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ThilinaTLMThilinaTLM/agent-skills/imagegen/SKILL.md

imagegen

Skill4 starsChanged 6 months agoMITView on GitHub

This skill should be used when the user asks to "generate an image", "create a cover image", "make an illustration", "generate artwork", "create a hero image", "generate a logo", "make a banner", "create an image for", "generate a thumbnail", "make an icon", "create visual content", "edit this image", "restyle this image", "compose these images", or needs AI-generated or AI-edited images for their project. Provides a CLI with JSON output optimized for LLM consumption.

  • Reads credentials

46 other projects use a version of this.

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Used with

Projects with it also use send-user-message, tinyagi-admin and 10 more.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 2 are distinctive, and 5 are very specific to this project.

  • 0

    Common

    Most of the 41 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Always run imagegen generate --help to discover current flags and defaults.

    line 15
  2. Very specific:

    If none is found, the CLI returns code: "API_KEY_MISSING" with a recovery hint.

    line 25
  3. Very specific:

    Use the default for almost everything.

    line 37
  4. Very specific:

    Always pass --output <path> and place the file in a project-appropriate assets directory (e.g.

    line 51
  5. Very specific:

    After the call returns ok:true, use the Read tool on the produced file path to confirm the image landed and looks right.

    line 52
  6. Distinctive:

    Never generate copyrighted characters, real people's likenesses, or harmful content.

    line 53
  7. Distinctive:

    Add or remove elements from an existing image.

    line 59

“Common” is measured: kept by at least 6 in 10 of the 41 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

imagegen

Text-to-image and image-editing CLI backed by Google Gemini's Nano Banana 2 family. JSON output.

CLI

  • Path: ./imagegen-cli/imagegen (relative to this SKILL.md).
  • Requires uv (install). First call provisions the Python environment automatically.
  • Subcommands: generate (alias gen). Pass --image <path> (repeatable) to edit, restyle, or compose existing images instead of generating from scratch.
  • Always run imagegen generate --help to discover current flags and defaults. Do not memorize flag values — they evolve with the API.

API key

The CLI looks for the key in this order:

  1. GEMINI_API_KEY environment variable.
  2. .gemini-key file (raw key, no quotes) found by walking up from the current working directory — project-local override. Add .gemini-key to .gitignore.
  3. ~/.gemini-key in the user's home directory — machine-wide default.

If none is found, the CLI returns code: "API_KEY_MISSING" with a recovery hint. Get a key at https://aistudio.google.com/apikey.

Models

The --model choice gates which other flags work. Pick the cheapest that meets the need.

ModelSizes (--size)Aspect ratios (--aspect-ratio)--thinkingMax --image inputs
gemini-3.1-flash-image-preview (default)512, 1K, 2K, 4K1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9minimal (def.) / high14
gemini-3-pro-image-preview1K, 2K, 4K1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9always on, not user-set14
gemini-2.5-flash-imagenot configurable1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9n/a3

Use the default for almost everything. Switch to gemini-3-pro-image-preview for high-stakes assets (legible long text, complex multi-element compositions). Switch to gemini-2.5-flash-image only for cost reasons on simple prompts.

Prompting (these are thinking, creative models)

These models reason about composition and fill creative gaps on their own. Provide intent and context — not exhaustive specs.

  • Give what only the user knows: brand, audience, where the asset goes, mood, must-include elements, must-avoid elements.
  • Let the model choose lens, lighting, palette, and layout unless the user specified them.
  • One narrative sentence beats a tag list. Describe the scene, not keywords.
  • For exclusions, prefer rewriting the prompt positively (e.g. "an empty street" instead of --negative-prompt "people, cars"). Use --negative-prompt only as a last resort.
  • Iterate by saving the output and re-invoking with --image <previous-output> plus a small directive (e.g. "warmer lighting, keep everything else").

Output rules

  • Always pass --output <path> and place the file in a project-appropriate assets directory (e.g. src/assets/, public/images/). Use a descriptive filename matching the content.
  • After the call returns ok:true, use the Read tool on the produced file path to confirm the image landed and looks right.
  • Never generate copyrighted characters, real people's likenesses, or harmful content.

Editing / composition

Pass --image <path> one or more times in addition to the prompt. Same generate command. Examples of when to use it:

  • Add or remove elements from an existing image.
  • Apply a style transfer.
  • Compose a scene from multiple references (e.g. a model + a garment).
  • Maintain character consistency across renders.
  • Refine a previous generation.

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