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Found 1,834 Skills
Implement data quality checks, validation rules, and monitoring. Use when ensuring data quality, validating data pipelines, or implementing data governance.
Generate optimized Docker images for Bun applications. Use when deploying to containers, minimizing image sizes, setting up CI/CD pipelines, or deploying to Kubernetes.
Develops business applications on SAP Business Technology Platform (BTP) using CAP (Node.js/Java) or ABAP Cloud. Use when: building cloud applications on SAP BTP, deploying to Cloud Foundry or Kyma runtimes, integrating with SAP HANA Cloud, implementing SAP Fiori UIs, connecting to remote SAP systems, building multitenant SaaS applications, extending SAP S/4HANA or SuccessFactors, setting up CI/CD pipelines, implementing observability, or following SAP development best practices. Keywords: SAP BTP, Business Technology Platform, CAP, Cloud Application Programming Model, ABAP Cloud, Cloud Foundry, Kyma, SAP HANA Cloud, SAP Fiori, SAPUI5, CI/CD, observability, multitenant, SaaS, SAP BTP ABAP environment, SAP Business Application Studio, SAP Cloud SDK, SAP Integration Suite, SAP Event Mesh, SAP Connectivity Service, SAP Destination Service, XSUAA, OAuth, OpenID Connect, OData, CDS, Core Data Services, ABAP CDS, ABAP RESTful Application Programming Model, RAP, ABAP development, SAP BTP development
Principal backend engineering intelligence for Python AI/ML systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale ML services and pipelines. Focus: data quality, reproducibility, reliability, performance, security, observability, model evaluation, MLOps.
Name a business, product, or service and secure a matching domain. Use when brainstorming names, evaluating name quality, checking domain availability, choosing between name candidates, or planning a domain strategy. Covers naming frameworks, name-quality criteria, trademark basics, domain extensions, and the full name-to-domain pipeline. Trigger on "help me name my business", "name ideas", "find a domain", "business name", "product name", "domain name", "what should I call it", "naming strategy", "check domain availability".
ASP.NET Core Web API implementation: clean controllers with CQRS, global error handling, model validation, Swagger/OpenAPI, API versioning, security (CORS, auth), middleware pipeline, and performance patterns. Use when creating or editing controllers, filters, middleware, Program.cs, or API endpoints.
Comprehensive GitOps methodology and principles skill for cloud-native operations. Use when (1) Designing GitOps architecture for Kubernetes deployments, (2) Implementing declarative infrastructure with Git as single source of truth, (3) Setting up continuous deployment pipelines with ArgoCD/Flux/Kargo, (4) Establishing branching strategies and repository structures, (5) Troubleshooting drift, sync failures, or reconciliation issues, (6) Evaluating GitOps tooling decisions, (7) Teaching or explaining GitOps concepts and best practices, (8) Deploying ArgoCD on Azure Arc-enabled Kubernetes or AKS with workload identity. Covers the 4 pillars of GitOps (OpenGitOps), patterns, anti-patterns, tooling ecosystem, Azure Arc integration, and operational guidance.
Configure the OpenTelemetry Collector with Sentry Exporter for multi-project routing and automatic project creation. Use when setting up OTel with Sentry, configuring collector pipelines for traces and logs, or routing telemetry from multiple services to Sentry projects.
Concurrency safety patterns for distributed pueue + mise + systemd-run job pipelines. TRIGGERS - queue pueue jobs, deploy to remote host, concurrent job collisions, checkpoint races, resource guards, cgroup memory limits, systemd-run, autoscale, batch processing safety, job parameter isolation.
Comprehensive toolkit for generating best practice Fluent Bit configurations. Use this skill when creating new Fluent Bit configs, implementing log collection pipelines (INPUT, FILTER, OUTPUT sections), or building production-ready telemetry configurations.
Databricks CLI operations: auth, profiles, Unity Catalog, data exploration, jobs, pipelines, clusters, model serving, bundles and more. Contains up-to-date guidelines for all Databricks CLI tasks, useful for all Databricks-related tasks.
Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.