backend-development

Develop Go/Fiber backend services with SQL, Redis, and WebSocket patterns.

Updated Feb 12, 2026
One-click install
npx skills add https://github.com/ricardoalejandro/clarin --skill backend-development-ricardoalejandro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-development
Source: https://github.com/ricardoalejandro/clarin/tree/main/.github/skills/backend-development
Command: npx skills add https://github.com/ricardoalejandro/clarin --skill backend-development-ricardoalejandro

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured and opinionated approach to developing performant, scalable, and maintainable backend services for the Clarin CRM, ensuring efficient data handling and robust integration.

Core Features & Use Cases

  • Optimized API Development: Focuses on building fast and efficient RESTful APIs using Go and Fiber.
  • Database Interaction: Guides on writing performant SQL queries, indexing, and batch operations with PostgreSQL via pgx.
  • Caching Strategies: Implements Redis for caching frequently accessed data to reduce database load.
  • Concurrency Patterns: Leverages goroutines for parallel I/O operations.
  • Real-time Updates: Facilitates WebSocket broadcasting for live data synchronization.
  • Use Case: When adding a new feature that requires fetching and displaying a list of leads with their associated tags, use this Skill to ensure the database query is optimized with a JOIN and appropriate indexes, and that the response is paginated.

Quick Start

Use the backend-development skill to add a new API endpoint for retrieving user profiles, ensuring efficient database queries and proper error handling.

Frequently Asked Questions about backend-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I optimize PostgreSQL queries for a Go/Fiber CRM backend?

To optimize PostgreSQL queries in a Go/Fiber CRM backend, implement efficient SQL queries with proper database indexing and batch operations using the pgx driver to reduce latency and ensure fast data retrieval.

What is the best way to implement Redis caching in a Go backend?

The best way to implement Redis caching in a Go backend is to cache frequently accessed data, which reduces database load and significantly improves API response times for high-performance Fiber applications.

How do I handle real-time updates with WebSockets in a Go API?

Handling real-time updates with WebSockets in a Go API involves implementing WebSocket broadcasting to facilitate live data synchronization across connected clients efficiently within your Fiber service.

Can I use goroutines for parallel I/O operations in a Fiber backend?

Yes, you can use goroutines for parallel I/O operations in a Fiber backend to leverage concurrency patterns, allowing your CRM application to handle multiple data tasks simultaneously without blocking API handlers.

How do I structure repository and service logic when building a Go API?

When building a Go API, structure your application by separating API handler implementation, repository design for database interaction, and service logic to ensure maintainable and scalable backend code.

When should I use database JOINs and pagination for fetching CRM leads?

Use database JOINs and pagination when fetching CRM leads with associated tags to optimize the SQL query and ensure the response remains lightweight, preventing the API from returning unoptimized, heavy payloads.