Agent skill · Backend & API

gpt-image-skill

Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Triggers: "gpt image", "openai image", "generate image with openai", "draw image", "create image", "image generation", "AI drawing", "图片生成", "AI绘图", "生成图片", "画图". Use this skill whenever the user wants to generate or edit images and mentions OpenAI, GPT, or when OPENAI_API_KEY is available.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gpt-image-skill --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Allowed tools: ReadWriteGlobGrepTaskBash(cat:*)Bash(ls:*)Bash(tree:*)Bash(python3:*)
Path: skills/ai-llm/gpt-image-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# GPT Image Skill Generate or edit images using OpenAI's GPT Image models through a bundled Python script. ## Requirements 1. **OPENAI_API_KEY**: Must be configured in `~/.gpt-image.env` or `export OPENAI_API_KEY=<your-key>` 2. **OPENAI_API_BASE** (optional): Custom API base URL for compatible endpoints (e.g. Azure OpenAI, proxies). Set in `~/.gpt-image.env` or export it. 3. **Python3 with dependencies**: openai, Pillow. Install via `python3 -m pip install -r ./requirements.txt` if not installed yet. 4. **Executable**: `./gpt_image.py` ## Instructions ### For image generation 1. Ask the user for: - What they want to create (the prompt) - Desired size (optional, defaults to 1024x1024) - Output filename (optional, auto-generates UUID-based name if not specified) - Model preference (optional, defaults to gpt-image-2) - Quality (optional, defaults to auto) - Number of images (optional, defaults to 1) 2. Run the script: ```bash python3 ./gpt_image.py --prompt "description of image" --output "filename.png" ``` 3. Show the user the saved image path when complete. ### For image editing 1. Ask the user for: - Input image file(s) to edit (up to 3) - What changes they want (the prompt) - Outp

What's inside
Steps it walks through
  1. Requirements
  2. Instructions
  3. For image generation
  4. For image editing
  5. Available Options
  6. Models (--model)
  7. Sizes (--size)
  8. Quality (--quality)
  9. Output Format (--format)
  10. Background (--background)
  11. Other Options
  12. Examples
  13. Generate a simple image
  14. Generate with specific size and output
Ships with 1 file
  • metadata.json
Commands it runs
python3 ./gpt_image.py --prompt "description of image" --output "filename.png"
python3 ./gpt_image.py edit --prompt "editing instructions" --input image1.png image2.png --output "edited.png"
python3 ./gpt_image.py --prompt "A serene mountain landscape at sunset with a lake"
python3 ./gpt_image.py \
python3 ./gpt_image.py edit \
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About this skill
What does the gpt-image-skill skill do?

Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Triggers: "gpt image", "openai image", "generate image with openai", "draw image", "create image", "image generation", "AI drawing", "图片生成", "AI绘图", "生成图片", "画图". Use this skill whenever the user wants to generate or edit images and mentions OpenAI, GPT, or when OPENAI_API_KEY is available.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gpt-image-skill --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 majiayu000/claude-skill-registry, a repository with 534 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.

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