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name: gemini-consultant description: Get a second opinion from Gemini 3 Pro with Google Search grounding and vision. Use when you need real-time web information, want to verify facts, need a different perspective on a technical question, want to consult another AI model, or need to analyze images. allowed-tools: Bash, Read

Gemini Consultant

Get a second opinion from Google's Gemini 3 Pro (gemini-3-pro-preview) with real-time Google Search grounding and vision capabilities.

Prerequisites

The user must have GEMINI_API_KEY environment variable set with a valid Google AI API key.

Usage

The script is located in the same directory as this SKILL.md file. Run it with uv run:

uv run /path/to/skills/gemini-consultant/consult.py "your question here"

When this skill is invoked, locate consult.py in the skill directory and run it.

Parameters

Parameter	Required	Description
question	Yes	The question to ask Gemini
-c, --context	No	Additional context to include (code snippets, background info)
-i, --image	No	Image file(s) to analyze (can be used multiple times)
--media-resolution	No	Image resolution: low (280 tokens), medium (560, default), high (1120), ultra_high
--no-search	No	Disable Google Search grounding (use pure model knowledge)
--thinking	No	Reasoning depth: low (faster) or high (deeper, default)

Examples

Simple question with web search:

uv run consult.py "What is the latest version of Python and its new features?"

Question with context:

uv run consult.py "What could cause this error?" -c "TypeError: Cannot read property 'map' of undefined"

Fast response without deep reasoning:

uv run consult.py "Quick summary of REST vs GraphQL" --thinking low

Without web search (pure model knowledge):

uv run consult.py "Explain the CAP theorem" --no-search

Analyze an image:

uv run consult.py "What's in this image?" -i screenshot.png

Analyze multiple images:

uv run consult.py "Compare these two diagrams" -i diagram1.png -i diagram2.png

High-resolution image analysis (for fine text or small details):

uv run consult.py "Read the text in this image" -i document.png --media-resolution high

When to Use

• Real-time information: Current events, latest releases, recent updates
• Fact verification: Double-check information with web sources
• Second opinion: Get an alternative perspective on technical decisions
• Web research: Find current documentation, tutorials, or solutions
• Image analysis: Analyze screenshots, diagrams, photos, or any visual content
• Compare images: Analyze multiple images together

Output

The script prints:

• The model's response
• Sources/citations from Google Search (when grounding is enabled)