openapi-governance
Comprehensive guide to OpenAPI governance, API design standards, automated linting, breaking change detection, and API lifecycle management
浏览 AmnadTaowsoam 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
417收录技能的仓库 Stars 合计
223仓库 Forks
0平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Comprehensive guide to OpenAPI governance, API design standards, automated linting, breaking change detection, and API lifecycle management
Comprehensive guide to choosing and tracking validation metrics that prove product-market fit and drive actionable insights
Standardized commit message formats and conventions for clear, searchable, and automated-friendly version control history.
Patterns and strategies for cache invalidation - one of the two hardest problems in computer science.
Understanding and implementing database locking mechanisms for concurrency control.
Comprehensive guide to writing testable product hypotheses that drive learning and prevent building the wrong things
Comprehensive guide to regression benchmarks for AI systems including test suite creation, CI/CD integration, and continuous benchmarking strategies
Generator สำหรับสร้าง CI/CD pipeline configs (GitHub Actions, GitLab CI) พร้อม testing, linting, building และ deployment
Continuous monitoring and diagnostics for ensuring high availability, performance, and stability of database systems.
Automated code quality enforcement through linting, formatting, and type checking to maintain consistent, error-free codebases.
See the main Schema Drift Detection skill for comprehensive coverage of schema drift detection and management.
Implementing human override capabilities for AI decisions with proper tracking, auditing, and feedback loops.
Policy สำหรับ enforce code quality ผ่าน linting, testing, และ type checking ใน CI pipeline
Advanced WebSocket patterns for real-time bidirectional communication in web applications.
Comprehensive runbooks and playbooks for on-call incident response
Defining clear ownership models and escalation procedures to ensure incidents are handled by the right people at the right time.
Observability standards for services: structured logging schema, metrics naming and label rules, trace context propagation, correlation IDs, sensitive-data handling, and cardinality controls
How to organize and index documentation for humans and AI: taxonomy, metadata, cross-linking, freshness reviews, and automated index generation
Comprehensive onboarding documentation to get new developers productive quickly with clear guides, checklists, and resources.
Comprehensive guide to database transactions, ACID properties, isolation levels, locking, and distributed transactions.
Rapid assessment and initial response processes for production incidents
Techniques and tools for ensuring the accuracy, completeness, and reliability of data across the pipeline.
Implementing human approval and review workflows for AI systems to ensure quality, safety, and compliance.
Architecture patterns and strategies for multi-cloud deployments to avoid vendor lock-in.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。