performance-testing-standards
Performance Test Types:
4
0
2025年10月25日 03:40
williamzujkowski
williamzujkowski/standards下载技能文件
下载包含 SKILL.md 和所有相关文件的完整技能目录
相关技能
database-advanced-optimization
williamzujkowski
Use SQL (PostgreSQL) when:
infrastructure-as-code
williamzujkowski
Basic Resource:
ci-cd
williamzujkowski
CI/CD pipeline standards for GitHub Actions, GitLab CI, and deployment automation. Covers testing gates, security scanning, artifact management, and deployment strategies for reliable software delivery.
advanced-kubernetes
williamzujkowski
Custom Resource Definitions (CRDs) extend Kubernetes API with custom object types. Operators are controllers that manage these custom resources using domain-specific logic.
serverless
williamzujkowski
Benefits:
aws-advanced-patterns
williamzujkowski
Orchestration & Events:
service-mesh
williamzujkowski
A service mesh is an infrastructure layer that provides transparent service-to-service communication with built-in observability, traffic management, and security features without requiring application code changes.
vue-frontend
williamzujkowski
Composition API vs Options API
react-native-mobile
williamzujkowski
React Native mobile development covering iOS and Android cross-platform apps, navigation, state management, native modules, and performance optimization for production-ready mobile applications
react-frontend
williamzujkowski
React frontend standards covering hooks (useState, useEffect, useContext, custom hooks), state management (Context API, Redux, Zustand), performance optimization (memoization, lazy loading, code splitting), testing with React Testing Library, and accessibility (WCAG 2.1, ARIA) for modern SPAs
go-coding-standards
williamzujkowski
Go coding standards following idiomatic Go patterns, error handling, concurrency best practices, and modern Go tooling. Use for Go projects requiring clean, efficient, production-ready code with comprehensive testing.
python-coding-standards
williamzujkowski
Python coding standards following PEP 8, type hints, testing best practices, and modern Python patterns. Use for Python projects requiring clean, maintainable, production-ready code with comprehensive testing.