image-gen
AI image generation via gpt-image-2, nano-banana, and MiniMax image-01. Use when the user wants to generate or create an image / picture / still.
Profile →npx skills add 0xsline/OpenChatCut --skill image-gen --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 Gen Generate AI images via `submit_image` (configured provider keys only). Prefer one clear still per request unless the user asked for variants. ## Model Selection | Model | Reference | Strengths | Max refs | | --- | --- | --- | --- | | `gpt-image-2` | [references/gpt-image-2.md](references/gpt-image-2.md) | Best text rendering, strongest prompt adherence | 16 | | `nano-banana` | [references/nano-banana.md](references/nano-banana.md) | Strongest reference-image fidelity | 14 | | `image-01` | [references/image-01.md](references/image-01.md) | MiniMax stills / live style; one subject reference via R2 | 1 | - Default: `gpt-image-2` when that key is on. - Reference-heavy → `nano-banana`. - User named MiniMax / only MiniMax image key on → `image-01`. - Respect capabilities: do not call a model whose vendor is not configured. **IMPORTANT:** Before generating, READ the chosen model's reference. ## Tool Params | Param | Values | Default | | ------------------- | ----------------------------------------------------------------------- | ------- | | `aspectRatio` | `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `3:2`, `2:3`, `4:5`, `5:4`, `21:9` | `16:9` | | `imageSize` | `512px`, `1K`, `2K`,
- Model Selection
- Tool Params
- Defaults
- Ask Before Submit
- Reference Images
- Run
- Rules
What does the image-gen skill do?
AI image generation via gpt-image-2, nano-banana, and MiniMax image-01. Use when the user wants to generate or create an image / picture / still.
How do I install it?
Run `npx skills add 0xsline/OpenChatCut --skill image-gen --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 0xsline/OpenChatCut, a repository with 805 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.