myclaude/skills/gemini/SKILL.md

name, description

name	description
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.

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_TIMEOUT environment variable (in milliseconds)
• Bash tool: Always set timeout: 7200000 parameter for double protection

Parameters

• -m, --model (optional): Model to use (default: gemini-2.5-pro)
  • gemini-2.5-pro: Latest flagship model
  • gemini-2.5-flash: Fast, efficient model
  • gemini-1.5-pro: Previous generation
• -p, --prompt (required): Task prompt or question
• working_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 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
• Output is streamed directly from Gemini CLI