About nodejs-backend-patterns
A guidance skill for Node.js backend development, aimed at developers building APIs, microservices, and production services. It covers architectural patterns and implementation practices, with a playbook for detailed examples.
Key features
- 01REST API and GraphQL design
- 02Microservice architecture guidance
- 03Authentication and authorization
- 04Database integration patterns
- 05Middleware and error handling
- 06WebSocket and background job guidance
Use cases
- 01Planning a scalable Node.js backend
- 02Implementing API authentication
- 03Connecting SQL or NoSQL databases
- 04Adding real-time or background processing
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ sickn33/ agentic-awesome-skills --skill nodejs-backend-patternsAfter installing, type/nodejs-backend-patternsin Claude Code to confirm it loaded.
Bundled filesresources/implementation-playbook.md
Details
From the project READMENode.js Backend Patterns
Comprehensive guidance for building scalable, maintainable, and production-ready Node.js backend applications with modern frameworks, architectural patterns, and best practices.
Use this skill when
- Building REST APIs or GraphQL servers
- Creating microservices with Node.js
- Implementing authentication and authorization
- Designing scalable backend architectures
- Setting up middleware and error handling
- Integrating databases (SQL and NoSQL)
- Building real-time applications with WebSockets
- Implementing background job processing
Do not use this skill when
- The task is unrelated to node.js backend patterns
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
- If detailed examples are required, open
resources/implementation-playbook.md.
Resources
resources/implementation-playbook.mdfor detailed patterns and examples.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Comments
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