| name | gemini |
| description | Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks. |
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
推荐方式(使用 uv run,自动管理 Python 环境):
uv run ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir]
备选方式(直接执行或使用 Python):
~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir]
# 或
python3 ~/.claude/skills/gemini/scripts/gemini.py -m <model> -p "<prompt>" [working_dir]
Timeout Control
- Built-in: Script enforces 2-hour timeout by default
- Override: Set
GEMINI_TIMEOUTenvironment variable (in milliseconds) - Bash tool: Always set
timeout: 7200000parameter for double protection
Parameters
-m, --model(optional): Model to use (default: gemini-2.5-pro)gemini-2.5-pro: Latest flagship modelgemini-2.5-flash: Fast, efficient modelgemini-1.5-pro: Previous generation
-p, --prompt(required): Task prompt or questionworking_dir(optional): Working directory (default: current)
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 -m gemini-2.5-pro -p "<prompt>"
- timeout: 7200000
- description: <brief description of the task>
Alternatives:
# Direct execution (simplest)
- command: ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "<prompt>"
# Using python3
- command: python3 ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "<prompt>"
Examples
Basic query:
# Recommended: via uv run
uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "explain quantum computing"
# timeout: 7200000
# Alternative: direct execution
~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "explain quantum computing"
Code analysis:
uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-flash -p "review this code for security issues: $(cat app.py)"
# timeout: 7200000
With specific working directory:
uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "analyze project structure" "/path/to/project"
# timeout: 7200000
Using fast model:
uv run ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-flash -p "quick code suggestion"
# timeout: 7200000
Using python3 directly (alternative):
python3 ~/.claude/skills/gemini/scripts/gemini.py -m gemini-2.5-pro -p "your prompt here"
Notes
- Recommended: Use
uv runfor 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
- Output is streamed directly from Gemini CLI