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This skill should be used when generating and editing images using the Gemini API (Nano Banana Pro). It applies 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.
Passed 20 of 22 test cases with the skill, and 11 of 22 without it.
and 8 more in the full report
9 fixed11 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a Python snippet using google-genai to generate a square avatar photo using default resolution.
| Checked | Without skill | With skill |
|---|---|---|
| The ImageConfig aspect_ratio is set to "1:1". | Passed | Passed |
| The ImageConfig image_size is set to "1K". | Missed | Passed |
The instructions your model reads when the skill loads.
Generate and edit images using Google's Gemini API. The environment variable GEMINI_API_KEY must be set.
| 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.
gemini-3-pro-image-preview1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9
1K (default), 2K, 4K
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'],
test cases passed, vs 11 / 22 without
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