool, which:
Sends the prompt to OpenAI Images API (GPT-Image-2)
Downloads the result
Saves it to
~/Pictures/gpt-image-2/Returns the local file path and CDN URL
3. Done
✅ Image generated and saved.
File : ~/Pictures/gpt-image-2/img-2025-06-19T10-30-00.png
URL : https://...
Size : 1024x1536 Quality: standardSkill only (prompt engineering without image generation)
If you only need a well-crafted prompt to paste into ChatGPT or another tool:
/gpt-image-2-combined make a sports campaign poster for a running shoe brandCopy the output prompt and use it anywhere.
Template categories
Category | Templates | Examples |
UI & Interfaces | App, Dashboard, Social Screenshot, Live Stream |
|
Infographics | Standard, Scale Diagram |
|
Posters & Typography | Campaign, Sports, Typography, Ink Double Exposure, Science |
|
Products & E-commerce | Hero shot, Detail page, Packaging |
|
Brand & Logos | Identity, Touchpoint board |
|
Photography | Realism, RAW phone, Candid street, 360 Panorama |
|
Illustration & Art | Anime, Watercolor, Ink, Decorative |
|
Characters | Design sheet, 3D collectible toy |
|
Scenes & Storytelling | Storyboard, Narrative, Worldbuilding |
|
Games & Entertainment | Game screenshot, Pixel art grid |
|
History & Classical | Scroll, Dynasty, Poetry visual |
|
Documents | White paper, Manual, Report page |
|
Special Tricks | Micro text, Screen-shot effect, JSON agent format |
|
MCP tool reference
The MCP server exposes one tool: generate_image.
Parameter | Type | Default | Description |
| string | required | Full image-generation prompt |
| string |
|
|
| string |
|
|
| string | auto | Base filename without extension |
Configuration
All config lives in ~/.gpt-image-2/.env:
# Required
OPENAI_API_KEY=sk-...
# Optional — verify exact model name at platform.openai.com/docs/models
GPT_IMAGE_MODEL=gpt-image-alpha
# Optional — where generated images are saved
GPT_IMAGE_OUTPUT_DIR=/Users/you/Pictures/gpt-image-2What's inside
gpt-image-2-skill/
├── agents/skills/gpt-image-2-combined/
│ ├── SKILL.md ← Claude Skill (prompt engine)
│ ├── agents/
│ │ ├── openai.yaml ← Codex agent spec
│ │ └── claude.yaml ← Claude agent spec
│ └── references/
│ └── combined-tricks.md ← All templates and tricks
├── mcp/
│ └── src/index.js ← MCP server (calls OpenAI API)
├── scripts/
│ ├── cli.mjs ← npx entry point
│ └── install.mjs ← install logic
├── .claude-plugin/
│ └── marketplace.json ← Claude Code marketplace registration
├── .github/workflows/
│ ├── publish.yml ← auto npm publish on git tag
│ └── test.yml ← cross-platform install test
└── .env.example ← API key templateManual installation (alternative)
If you prefer to clone and install locally:
git clone https://github.com/albert850904/gpt-image-2-skill.git
cd gpt-image-2-skill
npm install
npm run install:skillReleasing a new version
# bump version in package.json, then:
git tag v1.0.1 && git push --tagsGitHub Actions publishes to npm automatically on every tag push.
Credits
Repo | Contribution |
Industrial templates, 6-block structure, JSON agent format, Skill architecture | |
RAW photo tricks, game screenshot tricks, special effect prompts | |
Full category coverage, multi-language prompt examples |
License
MIT
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