Transform team insights into a coding experience with the Quack Companion VSCode extension. This powerful tool uses open-source LLMs for enhanced code generation, making it a strong alternative to GitHub Copilot.
claude install quack-ai/companion-vscodeTransform team insights into a coding experience with the Quack Companion VSCode extension. This powerful tool uses open-source LLMs for enhanced code generation, making it a strong alternative to GitHub Copilot.
1. **Install the Extension**: Install the Quack Companion VSCode extension from the VS Code Marketplace. Ensure you have VS Code version 1.75+ and Node.js 16+ installed. 2. **Configure Your Environment**: Open VS Code settings (Ctrl+, or Cmd+,) and search for `Quack Companion`. Configure: - Default language model (e.g., `llama3` or `mistral`) - API key if using a paid model - Preferred code style (ESLint, Prettier, etc.) 3. **Start a New Project or Open Existing**: Create a new folder for your project or open an existing one. The extension works best with: - Clear project structure - Existing `package.json` or build files - Git repository (recommended for context) 4. **Generate Code Using Prompts**: - Use the extension's chat interface (Ctrl+Shift+P > "Quack Companion: Chat") to describe your requirements. - For inline suggestions, type your prompt in a new file and accept suggestions with Tab. - Example prompt: "Create a REST API endpoint in Express.js to handle user authentication with JWT tokens." 5. **Review and Iterate**: The extension generates code with explanations. Review the generated code in the context of your project. Use the chat interface to: - Request modifications (e.g., "Change the error handling to use custom error classes") - Ask for additional features (e.g., "Add rate limiting to the API") - Request optimizations (e.g., "Optimize the database queries in this function") **Tips for Better Results:** - Provide context: Share relevant parts of your codebase or architecture decisions. - Be specific: Include language, framework, and any constraints (e.g., "Use TypeScript with strict mode"). - Iterate: Start with a high-level prompt, then refine based on the output. - Use the `/edit` command in the chat to modify existing code directly.
Generate code snippets based on team insights
Enhance code quality through AI suggestions
Facilitate code reviews with contextual assistance
Automate repetitive coding tasks
claude install quack-ai/companion-vscodegit clone https://github.com/quack-ai/companion-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.
Use the Quack Companion VSCode extension to generate production-ready code for [PROJECT_NAME] based on the following requirements: [REQUIREMENTS_LIST]. Focus on [PREFERRED_LANGUAGE] and follow [CODING_STANDARDS]. Include error handling, unit tests, and documentation. Generate the code directly in VS Code using the extension's inline suggestions or chat interface.
## Generated React Component for User Dashboard
**File:** `src/components/UserDashboard.tsx`
```typescript
import React, { useState, useEffect } from 'react';
import { fetchUserData } from '../api/userApi';
import { User } from '../types/user';
interface UserDashboardProps {
userId: string;
}
const UserDashboard: React.FC<UserDashboardProps> = ({ userId }) => {
const [user, setUser] = useState<User | null>(null);
const [loading, setLoading] = useState<boolean>(true);
const [error, setError] = useState<string | null>(null);
useEffect(() => {
const loadUserData = async () => {
try {
setLoading(true);
const data = await fetchUserData(userId);
setUser(data);
} catch (err) {
setError(err instanceof Error ? err.message : 'Failed to load user data');
} finally {
setLoading(false);
}
};
loadUserData();
}, [userId]);
if (loading) return <div className="loading-spinner">Loading...</div>;
if (error) return <div className="error-message">Error: {error}</div>;
if (!user) return <div>No user data available</div>;
return (
<div className="user-dashboard">
<h1>Welcome, {user.name}</h1>
<div className="user-details">
<p>Email: {user.email}</p>
<p>Role: {user.role}</p>
<p>Last Active: {new Date(user.lastActive).toLocaleDateString()}</p>
</div>
<div className="user-actions">
<button onClick={() => console.log('Edit profile clicked')}>Edit Profile</button>
<button onClick={() => console.log('Settings clicked')}>Settings</button>
</div>
</div>
);
};
export default UserDashboard;
```
**Unit Tests:** `src/components/UserDashboard.test.tsx`
```typescript
import { render, screen, waitFor } from '@testing-library/react';
import UserDashboard from './UserDashboard';
import { fetchUserData } from '../api/userApi';
jest.mock('../api/userApi');
const mockUser = {
id: '123',
name: 'John Doe',
email: 'john@example.com',
role: 'admin',
lastActive: '2023-10-15T10:00:00Z',
};
describe('UserDashboard', () => {
it('renders user data when loaded', async () => {
(fetchUserData as jest.Mock).mockResolvedValue(mockUser);
render(<UserDashboard userId="123" />);
await waitFor(() => {
expect(screen.getByText('Welcome, John Doe')).toBeInTheDocument();
expect(screen.getByText('john@example.com')).toBeInTheDocument();
});
});
it('shows error message when fetch fails', async () => {
(fetchUserData as jest.Mock).mockRejectedValue(new Error('Failed to fetch'));
render(<UserDashboard userId="123" />);
await waitFor(() => {
expect(screen.getByText(/Error: Failed to fetch/i)).toBeInTheDocument();
});
});
});
```
**Documentation:** Added to `README.md` under the Components section:
```markdown
### UserDashboard
A React component that displays user information and provides basic actions.
#### Props
- `userId` (string): The unique identifier for the user to display
#### Usage
```jsx
<UserDashboard userId="123" />
```
#### Dependencies
- React 18+
- TypeScript
- @testing-library/react (for tests)
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