The ai-coding-project-boilerplate provides a strong TypeScript framework tailored for Claude Code, enabling developers to efficiently create and manage specialized AI agents. This production-ready boilerplate enhances productivity and streamlines the development workflow.
claude install shinpr/ai-coding-project-boilerplateThe ai-coding-project-boilerplate provides a strong TypeScript framework tailored for Claude Code, enabling developers to efficiently create and manage specialized AI agents. This production-ready boilerplate enhances productivity and streamlines the development workflow.
["1. Define your project requirements: Identify the specific domain your AI agent will operate in and the key features it needs to support.","2. Choose your integrations: Determine which systems your agent needs to integrate with (e.g., CRM, email, databases).","3. Generate the boilerplate: Use the prompt template to generate a tailored boilerplate for your project.","4. Review and customize: Examine the generated code, ensuring it meets your requirements. Modify as needed to fit your specific use case.","5. Implement and test: Build out the functionality and test thoroughly to ensure reliability and performance."]
Creating AI-driven applications
Rapid prototyping of AI agents
Streamlining TypeScript project setup
Enhancing developer productivity
claude install shinpr/ai-coding-project-boilerplategit clone https://github.com/shinpr/ai-coding-project-boilerplateCopy 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.
Generate a TypeScript boilerplate for an AI agent project focused on [SPECIFIC_DOMAIN]. The agent should include [KEY_FEATURES] and integrate with [INTEGRATIONS]. Ensure the code follows best practices for [SPECIFIC_FRAMEWORK] and includes comprehensive documentation.
Here's a robust TypeScript boilerplate for an AI agent focused on customer support automation:
```typescript
// Main agent class
class CustomerSupportAgent {
constructor() {
this.initialize();
}
private initialize() {
// Initialize integrations
this.emailIntegration = new EmailIntegration();
this.crmIntegration = new CRMIntegration();
this.chatbotIntegration = new ChatbotIntegration();
// Load configuration
this.config = this.loadConfig();
}
// Core support ticket processing method
public async processTicket(ticket: SupportTicket): Promise<void> {
// Validate ticket
if (!this.validateTicket(ticket)) {
throw new Error('Invalid ticket data');
}
// Enrich ticket with customer data
const customerData = await this.crmIntegration.getCustomerData(ticket.customerId);
ticket.customerData = customerData;
// Route ticket to appropriate handler
const handler = this.getHandler(ticket.type);
await handler.process(ticket);
// Update ticket status
await this.crmIntegration.updateTicketStatus(ticket.id, 'In Progress');
}
// ... additional methods
}
// Integration interfaces
interface EmailIntegration {
sendEmail(to: string, subject: string, body: string): Promise<void>;
// ... other email-related methods
}
interface CRMIntegration {
getCustomerData(customerId: string): Promise<CustomerData>;
updateTicketStatus(ticketId: string, status: string): Promise<void>;
// ... other CRM-related methods
}
// ... additional interfaces and utility classes
```
This boilerplate includes:
1. Core agent class with ticket processing logic
2. Integration interfaces for email, CRM, and chatbot systems
3. Basic validation and error handling
4. Configuration management
5. TypeScript interfaces for type safety
The code follows best practices for Node.js and includes JSDoc comments for documentation.save organize and showcase your mental dump
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