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Generate or edit images using Google Gemini API via nanobanana.
Passed 5 of 11 test cases with the skill, and 3 of 11 without it.
and 5 more in the full report
5 fixed4 passed either way11 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which requirements file should I install via pip to set up the necessary Python dependencies like google-genai and Pillow for the nanobanana skill tool?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/requirements.txt | Missed | Passed |
The instructions your model reads when the skill loads.
Generate or edit images using Google Gemini API through the nanobanana tool.
~/.nanobanana.env or export GEMINI_API_KEY=<your-api-key>python3 -m pip install -r ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/requirements.txt if not installed yet.${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.pyAsk the user for:
Run the nanobanana script with appropriate parameters:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py --prompt "description of image" --output "filename.png"
Show the user the saved image path when complete
Ask the user for:
Run with input images:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/nanobanana-skill/nanobanana.py --prompt "editing instructions" --input image1.png image2.png --output "edited.png"
test cases passed, vs 3 / 11 without
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