Agent skill · Backend & API

gemini-imagegen

Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gemini-imagegen-drshailesh88-integrated-content-o-9fa88f0d --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/ai-llm/gemini-imagegen-drshailesh88-integrated-content-o-9fa88f0d/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Gemini Image Generation (Nano Banana Pro) Generate and edit images using Google's Gemini API. The environment variable `GEMINI_API_KEY` must be set. ## Default Model | Model | Resolution | Best For | |-------|------------|----------| | `gemini-3-pro-image-preview` | 1K-4K | All image generation (default) | **Note:** Always use this Pro model. Only use a different model if explicitly requested. ## Quick Reference ### Default Settings - **Model:** `gemini-3-pro-image-preview` - **Resolution:** 1K (default, options: 1K, 2K, 4K) - **Aspect Ratio:** 1:1 (default) ### Available Aspect Ratios `1:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, `21:9` ### Available Resolutions `1K` (default), `2K`, `4K` ## Core API Pattern ```python import os from google import genai from google.genai import types client = genai.Client(api_key=os.environ["GEMINI_API_KEY"]) # Basic generation (1K, 1:1 - defaults) response = client.models.generate_content( model="gemini-3-pro-image-preview", contents=["Your prompt here"], config=types.GenerateContentConfig( response_modalities=['TEXT', 'IMAGE'], ), ) for part in response.parts: if part.text: print(part.text) elif part.inline_data: image = part

What's inside
Steps it walks through
  1. Default Model
  2. Quick Reference
  3. Default Settings
  4. Available Aspect Ratios
  5. Available Resolutions
  6. Core API Pattern
  7. Custom Resolution & Aspect Ratio
  8. Resolution Examples
  9. Aspect Ratio Examples
  10. Editing Images
  11. Multi-Turn Refinement
  12. Prompting Best Practices
  13. Photorealistic Scenes
  14. Stylized Art
Ships with 1 file
  • metadata.json
Commands it runs
file image.png
If output shows "JPEG image data" - rename to .jpg!
More from claude-skill-registry
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About this skill
What does the gemini-imagegen skill do?

Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gemini-imagegen-drshailesh88-integrated-content-o-9fa88f0d --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 majiayu000/claude-skill-registry, a repository with 534 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.

Keep going