Image Generation

SkillMedia

Generate or edit raster images with the native image_generate tool.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Image Generation skill

What this skill tells your AI

The instructions your AI receives, as published by hybridaione/hybridclaw in skills/image-generation/SKILL.md and read by ahel’s review.

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.

Signals

GitHub stars
132
Forks
12
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
image-generation-hybridaione
Source
github.com/hybridaione/hybridclaw