openapi-governance
Comprehensive guide to OpenAPI governance, API design standards, automated linting, breaking change detection, and API lifecycle management
Browse published AI skills maintained by AmnadTaowsoam. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
417Repository stars across indexed skills
223Repository forks
0Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
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.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.