Gemini CLI on VSCode enables multi-agent AI consultation with Gemini, Claude, GPT-5, and Qwen in a unified development environment. Developers benefit from streamlined AI interactions, reducing context switching and improving productivity. It connects to VSCode, allowing integration into existing workflows.
git clone https://github.com/d3j/gemini-cli-on-vscode.gitGemini CLI on VSCode brings editor integration to multiple AI command-line tools—Gemini, Claude, Codex (GPT-5), and Qwen—allowing developers to run them as editor tabs rather than terminal panels. The extension eliminates context switching by keeping AI interactions visible alongside your code, with a unified MAGUS Council panel for broadcasting a single prompt to multiple AIs simultaneously. Features include one-click batch launching, file/folder sending via context menus, universal history logging to `.history-memo/`, and template management for reusable prompts. Developers gain streamlined workflows with reduced tool fragmentation and improved productivity.
Install prerequisite CLIs (gemini-cli, codex, claude-cli, qwen-code) and authenticate each with their respective accounts. In VSCode, click the editor title bar icon to launch individual CLIs or use MAGUS Council from the sidebar to select multiple AIs and send prompts in batch. Right-click files or selected text to send them to your chosen AI CLIs.
Getting parallel AI consultation on the same code problem from Gemini, Claude, and GPT-5 at once
Sending file paths or selected code to multiple AI CLIs without switching between terminal and editor
Maintaining a unified history log of all AI interactions in Markdown format
Launching and managing four different AI CLI tools from a single VSCode interface
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/d3j/gemini-cli-on-vscodeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm a developer working on a [PROJECT_TYPE] project for [COMPANY] in the [INDUSTRY] sector. I need to [SPECIFIC_TASK] using [TECHNOLOGY_STACK]. Can you provide a step-by-step guide with code examples and best practices for this task?
# AI-Assisted Development Guide for [PROJECT_TYPE] Project
## Overview
You're building a [PROJECT_TYPE] application for [COMPANY] in the [INDUSTRY] sector. This guide will help you [SPECIFIC_TASK] using [TECHNOLOGY_STACK].
## Step-by-Step Implementation
1. **Setup Environment**
- Install required dependencies:
```bash
npm install [DEPENDENCY_1] [DEPENDENCY_2]
```
- Configure environment variables in `.env` file.
2. **Implement Core Functionality**
- Create a new file `src/[SPECIFIC_TASK].js`
- Add the following code:
```javascript
// Import necessary modules
const [MODULE_1] = require('[MODULE_1]');
const [MODULE_2] = require('[MODULE_2]');
// Implement [SPECIFIC_TASK] logic
async function [FUNCTION_NAME](params) {
// Your implementation here
}
module.exports = { [FUNCTION_NAME] };
```
3. **Testing and Debugging**
- Write unit tests in `test/[SPECIFIC_TASK].test.js`
- Run tests using:
```bash
npm test
```
4. **Deployment**
- Build the project:
```bash
npm run build
```
- Deploy to your preferred hosting service.
## Best Practices
- Follow [INDUSTRY] coding standards
- Implement proper error handling
- Optimize performance for [INDUSTRY] requirements
- Document your code thoroughly
## Additional Resources
- [RELEVANT_LINK_1]
- [RELEVANT_LINK_2]Google's multimodal AI model and assistant
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