backend-patterns_skill

This skill helps you design scalable backend APIs, optimize queries, and implement patterns for Node.js, Express, and Next.js API routes.
  • JavaScript

46.5k

GitHub Stars

1

Bundled Files

3 weeks ago

Catalog Refreshed

2 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstart where the catalogue uses aiagentskills.

npx veilstart add skill affaan-m/everything-claude-code --skill backend-patterns

  • SKILL.md13.5 KB

Overview

This skill packages battle-tested backend architecture patterns and practical guidance for Node.js, Express, and Next.js API routes. It focuses on API design, repository/service layers, database optimization, caching, error handling, auth, rate limiting, background jobs, and observability. Use it to design maintainable, performant server-side systems and to standardize common implementation patterns.

How this skill works

The skill inspects common server responsibilities and recommends concrete patterns: resource-based REST routing, repository and service separation, middleware composition, and cache-aside strategies with Redis. It highlights query optimization, N+1 prevention, transaction usage, structured logging, centralized error handling, and simple job/queue approaches. Each pattern includes implementation notes and code-level examples you can adapt to Node.js, Express, or Next.js API routes.

When to use it

  • Designing or refactoring REST or GraphQL endpoints for clarity and consistency
  • Separating business logic from data access using repository/service layers
  • Optimizing database access to avoid N+1 queries and reduce payloads
  • Adding caching, rate limiting, or background job processing
  • Implementing authentication, role-based permissions, and secure token validation

Best practices

  • Prefer resource-based routes and clear query parameters for filtering/pagination
  • Select only needed columns and batch related queries to prevent N+1
  • Keep middleware small and composable (auth, logging, rate limiting)
  • Use cache-aside with TTLs and explicit invalidation for mutable resources
  • Centralize errors and validation to return consistent responses and proper status codes

Example use cases

  • Build a Markets API with repository + cached repository layers and Redis TTLs
  • Wrap Next.js API routes with auth middleware that attaches user context
  • Implement a vector-search service that uses embeddings, service-layer sorting, and batched DB fetches
  • Add an exponential-backoff retry wrapper for unstable external APIs
  • Queue indexing jobs to run asynchronously instead of blocking request handlers

FAQ

Add a service layer when business logic grows, needs reuse, or requires orchestration across repositories; for small CRUD endpoints a thin controller may be sufficient.

How do I avoid cache staleness?

Combine short TTLs, explicit cache invalidation on writes, and publish/subscribe invalidation for distributed systems; favor cache-aside for consistency.

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