SkillHub ClubAnalyze Data & AIData / AIIntegration

gemini

This skill wraps Google's Gemini CLI to provide AI-powered code analysis and generation within Claude. It offers multiple execution methods, configurable models via environment variables, and clear timeout handling. The Python script has zero dependencies and works cross-platform.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars

2,470

Hot score

Updated

March 20, 2026

Overall rating

A7.6

Composite score

6.9

Best-practice grade

S96.0

Install command

npx @skill-hub/cli install cexll-myclaude-gemini

gemini-clicode-analysisai-integrationpython-script

Repository

cexll/myclaude

Skill path: skills/gemini

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Data / AI, Integration.

Target audience: Developers who want to compare Claude responses with Gemini outputs for code analysis tasks.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: cexll.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

Install gemini into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
Review https://github.com/cexll/myclaude before adding gemini to shared team environments
Use gemini for ai/ml workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
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