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Get Started Free →dicklesworthstone/nano-banana-pro
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image).
6 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 7 comparable cases; this report requires 8.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Create an image of a serene mountain lake at sunrise. Generate the command with an output filename using the standard timestamped naming scheme.
| Checked | Without skill | With skill |
|---|---|---|
| Formats output filename with a 24-hour timestamp in yyyy-mm-dd-hh-mm-ss format. | Missed | Passed |
The instructions your model reads when the skill loads.
Generate new images or edit existing ones using Google's Nano Banana Pro API (Gemini 3 Pro Image).
Run the script using absolute path (do NOT cd to skill directory first):
Generate new image:
uv run {baseDir}/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--api-key KEY]
Edit existing image:
uv run {baseDir}/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.
Goal: fast iteration without burning time on 4K until the prompt is correct.
uv run {baseDir}/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K--input-image for every iteration until you’re happy.uv run {baseDir}/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4KThe Gemini 3 Pro Image API supports three resolutions (uppercase K required):
Map user requests to API parameters:
test cases passed with the skill
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