By stared
Google Gemini 3 Pro skills for image generation (Nano Banana Pro) and AI consultation with web search and vision
npx claudepluginhub joshuarweaver/cascade-code-general-misc-4 --plugin stared-gemini-claude-skillsGenerate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.
Get a second opinion from Gemini 3 Pro (gemini-3-pro-preview). Accepts text, code, and images as INPUT. Returns TEXT analysis, advice, and feedback. Use for code review, analyzing screenshots, UX feedback, debugging, architecture review, or web search.
Claude Code skills for integrating Google's Gemini 3 Pro models into your workflow. For more context, see this blog post.
nano-banana-pro)Generate images using Google's advanced Nano Banana Pro model (gemini-3-pro-image-preview).
Capabilities:
1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:91K, 2K, 4Kgemini-consultant)Get a second opinion from Gemini 3 Pro (gemini-3-pro-preview) with Google Search grounding and vision.
Capabilities:
low for speed, high for complex reasoning)You need a Google AI API key with access to Gemini 3 Pro models.
export GEMINI_API_KEY="your-api-key-here"
Get your API key from Google AI Studio.
# In Claude Code, add the marketplace
/plugin marketplace add stared/gemini-claude-skills
# Install the plugin
/plugin install gemini-skills@gemini-claude-skills
Once installed, Claude will automatically use these skills when appropriate. You can also explicitly request them:
"Generate an infographic showing the water cycle"
"Create a 16:9 landscape image of a futuristic city at 4K resolution"
"Ask Gemini what the latest React 19 features are"
"Get a second opinion on this code architecture from Gemini"
"Have Gemini analyze this screenshot" (attach image)
The scripts use uv with inline script dependencies - no manual package installation required. Dependencies are declared in each script:
# /// script
# dependencies = ["google-genai"]
# ///
Piotr Migdał (@pmigdal)
MIT
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