Agent skill · Backend & API

nanobanana-skill

Generate or edit images using Google Gemini API via nanobanana. Use when the user asks to create, generate, edit images with nanobanana, or mentions image generation/editing tasks.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill nanobanana-skill-fancu1-dotfile --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Path: skills/ai-ml/nanobanana-skill-fancu1-dotfile/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

# Nanobanana Image Generation Skill Generate or edit images using Google Gemini API through the nanobanana tool. ## Requirements 1. **GEMINI_API_KEY**: Must be configured in `~/.nanobanana.env` or `export GEMINI_API_KEY=<your-api-key>` 2. **Python3 with depedent packages installed**: google-genai, Pillow, python-dotenv. They could be installed via `python3 -m pip install -r ~/.codex/skills/nanobanana-skill/requirements.txt` if not installed yet. 3. **Executable**: `~/.codex/skills/nanobanana-skill/nanobanana.py` Example `.nanobanana.env`: ```bash GEMINI_API_KEY=sk-dummy ``` ## Instructions ### For image generation 1. Ask the user for: - What they want to create (the prompt) - Desired aspect ratio/size (optional, defaults to 9:16 portrait) - Output filename (optional, auto-generates UUID if not specified) - Model preference (optional, defaults to gemini-3-pro-image-preview) - Resolution (optional, defaults to 1K) 2. Run the nanobanana script with appropriate parameters: ```bash python3 ~/.codex/skills/nanobanana-skill/nanobanana.py --prompt "description of image" --output "filename.png" ``` 3. Show the user the saved image path when complete ### For image editing 1. Ask the user for

What's inside
Steps it walks through
  1. Requirements
  2. Instructions
  3. For image generation
  4. For image editing
  5. Available Options
  6. Aspect Ratios (--size)
  7. Models (--model)
  8. Resolution (--resolution)
  9. Optional Flags
  10. Examples
  11. Generate a simple image
  12. Generate with specific size and output
  13. Generate landscape image with high resolution
  14. Edit existing images
Ships with 1 file
  • metadata.json
Commands it runs
python3 ~/.codex/skills/nanobanana-skill/nanobanana.py --prompt "description of image" --output "filename.png"
python3 ~/.codex/skills/nanobanana-skill/nanobanana.py --prompt "editing instructions" --input image1.png image2.png --output "edited.png"
python3 ~/.codex/skills/nanobanana-skill/nanobanana.py --prompt "A serene mountain landscape at sunset with a lake"
python3 ~/.codex/skills/nanobanana-skill/nanobanana.py \
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About this skill
What does the nanobanana-skill skill do?

Generate or edit images using Google Gemini API via nanobanana. Use when the user asks to create, generate, edit images with nanobanana, or mentions image generation/editing tasks.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill nanobanana-skill-fancu1-dotfile --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.

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