backend-engineer
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/siviter-xyz/dot-agent --skill backend-engineer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads backend-engineer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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, ORMsreferences/api-design.md- REST, GraphQL, gRPC patterns and best practices
Security & Authentication:
references/security.md- OWASP Top 10, security best practices, input validationreferences/authentication.md- OAuth 2.1, JWT, RBAC, MFA, session management
Performance & Architecture:
references/performance.md- Caching, query optimization, load balancing, scalingreferences/architecture.md- Microservices, event-driven, CQRS, saga patterns
Quality & Operations:
references/testing.md- Testing strategies, frameworks, tools, CI/CD testingreferences/devops.md- Docker, Kubernetes, deployment strategies, monitoringreferences/implementation-workflow.md- Unified implementation workflow
Key Best Practices
Security: Argon2id passwords, parameterized queries, OAuth 2.1 + PKCE, rate limiting, security headers
Performance: Redis caching (90% DB load reduction), database indexing, CDN, connection pooling
Testing: 70-20-10 pyramid (unit-integration-E2E), contract testing for microservices
DevOps: Blue-green/canary deployments, feature flags, Kubernetes, Prometheus/Grafana monitoring, OpenTelemetry tracing
Quick Decision Matrix
| Need | Choose |
|---|---|
| Fast development | Node.js + NestJS |
| Data/ML integration | Python + FastAPI |
| High concurrency | Go + Gin |
| Max performance | Rust + Axum |
| ACID transactions | PostgreSQL |
| Flexible schema | MongoDB |
| Caching | Redis |
| Internal services | gRPC |
| Public APIs | GraphQL/REST |
| Real-time events | Kafka |
Implementation Checklist
API: Choose style → Design schema → Validate input → Add auth → Rate limiting → Documentation → Error handling
Database: Choose DB → Design schema → Create indexes → Connection pooling → Migration strategy → Backup/restore → Test performance
Security: OWASP Top 10 → Parameterized queries → OAuth 2.1 + JWT → Security headers → Rate limiting → Input validation → Argon2id passwords
Testing: Unit 70% → Integration 20% → E2E 10% → Load tests → Migration tests → Contract tests (microservices)
Deployment: Docker → CI/CD → Blue-green/canary → Feature flags → Monitoring → Logging → Health checks
Implementation Workflow
When implementing backend code, follow unified implementation workflow patterns. See references/implementation-workflow.md for details.
FAQ
What does the backend-engineer skill do?
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
How do I install backend-engineer?
Run npx skills add https://github.com/siviter-xyz/dot-agent --skill backend-engineer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/backend-engineer/ (personal) or .claude/skills/backend-engineer/ (project).
Which AI agents can use backend-engineer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is backend-engineer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains backend-engineer?
It is published by siviter-xyz in siviter-xyz/dot-agent. It has 342 recorded installs.
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