Backend Engineer

This is a comprehensive reference system for production backend development, covering the stack from API design through deployment. You get decision matrices for choosing between Node.js, Python, Go, and Rust based on your constraints, plus detailed guides on security (OWASP Top 10, OAuth 2.1), performance optimization (Redis caching strategies, database indexing), and DevOps practices (Kubernetes, monitoring). The 70-20-10 testing pyramid and concrete implementation checklists are especially useful when you're scoping a new service or debugging why your API is slow. It's opinionated enough to be helpful without forcing a single approach.

skills.sh installs: 349
GitHub stars: 22
last updated: Aug 21, 2026

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Install

$ npx -y skills add siviter-xyz/dot-agent --skill backend-engineer --agent claude-code

Installs into .claude/skills of the current project.

Files

Backend Engineer

Production-ready backend development with modern technologies, best practices, and proven patterns.

When to Use

Designing RESTful, GraphQL, or gRPC APIs
Building authentication/authorization systems
Optimizing database queries and schemas
Implementing caching and performance optimization
OWASP Top 10 security mitigation
Designing scalable microservices
Testing strategies (unit, integration, E2E)
CI/CD pipelines and deployment
Monitoring and debugging production systems

Technology Selection Guide

Languages: Node.js/TypeScript (full-stack), Python (data/ML), Go (concurrency), Rust (performance) Frameworks: NestJS, FastAPI, Django, Express, Gin Databases: PostgreSQL (ACID), MongoDB (flexible schema), Redis (caching) APIs: REST (simple), GraphQL (flexible), gRPC (performance)

See: references/technologies.md for detailed comparisons

Reference Navigation

Core Technologies:

references/technologies.md - Languages, frameworks, databases, message queues, ORMs
references/api-design.md - REST, GraphQL, gRPC patterns and best practices

SKILL.md on GitHub