Comprehensive backend development guidance covering modern languages, frameworks, APIs, security, and production patterns.
Works with
Covers multiple language and framework choices (Node.js/NestJS, Python/FastAPI, Go, Rust) with decision matrices for selecting the right stack
Includes security best practices aligned with OWASP Top 10 2025, authentication patterns (OAuth 2.1, JWT, RBAC), and input validation strategies
Addresses scalability and performance through caching, database optimization,
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionbackend-developmentExecute the skills CLI command in your project's root directory to begin installation:
Fetches backend-development from mrgoonie/claudekit-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate backend-development. Access via /backend-development in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Production-ready backend development with modern technologies, best practices, and proven patterns.
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/backend-technologies.md for detailed comparisons
Core Technologies:
backend-technologies.md - Languages, frameworks, databases, message queues, ORMsbackend-api-design.md - REST, GraphQL, gRPC patterns and best practicesSecurity & Authentication:
backend-security.md - OWASP Top 10 2025, security best practices, input validationbackend-authentication.md - OAuth 2.1, JWT, RBAC, MFA, session managementPerformance & Architecture:
backend-performance.md - Caching, query optimization, load balancing, scalingbackend-architecture.md - Microservices, event-driven, CQRS, saga patternsQuality & Operations:
backend-testing.md - Testing strategies, frameworks, tools, CI/CD testingbackend-code-quality.md - SOLID principles, design patterns, clean codebackend-devops.md - Docker, Kubernetes, deployment strategies, monitoringbackend-debugging.md - Debugging strategies, profiling, logging, production debuggingbackend-mindset.md - Problem-solving, architectural thinking, collaborationSecurity: Argon2id passwords, parameterized queries (98% SQL injection reduction), OAuth 2.1 + PKCE, rate limiting, security headers
Performance: Redis caching (90% DB load reduction), database indexing (30% I/O reduction), CDN (50%+ latency cut), connection pooling
Testing: 70-20-10 pyramid (unit-integration-E2E), Vitest 50% faster than Jest, contract testing for microservices, 83% migrations fail without tests
DevOps: Blue-green/canary deployments, feature flags (90% fewer failures), Kubernetes 84% adoption, Prometheus/Grafana monitoring, OpenTelemetry tracing
| 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 |
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
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Solid pick for teams standardizing on skills: backend-development is focused, and the summary matches what you get after install.
We added backend-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
backend-development fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
backend-development reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for backend-development matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for backend-development matched our evaluation — installs cleanly and behaves as described in the markdown.
backend-development reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend backend-development for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in backend-development — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added backend-development from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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