DevOps skills

Create, generate, write, or scaffold Terraform .tf HCL — resources, modules, providers, variables, outputs.

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Generate/create Loki configs — ingester, querier, compactor, ruler, S3/GCS/Azure backends.

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Validate, lint, audit, or dry-run Kubernetes manifests (Deployment, Service, ConfigMap, CRD).

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Generate/create/scaffold Kubernetes YAML — Deployment, Service, ConfigMap, Ingress, RBAC, StatefulSet, CRDs.

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Diagnose and fix Kubernetes pods, CrashLoopBackOff, Pending, DNS, networking, storage, and rollout failures with kubectl.

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Generate/create/scaffold Jenkinsfile — declarative, scripted, shared library, CI/CD pipelines.

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Validate, lint, audit, or scan a Dockerfile for security and best practices.

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Create, generate, or write Dockerfiles and multi-stage Docker images. Containerize apps.

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Validate, lint, audit, or review azure-pipelines.yml — syntax, security, best practices.

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Use when adding service-wide Spring Boot 3 Actuator, Micrometer metrics, distributed tracing, OpenTelemetry export, structured logging, health probes, dashboards, or alerts. Combine with ai-observability only for Spring AI-specific token, prompt, and model telemetry.

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Use when packaging a Spring Boot 3 application as an OCI image or GraalVM native executable. Covers buildpacks, layered images, JVM containers, AOT hints, probes, security, and verification.

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Use when adding Spring AI-specific model observations, token usage, latency, externally configured cost attribution, advisor telemetry, or protected prompt and completion logging. Use production-observability for general service metrics, health, logs, and OTLP setup.

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Use when building Spring Cloud Gateway 5 on Spring Boot 4, including WebFlux or Web MVC routes, edge authentication, trusted headers, rate limits, timeouts, and resilience. Do not use for ordinary outbound HTTP clients or domain orchestration.

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Use when adding service-wide Spring Boot 4 Actuator, Micrometer Observation and Tracing, OpenTelemetry or OTLP export, structured logging, health probes, dashboards, or alerts. Combine with ai-observability only for Spring AI-specific token, prompt, and model telemetry.

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Use when packaging Spring Boot 4 as an OCI image, JVM container, AOT application, or GraalVM native executable. Covers buildpacks, layers, runtime hints, probes, security, and verification.

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Use when building or changing a Spring Cloud Gateway on Spring Boot 3. Covers route design, authentication, header hygiene, rate limiting, retries, timeouts, observability, and testing.

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Use when the project follows hexagonal (ports & adapters) architecture. Prevents domain code from depending on Spring or JPA. Use when you see packages like domain/, application/, infrastructure/, or adapters/ in the project structure.

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Analyzes an existing codebase using strategic Domain-Driven Design to discover bounded contexts, surface ubiquitous language and semantic collisions, find places where code boundaries diverge from domain boundaries, and produce an evidence-backed domain and context map. Use when the goal is DDD-specific: bounded context discovery, ubiquitous language analysis, domain model discovery, or mapping contested ownership and responsibility. The entire repository is a valid scope; no module or directory must be named first. Does not assess architectural coupling, cohesion, or technical debt — use architectural-analysis. Does not design service communication, integration patterns, or deployment topology — use architectural-analysis or plan-a-feature. Does not refactor code, diagnose bugs, or review code quality — use refactor, investigate, or code-review.

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Build and deploy serverless functions on AWS Lambda. Configure triggers, manage permissions, and optimize performance. Use when implementing serverless applications.

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Store and rotate secrets in AWS Secrets Manager.

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Configure S3 buckets, policies, and lifecycle rules. Implement versioning, replication, and security. Use when managing object storage on AWS.

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Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.

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Provision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.

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AWS development with infrastructure automation and cloud architecture patterns

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