backend

Create backend endpoints with validation, logging, and error handling.

24|5|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/yves-s/just-ship --skill backend-yves-s
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend
Source: https://github.com/yves-s/just-ship/tree/main/skills/backend
Command: npx skills add https://github.com/yves-s/just-ship --skill backend-yves-s

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backend developers often deliver code that works only in the happy path, lacking proper validation, logging, error handling, and resilience, leading to fragile services that break at 3 am.

Core Features & Use Cases

  • Production‑grade API design: Enforces request validation, standardized response codes, and structured logging.
  • Resilience patterns: Includes timeouts, retries with exponential backoff, circuit breakers, and graceful degradation for external services.
  • Robust error handling & idempotency: Centralized try/catch with context, idempotency keys for safe retries, and safe client error responses.
  • Webhook processing: Fast acknowledgment, signature verification, async queuing, and deduplication.
  • Queue‑based async jobs: Decouples long‑running work, supports dead‑letter queues and reconciliation.

Quick Start

Use the backend skill to create a new API endpoint that validates input, logs execution, and handles failures gracefully.

Frequently Asked Questions about backend

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

FAQPage Schema
How do I build backend API endpoints with proper validation and error handling?

To build production-grade backend API endpoints, enforce request validation, centralized try/catch error handling with context, standardized HTTP status codes, and structured JSON logs to prevent fragile services from breaking under unexpected load.

What is the best way to process incoming webhooks securely and reliably?

The best way to process incoming webhooks securely is to implement fast acknowledgment, cryptographic signature verification, asynchronous queueing for heavy processing, and payload deduplication to ensure reliable webhook handling.

Can I use idempotency keys for safe retries in queue-based async jobs?

Yes, you can use idempotency keys for safe retries in queue-based async jobs by decoupling long-running work, supporting dead-letter queues for failed messages, and enabling reconciliation to guarantee exactly-once processing.

Does this approach support retries with exponential backoff for external integrations?

Yes, this approach supports retries with exponential backoff for external server-side integrations by implementing timeout policies and circuit breakers, ensuring production-grade resilience when external APIs experience transient failures.

Why do my backend services break in production despite passing local tests?

Backend services break in production when code only handles the happy path, lacking centralized error handling, structured logging, and resilience patterns like circuit breakers and graceful degradation needed for real-world API traffic.