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Found 20 Skills
Design multi-stage CI/CD pipelines with approval gates, security checks, and deployment orchestration. Use when architecting deployment workflows, setting up continuous delivery, or implementing GitOps practices.
CI/CD best practices for building automated pipelines, deployment strategies, testing, and DevOps workflows across platforms
Expert full-stack development covering frontend frameworks, backend services, databases, APIs, and deployment for modern web applications.
Deployment automation specialist for CI/CD pipelines and infrastructure. Use when setting up deployment, configuring CI/CD, or managing releases.
Build production-ready systems with stability patterns: circuit breakers, bulkheads, timeouts, and retry logic. Use when the user mentions "production outage", "circuit breaker", "timeout strategy", "deployment pipeline", or "chaos engineering". Covers capacity planning, health checks, and anti-fragility patterns. For data systems, see ddia-systems. For system architecture, see system-design.
Use this skill when setting up CI/CD pipelines, configuring GitHub Actions, implementing deployment strategies, or automating build/test/deploy workflows. Triggers on GitHub Actions, CI pipeline, CD pipeline, deployment automation, blue-green deployment, canary release, rolling update, build matrix, artifacts, and any task requiring continuous integration or delivery setup.
Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.
CI/CD pipelines, infrastructure as code, and deployment strategies
Comprehensive CI/CD pipeline patterns skill covering GitHub Actions, workflows, automation, testing, deployment strategies, and release management for modern software delivery
Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications.
DevOps, MLOps, DevSecOps practices for cloud environments (GCP, Azure, AWS)
Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Synapse Analytics applications. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).