Angular Migration
Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and…
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Browse the full catalog → Browse ready-made kits → Build your own set →Build production-ready Node.js backend services with Express/Fastify, implementing middleware…
A production-grade pattern set for building scalable Node.js backends with Express or Fastify, fully written in TypeScript. It covers layered architecture (controller/service/repository), dependency injection, multi-layer security middleware, robust error handling, database integration, and resilience patterns like circuit breakers and connection pooling. Build APIs that survive real traffic, not just demos.
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Inside the run · no black box
The skill assembles a Node.js service in a fixed order, security pipeline first, layers second, failure handling last. This is the actual build sequence:
nodejs-backend-patterns · core
core active · 6 lines
Building REST APIs or microservices in Node.js
Structuring a clean controller/service/repository layered architecture
Implementing JWT auth with refresh tokens and role authorization
Adding Zod validation, Helmet, CORS, and Redis rate limiting
Wrapping database writes in safe transactions
Hardening external API calls with circuit breakers and fallbacks
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Multi-layer defense where any bypassed guard is covered by another
license: perpetualFail-secure defaults that never leak internals or serve corrupt data
license: perpetualIsolated workloads so one heavy query can't starve the whole API
license: perpetualMaintainable, testable code through dependency injection
license: perpetualsubscriptions expire · deeds don't
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Express and Fastify production-ready setup templates
6 parts · one working system · ships instantly by email
For backend engineers building APIs and services in Node.js that must hold up under production load and concurrency.
then this was forged for you.Universal by design: these run in any AI. Delivered in the open Agent Skills + MCP format (native in Claude); ChatGPT, Gemini, Cursor and Copilot adapt the same files their own way.
No, both get production-ready setup templates. The deeper layers, service and repository structure, dependency injection, error hierarchy, Redis caching, are framework-neutral, so the framework choice stays a swap at the edge rather than a rewrite of the core.
External calls are wrapped so consecutive failures trip the breaker, which short-circuits further calls and serves a fallback instead of stacking up timeouts. Combined with connection pooling and workload isolation, one dying dependency or one heavy query can't starve every other request.
Mostly no. The patterns assume long-running server processes: connection pools, warm Redis clients, and middleware chains that amortize their setup cost. In a cold-start, per-invocation world the pooling and caching math changes fundamentally, so serverless needs different plumbing.
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