image-generation

Solid

Generate or edit raster images with the native image_generate tool.

AI & Automation 126 stars 11 forks Updated today MIT

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Skill Content

# Image Generation Use the native `image_generate` tool when the user asks you to create, generate, render, edit, restyle, or make a deliverable raster image. Do not use `image_generate` to inspect or describe an existing image. Use `vision_analyze` for image understanding. ## Workflow 1. Call `image_generate` with `action: "list"` if you need to check whether an image provider is configured or explain missing auth/model setup. 2. For generation, pass a clear `prompt` and optional `aspectRatio`, `size`, `quality`, and `count`. The native provider layer supports GPT Image 2, Nano Banana 2, Grok Imagine, and FLUX.2 when those providers are configured. 3. For image-to-image edits, pass reference media paths in the `image_generate` `image` or `images` arguments. Paths may come from `/workspace`, `/discord-media-cache`, `/uploaded-media-cache`, or safe current-turn Discord CDN URLs. 4. Treat provider `warnings` as user-relevant when they change requested options such as quality, size, aspect ratio, or count. 5. Return the generated artifact directly in the final response. The tool owns provider auth, provider quirks, file persistence, and media delivery paths. Keep prompts concrete and visual. Include subject, composition, style, colors, format, and any text that must appear in the image.

Details

Author
HybridAIOne
Repository
HybridAIOne/hybridclaw
Created
5 months ago
Last Updated
today
Language
TypeScript
License
MIT

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