home / skills / tdhopper / dotfiles2.0 / nano-banana-pro
/.claude/skills/nano-banana-pro
This skill helps you generate and edit images using Nano Banana Pro, applying prompts and edits to produce outputs in multiple resolutions.
npx playbooks add skill tdhopper/dotfiles2.0 --skill nano-banana-proReview the files below or copy the command above to add this skill to your agents.
---
name: nano-banana-pro
description: Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
---
# Nano Banana Pro Image Generation & Editing
Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).
## Usage
Run the script using absolute path (do NOT cd to skill directory first):
**Generate new image:**
```bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]
```
**Edit existing image:**
```bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--api-key KEY]
```
**Important:** Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.
## Default Workflow (draft → iterate → final)
Goal: fast iteration without burning time on 4K until the prompt is correct.
- Draft (1K): quick feedback loop
- `uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K`
- Iterate: adjust prompt in small diffs; keep filename new per run
- If editing: keep the same `--input-image` for every iteration until you’re happy.
- Final (4K): only when prompt is locked
- `uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K`
## Resolution Options
The Gemini 3 Pro Image API supports three resolutions (uppercase K required):
- **1K** (default) - ~1024px resolution
- **2K** - ~2048px resolution
- **4K** - ~4096px resolution
Map user requests to API parameters:
- No mention of resolution → `1K`
- "low resolution", "1080", "1080p", "1K" → `1K`
- "2K", "2048", "normal", "medium resolution" → `2K`
- "high resolution", "high-res", "hi-res", "4K", "ultra" → `4K`
## Compression
Images are automatically compressed using pngquant if they exceed the max size (default: 8MB).
- **Enabled by default** - no flag needed
- `--no-compress` - disable compression
- `--max-size 5` - set max size in MB (default: 8.0)
Requires pngquant installed (`brew install pngquant`). If not installed, compression is skipped with a warning.
## API Key
The script checks for API key in this order:
1. `--api-key` argument (use if user provided key in chat)
2. `GEMINI_API_KEY` environment variable
If neither is available, the script exits with an error message.
## Preflight + Common Failures (fast fixes)
- Preflight:
- `command -v uv` (must exist)
- `test -n \"$GEMINI_API_KEY\"` (or pass `--api-key`)
- If editing: `test -f \"path/to/input.png\"`
- Common failures:
- `Error: No API key provided.` → set `GEMINI_API_KEY` or pass `--api-key`
- `Error loading input image:` → wrong path / unreadable file; verify `--input-image` points to a real image
- “quota/permission/403” style API errors → wrong key, no access, or quota exceeded; try a different key/account
## Filename Generation
Generate filenames with the pattern: `yyyy-mm-dd-hh-mm-ss-name.png`
**Format:** `{timestamp}-{descriptive-name}.png`
- Timestamp: Current date/time in format `yyyy-mm-dd-hh-mm-ss` (24-hour format)
- Name: Descriptive lowercase text with hyphens
- Keep the descriptive part concise (1-5 words typically)
- Use context from user's prompt or conversation
- If unclear, use random identifier (e.g., `x9k2`, `a7b3`)
Examples:
- Prompt "A serene Japanese garden" → `2025-11-23-14-23-05-japanese-garden.png`
- Prompt "sunset over mountains" → `2025-11-23-15-30-12-sunset-mountains.png`
- Prompt "create an image of a robot" → `2025-11-23-16-45-33-robot.png`
- Unclear context → `2025-11-23-17-12-48-x9k2.png`
## Image Editing
When the user wants to modify an existing image:
1. Check if they provide an image path or reference an image in the current directory
2. Use `--input-image` parameter with the path to the image
3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
4. Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.
## Prompt Handling
**For generation:** Pass user's image description as-is to `--prompt`. Only rework if clearly insufficient.
**For editing:** Pass editing instructions in `--prompt` (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")
Preserve user's creative intent in both cases.
## Prompt Templates (high hit-rate)
Use templates when the user is vague or when edits must be precise.
- Generation template:
- “Create an image of: <subject>. Style: <style>. Composition: <camera/shot>. Lighting: <lighting>. Background: <background>. Color palette: <palette>. Avoid: <list>.”
- Editing template (preserve everything else):
- “Change ONLY: <single change>. Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, and overall style. Do not add new objects. If text exists, keep it unchanged.”
## Output
- Saves PNG to current directory (or specified path if filename includes directory)
- Script outputs the full path to the generated image
- **Do not read the image back** - just inform the user of the saved path
## Examples
**Generate new image:**
```bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K
```
**Edit existing image:**
```bash
uv run ~/.claude/skills/nano-banana-pro/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K
```
This skill generates and edits images using Nano Banana Pro (Gemini 3 Pro Image). It supports text-to-image and image-to-image workflows, with 1K/2K/4K resolution options and optional input-image editing. The script saves PNG output to your current working directory and prints the output path.
You run the provided script from your current working directory and pass a prompt, filename, resolution, and optional --input-image for edits. The tool chooses resolution defaults, compresses large PNGs with pngquant (unless disabled), and requires an API key via --api-key or GEMINI_API_KEY. It performs preflight checks and returns an error for missing keys, invalid input images, or API permission issues.
What resolution should I choose for first runs?
Use 1K for fast iteration. Move to 2K for refinement and 4K only for final renders to save time and quota.
How does the script find the API key?
It checks --api-key first, then the GEMINI_API_KEY environment variable. If neither is present it exits with an error.
What if my output PNG is too large?
The script uses pngquant to compress images over the max-size (default 8MB). Install pngquant or use --no-compress or --max-size to customize behavior.
How do I make predictable filenames?
Use the pattern yyyy-mm-dd-hh-mm-ss-descriptive-name.png. Include a concise descriptive name or a short random identifier when context is unclear.