The cursor-anthropic-skills framework integrates Anthropic Skills into Cursor IDE, helping AI agents to use specialized knowledge and domain expertise for precise user interactions. This ensures enhanced responsiveness and accuracy in various applications.
claude install SteelMorgan/cursor-anthropic-skillsThe cursor-anthropic-skills framework integrates Anthropic Skills into Cursor IDE, helping AI agents to use specialized knowledge and domain expertise for precise user interactions. This ensures enhanced responsiveness and accuracy in various applications.
[{"step":"Enable Anthropic Skills in Cursor","action":"Go to Cursor's settings (Cmd+,), navigate to 'Plugins', and enable the 'Anthropic Skills' plugin. Ensure you're using a compatible model like Claude 4.6 Sonnet or later.","tip":"Check the Cursor documentation for the latest supported models and plugin versions."},{"step":"Select or Import a Skill","action":"Open the 'Skills' panel in Cursor (Cmd+Shift+S) and either select a pre-built Anthropic Skill like 'Payment Processing' or import a custom skill by providing its GitHub repository URL or JSON definition.","tip":"For custom skills, ensure the repository contains a clear README with usage instructions and examples."},{"step":"Define the Task Context","action":"Use the command palette (Cmd+Shift+P) to run 'Skills: Apply Anthropic Skill' and provide a detailed prompt that includes: 1) The specific task (e.g., 'Implement a new API endpoint'), 2) The project path (e.g., '/projects/ecommerce-api'), 3) Relevant files or codebase structure, and 4) Any constraints or requirements (e.g., 'Use TypeScript and Express.js').","tip":"Be as specific as possible about the desired output format, such as code structure, naming conventions, or testing requirements."},{"step":"Review and Iterate","action":"After the AI generates the initial output, review the changes in Cursor's editor. Use the 'Agent Review' feature to analyze the code for potential issues, and iterate by providing feedback or additional prompts to refine the solution.","tip":"Leverage Cursor's 'Debug Mode' to step through the generated code and identify edge cases or optimizations."},{"step":"Integrate and Test","action":"Manually integrate the generated code into your project, set up any required dependencies or environment variables, and run tests to verify functionality. Use Cursor's terminal or integrated test runner to execute tests.","tip":"For complex projects, consider using Cursor's 'Plan Mode' to outline the implementation steps before diving into coding."}]
Enhancing code suggestions with domain-specific knowledge
Automating repetitive coding tasks
Providing context-aware debugging assistance
Facilitating collaborative coding sessions
claude install SteelMorgan/cursor-anthropic-skillsgit clone https://github.com/SteelMorgan/cursor-anthropic-skillsCopy 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 Cursor's cursor-anthropic-skills framework to [TASK] for [PROJECT_NAME]. Leverage Anthropic Skills to ensure the solution is precise and domain-specific. Reference the project's [CODEBASE_PATH] and [RELEVANT_FILES] if needed. Provide actionable steps and code snippets where applicable.
For a project called 'E-Commerce API' located in `/projects/ecommerce-api`, I need to implement a new payment processing feature that integrates with Stripe. Using the cursor-anthropic-skills framework, I first enable the Anthropic Skills plugin in Cursor's settings and select the 'Payment Processing' skill. I then open the command palette (Cmd+Shift+P) and run 'Skills: Apply Anthropic Skill' with the prompt: 'Implement a Stripe payment processing feature for the E-Commerce API. The feature should include: 1) A `/payments` endpoint that accepts payment intents, 2) Validation for payment details, 3) Error handling for failed transactions, 4) Logging for audit purposes. The codebase is in `/projects/ecommerce-api` and uses Express.js with TypeScript.'
The AI generates the following code structure:
```typescript
// src/routes/payments.ts
import express from 'express';
import Stripe from 'stripe';
import { validatePaymentRequest } from '../validators/paymentValidator';
import { logPaymentEvent } from '../services/paymentLogger';
const router = express.Router();
const stripe = new Stripe(process.env.STRIPE_SECRET_KEY!, {
apiVersion: '2023-10-16',
});
router.post('/payments', async (req, res) => {
try {
const { amount, currency, paymentMethodId, customerEmail } = req.body;
// Validate input
const validationResult = validatePaymentRequest({ amount, currency, paymentMethodId });
if (!validationResult.valid) {
return res.status(400).json({ error: validationResult.error });
}
// Create payment intent
const paymentIntent = await stripe.paymentIntents.create({
amount: amount * 100, // Convert to cents
currency,
payment_method: paymentMethodId,
customer_email: customerEmail,
automatic_payment_methods: { enabled: true },
});
// Log the payment attempt
await logPaymentEvent({
event: 'payment_intent_created',
paymentIntentId: paymentIntent.id,
amount,
status: paymentIntent.status,
});
res.json({
clientSecret: paymentIntent.client_secret,
paymentIntentId: paymentIntent.id,
});
} catch (error) {
console.error('Payment processing error:', error);
await logPaymentEvent({
event: 'payment_error',
error: error instanceof Error ? error.message : 'Unknown error',
});
res.status(500).json({ error: 'Payment processing failed' });
}
});
export default router;
```
The AI also provides a test case:
```typescript
// tests/payments.test.ts
import request from 'supertest';
import app from '../src/app';
import { mockStripe } from '../__mocks__/stripe';
describe('Payment Processing', () => {
beforeEach(() => {
mockStripe();
});
it('should create a payment intent with valid data', async () => {
const response = await request(app)
.post('/payments')
.send({
amount: 1000,
currency: 'usd',
paymentMethodId: 'pm_card_visa',
customerEmail: 'user@example.com',
});
expect(response.status).toBe(200);
expect(response.body.clientSecret).toBeDefined();
expect(response.body.paymentIntentId).toMatch(/pi_*/);
});
it('should reject invalid payment requests', async () => {
const response = await request(app)
.post('/payments')
.send({
amount: -100,
currency: 'invalid',
paymentMethodId: '',
});
expect(response.status).toBe(400);
expect(response.body.error).toBeDefined();
});
});
```
Finally, the AI suggests next steps: 1) Add the route to the Express app in `src/app.ts`, 2) Set up environment variables for Stripe keys, 3) Run the tests to verify the implementation, and 4) Deploy the changes to the staging environment for further testing.AI for humanity, built with safety first
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