cexll / gemini

Skill Content

---
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
**Mandatory**: Run via uv with fixed timeout 7200000ms (foreground):
```bash
uv run ~/.claude/skills/gemini/scripts/gemini.py "<prompt>" [working_dir]
```

**Optional** (direct execution or using Python):
```bash
~/.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:

```text
Model response text here...
```

Error format (stderr):

```text
ERROR: Error message
```

### Invocation Pattern

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

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

Alternatives:

```yaml
# 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:**

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

**Code analysis:**

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

**With specific working directory:**

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

**Using python3 directly (alternative):**

```bash
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