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gemini

Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.

Microck☆ 133 Repository stars17 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

Gemini CLI Integration

Overview

Execute Gemini CLI commands with support for multiple models and flexible prompt input. Integrates Google's Gemini AI models into Claude Code workflows.

When to Use

  • Complex reasoning tasks requiring advanced AI capabilities
  • Code generation and analysis with Gemini models
  • Tasks requiring Google's latest AI technology
  • Alternative perspective on code problems

Usage

Mandatory: Run via uv with fixed timeout 7200000ms (foreground):

uv run ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]

Optional (direct execution or using Python):

~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
# or
python3 ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]

Environment Variables

  • GEMINI_MODEL: Configure model (default: gemini-3-pro-preview)
    • Example: export GEMINI_MODEL=gemini-3

Timeout Control

  • Fixed: 7200000 milliseconds (2 hours), immutable
  • Bash tool: Always set timeout: 7200000 for double protection
Parameters
  • prompt (required): Task prompt or question
  • working_dir (optional): Working directory (default: current directory)
Return Format

Plain text output from Gemini:

Model response text here...

Error format (stderr):

ERROR: Error message
Invocation Pattern

When calling via Bash tool, always include the timeout parameter:

Bash tool parameters:
- command: uv run ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"
- timeout: 7200000
- description: <brief description of the task>

Alternatives:

# Direct execution (simplest)
- command: ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"

# Using python3
- command: python3 ~/.claude/skills/gemini/scripts/gemini.py "<prompt>"
Examples

Basic query:

uv run ~/.claude/skills/gemini/scripts/gemini.py "explain quantum computing"
# timeout: 7200000

Code analysis:

uv run ~/.claude/skills/gemini/scripts/gemini.py "review this code for security issues: $(cat app.py)"
# timeout: 7200000

With specific working directory:

uv run ~/.claude/skills/gemini/scripts/gemini.py "analyze project structure" "/path/to/project"
# timeout: 7200000

Using python3 directly (alternative):

python3 ~/.claude/skills/gemini/scripts/gemini.py "your prompt here"

Notes

  • Recommended: Use uv run for automatic Python environment management (requires uv installed)
  • Alternative: Direct execution ./gemini.py (uses system Python via shebang)
  • Python implementation using standard library (zero dependencies)
  • Cross-platform compatible (Windows/macOS/Linux)
  • PEP 723 compliant (inline script metadata)
  • Requires Gemini CLI installed and authenticated
  • Supports all Gemini model variants (configure via GEMINI_MODEL environment variable)
  • Output is streamed directly from Gemini CLI

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-03-11
Index updated
2026-03-11
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

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