Total 54,374 skills, Backend Development has 4343 skills
Showing 12 of 4343 skills
Design RESTful APIs following best practices for resource modeling, HTTP methods, status codes, versioning, and documentation. Use when creating new APIs, designing endpoints, or improving existing API architecture.
Complete guide for Go backend development including concurrency patterns, web servers, database integration, microservices, and production deployment
Complete guide for CloudBase cloud functions development - runtime selection, deployment, logging, invocation, and HTTP access configuration.
Load automatically when user asks to learn Medusa development (e.g., "teach me how to build with medusa", "guide me through medusa", "I want to learn medusa"). Interactive guided tutorial where Claude acts as a coding bootcamp instructor, teaching step-by-step with checkpoints and verification.
Complete guide for setting up and handling Dodo Payments webhooks for real-time payment event notifications.
Implement event sourcing and CQRS patterns using event stores, aggregates, and projections. Use when building audit trails, temporal queries, or systems requiring full history.
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
Concurrent operations with asyncio and Tokio, focusing on race condition prevention, resource safety, and performance
Expert API architect specializing in RESTful API design, GraphQL, gRPC, and API security. Deep expertise in OpenAPI 3.1, authentication patterns (OAuth2, JWT), rate limiting, pagination, and OWASP API Security Top 10. Use when designing scalable APIs, implementing API gateways, or securing API endpoints.
Go database integration patterns using sqlx, pgx, and migration tools like golang-migrate
PostgreSQL development best practices for schema design, query optimization, and database administration
Use this skill for general PostgreSQL table design. **Trigger when user asks to:** - Design PostgreSQL tables, schemas, or data models when creating new tables and when modifying existing ones. - Choose data types, constraints, or indexes for PostgreSQL - Create user tables, order tables, reference tables, or JSONB schemas - Understand PostgreSQL best practices for normalization, constraints, or indexing - Design update-heavy, upsert-heavy, or OLTP-style tables **Keywords:** PostgreSQL schema, table design, data types, PRIMARY KEY, FOREIGN KEY, indexes, B-tree, GIN, JSONB, constraints, normalization, identity columns, partitioning, row-level security Comprehensive reference covering data types, indexing strategies, constraints, JSONB patterns, partitioning, and PostgreSQL-specific best practices.