Total 30,671 skills, Backend Development has 3003 skills
Showing 12 of 3003 skills
Complete guide for Go backend development including concurrency patterns, web servers, database integration, microservices, and production deployment
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.
PocketBase development best practices covering collection design, API rules, authentication, SDK usage, query optimization, realtime subscriptions, file handling, and deployment. Use when building PocketBase backends, designing schemas, implementing access control, setting up auth flows, or optimizing performance.
Expert guidance for Odoo ERP development including Python ORM, XML views, and module architecture
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.
Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Opinionated backend development standards for Node.js + Express + TypeScript microservices. Covers layered architecture, BaseController pattern, dependency injection, Prisma repositories, Zod validation, unifiedConfig, Sentry error tracking, async safety, and testing discipline.
Master JPA/Hibernate - entity design, queries, transactions, performance optimization
Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.
Backend services development with Python emphasizing security, performance, and maintainability for JARVIS AI Assistant