image-generation
Generate or edit images from text prompts. Use when the user asks to create, draw, design, or edit an image, illustration, photo, icon, poster, or any visual content.
Profile →npx skills add zhayujie/CowAgent --skill image-generation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Image Generation Generate and edit images using AI models. The script automatically picks a backend based on which API keys are configured — **you don't need to specify a model unless the user explicitly names one**. Supported models (passed via `model` only when the user asks for a specific one): - **OpenAI** — `gpt-image-2`, `gpt-image-1` - **Gemini Nano Banana** — `nano-banana-2`, `nano-banana-pro`, `nano-banana` - **Seedream (Volcengine Ark)** — `seedream-5.0-lite`, `seedream-4.5` - **Qwen (DashScope)** — `qwen-image-2.0`, `qwen-image-2.0-pro` - **MiniMax** — `image-01` ## Usage Run `scripts/generate.py` with a JSON argument. The path is relative to this skill's `base_dir`. ```bash python <base_dir>/scripts/generate.py '<json_args>' ``` **Set bash timeout to at least 600 seconds**, as image generation can take 30–200s per provider, and the script may try multiple providers sequentially. ### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `prompt` | string | yes | — | Image description | | `image_url` | string / list | no | null | Input image(s) for editing: local file path or URL. Multi-image fusion
- Usage
- Parameters
- Example — generate
- Important: Editing vs Generating
- Example — edit (image-to-image)
- Output
- Setup
- Error Handling
- Notes
python <base_dir>/scripts/generate.py '<json_args>'
python <base_dir>/scripts/generate.py '{"prompt": "A corgi astronaut floating in space"}'
python <base_dir>/scripts/generate.py '{"prompt": "Isometric miniature city of Shanghai at sunset", "size": "2K", "aspect_ratio": "16:9"}'
python <base_dir>/scripts/generate.py '{"prompt": "Add a Santa hat to the dog", "image_url": "/path/to/dog.png"}'
python <base_dir>/scripts/generate.py '{"prompt": "Combine these characters into a group photo", "image_url": ["/path/a.png", "/path/b.png"]}'What does the image-generation skill do?
Generate or edit images from text prompts. Use when the user asks to create, draw, design, or edit an image, illustration, photo, icon, poster, or any visual content.
How do I install it?
Run `npx skills add zhayujie/CowAgent --skill image-generation --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 zhayujie/CowAgent, a repository with 46,311 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.