Découvrez les skills devops architecture patterns, comparez leurs dépôts et consultez leurs instructions.
Writing maintainable code - readability principles, SOLID patterns applied pragmatically, and the judgment to know when rules should bendUse when "code quality, clean code, readability, naming, SOLID, refactor,...
World-class DevOps engineering - cloud architecture, CI/CD pipelines, infrastructure as code, and the battle scars from keeping production running at 3amUse when "devops, infrastructure, deployment, ci/cd, dock...
Build and maintain digital twins - virtual representations of physical systems that synchronize with real-world counterparts for monitoring, prediction, and optimization. Use when "digital twin, virtual model,...
Resilience testing specialist for failure injection, game day planning, and building confidence in system reliabilityUse when "chaos engineering, resilience testing, failure injection, game day, fault tolerance...
Use when designing disaster recovery strategies, defining RPO/RTO targets, implementing failover mechanisms, or conducting chaos engineering tests - covers active-active, pilot light, and backup strategiesUse w...
Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming m...
Go is the language of infrastructure. From Docker to Kubernetes to the entire cloud-native ecosystem, Go powers the systems that run the internet. It's not about what you can build - it's about what you won't b...
Use when implementing Sarbanes-Oxley compliance, internal controls, audit trails, segregation of duties, or continuous monitoring - covers COSO framework and IT general controlsUse when ", " mentioned.
Use when designing enterprise systems, applying TOGAF framework, creating capability maps, implementing domain-driven design, or planning technology transformations - covers ADM phases, architecture domains, an...
Expert at building resilient applications through proper error handling. Covers Result types, error boundaries, try-catch patterns, typed errors, and graceful degradation. Use when "error handling, try catch, e...
Patterns for developing robotics applications with ROS2 (Robot Operating System 2). Covers nodes, topics, services, actions, launch files, lifecycle management, real-time considerations, and common pitfalls. Us...
Event sourcing and CQRS expert for AI memory systemsUse when "event sourcing, event store, cqrs, nats jetstream, kafka events, event projection, replay events, event schema, event-sourcing, cqrs, nats, kafka, p...
Design and implement discrete event simulations (DES) for systems where state changes occur at discrete time points: queues, manufacturing, logistics, networks. Use when "discrete event, DES simulation, queuing...
Software architecture and system design - scalability patterns, reliability engineering, and the art of making technical trade-offs that survive productionUse when "system design, architecture, scalability, how...
Comprehensive ML model evaluation with multiple metrics, cross-validation, and statistical testing. Activates for "evaluate model", "model metrics", "model performance", "compare models", "validation metrics",...
Technical Lead that implements code ONE FILE AT A TIME to prevent crashes. Handles code review, best practices, mentorship, implementation planning. **CRITICAL CHUNKING RULE - Large implementations (auth system...
Manages ML experiment tracking with MLflow, Weights & Biases, or SpecWeave's built-in tracking. Activates for "track experiments", "MLflow", "wandb", "experiment logging", "compare experiments", "hyperparameter...
Kafka Streams topology design expert. Covers KStream vs KTable vs GlobalKTable, topology patterns, stream operations (filter, map, flatMap, branch), joins, windowing strategies, and exactly-once semantics. Acti...
Detects multi-repo architecture from user prompts and guides setup. Activates for: multiple repos, 3 repos, frontend repo, backend repo, shared library repo, monorepo services, microservices, separate repos, FE...
Comprehensive feature engineering for ML pipelines: data quality assessment, feature creation, selection, transformation, and encoding. Activates for "feature engineering", "create features", "feature selection...
Computer vision ML pipelines for image classification, object detection, semantic segmentation, and image generation. Activates for "computer vision", "image classification", "object detection", "CNN", "ResNet"...
Expert in building scalable design systems with Atomic Design, design tokens, theming, and component libraries. Activates for design system, design tokens, atomic design, component library, design patterns, the...
Expert in analyzing and recommending release strategies for software projects. Detects existing release patterns in brownfield projects (git tags, CI/CD workflows, changelogs, version files). Suggests optimal s...
Anomaly and outlier detection using Isolation Forest, One-Class SVM, autoencoders, and statistical methods. Activates for "anomaly detection", "outlier detection", "fraud detection", "intrusion detection", "abn...
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.