system-boundaries
Defining clear boundaries between systems, services, and modules to manage complexity and enable independent evolution.
Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.
Defining clear boundaries between systems, services, and modules to manage complexity and enable independent evolution.
Comprehensive guide to implementing Role-Based Access Control for enterprise applications with hierarchical roles, custom permissions, and multi-level access
See the main Budget Guardrails skill for comprehensive coverage of cost controls and governance.
Implementing formal agreements between data producers and consumers to ensure data reliability and stability.
Comprehensive guide to enterprise vendor onboarding processes, timelines, requirements, and strategies for accelerating customer acquisition
Protocols for efficiently identifying, retrieving, and combining relevant skills from the index to solve complex problems without context overload.
See the main Infrastructure Sizing skill for comprehensive coverage of right-sizing and autoscaling strategies.
Standard error response taxonomy and envelope for services, including error codes, categories, retryability, correlation IDs, safe messaging, and validation error details
Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.
Practical deployment strategies (rolling, blue-green, canary) for safe releases with rollback, health checks, and database compatibility guidance—without requiring full Kubernetes complexity
Comprehensive guide to backward compatibility rules for APIs, databases, and data contracts with migration strategies and testing approaches
Comprehensive guide to implementing audit trails and logging for AI agents including tracing, observability, compliance, and debugging
Systematic evaluation of architectural trade-offs to make informed decisions balancing competing concerns.
See the main Model Explainability skill for comprehensive XAI coverage.
Systematic approach for breaking down complex, high-level requests into atomic, executable steps to ensure precision and prevent overwhelm.
Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.
Structured approach to deprecating features, APIs, and systems with clear timelines and migration paths.
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
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.