AugmentClaude

Image Generation

Generate and iteratively edit images from text descriptions.

Installation

  1. Make sure Claude is on your device and in your terminal.

    Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.

    One-time setup
    npm i -g @anthropic-ai/claude-code

    Already have it? Skip ahead.

  2. Paste into Claude Code or into your terminal.

    This copies the whole skill folder into ~/.claude/skills/image-generation-hkuds/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

    Faster alternative (instruction-only skills)

    Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

    Quick install (SKILL.md only)
    Sign up to copy
  3. Restart Claude Code.

    Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.

  4. Just ask Claude.

    Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

Generate images and iteratively edit saved image artifacts.

What this skill does

Image Generation

Use the generate_image tool when the user asks you to create, render, draw, design, generate, or edit an image.

If the generate_image tool is not available in the current tool list, tell the user that image generation is not enabled for this nanobot instance.

When To Use

  • Text-to-image: call generate_image with a concrete prompt.
  • Image editing: pass the saved artifact path or user image path in reference_images.
  • Iterative edits in the same conversation: prefer the most recent generated image artifact if the user says things like "make it brighter", "change the background", or "try another version".
  • Ambiguous edits: ask a short clarifying question if multiple recent images could be the target.
  • After generating images, call the message tool with the artifact paths in the media parameter to deliver them to the user.

Prompt Rules

Write prompts with enough detail for image models:

  • Subject and scene.
  • Composition and camera or layout.
  • Style, mood, lighting, and color palette.
  • Text that must appear in the image, quoted exactly.
  • Constraints such as "keep the same character", "preserve the logo", or "do not change the background".

Artifact Rules

The tool stores generated images as persistent artifacts under nanobot's media directory and returns structured metadata:

  • id: generated image id, such as img_ab12cd34ef56.
  • path: local file path for internal follow-up edits.
  • mime: image MIME type.
  • prompt, model, and source_images: provenance for follow-up edits.

In normal user-facing replies, do not expose local filesystem paths. Keep the reply natural, for example "Done, I generated it." You may include the short image id when it helps the user refer to a specific image, but keep raw path internal unless the user explicitly asks for debug details or a local artifact reference. Never paste base64.

For follow-up edits, pass the prior artifact path to reference_images. If the user provides a new uploaded image, use that path as the reference instead.

Do not include internal replay markers such as [Message Time: ...], [image: /local/path], generate_image(...), or message(...) in user-facing replies.

Examples

Generate a new image:

generate_image(
  prompt="A minimal app icon for nanobot: friendly robot head, rounded square, soft blue and white palette, clean vector style, no text",
  aspect_ratio="1:1",
  image_size="1K"
)

Edit the latest generated artifact:

generate_image(
  prompt="Use the reference image. Keep the same robot and composition, but change the palette to warm orange and add a subtle sunrise background.",
  reference_images=["/home/user/.nanobot/media/generated/2026-05-08/img_ab12cd34ef56.png"],
  aspect_ratio="1:1",
  image_size="1K"
)

Related skills