Implement comprehensive health check endpoints for liveness, readiness, and dependency monitoring. Use when deploying to Kubernetes, implementing load balancer health checks, or monitoring service availability.
Set up Prometheus monitoring for applications with custom metrics, scraping configurations, and service discovery. Use when implementing time-series metrics collection, monitoring applications, or building observability infrastructure.
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
Set up comprehensive infrastructure monitoring with Prometheus, Grafana, and alerting systems for metrics, health checks, and performance tracking.
Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or debugging.
Implement comprehensive security audit logging for compliance, forensics, and SIEM integration. Use when building audit trails, compliance logging, or security monitoring systems.
Add a new Homematic device type with DeviceProfileRegistry registration, custom data point class, and tests. Use when the user wants to add support for a new device model.
Initialize and manage specification directories with auto-incrementing IDs. Use when creating new specs, checking spec status, tracking user decisions, or managing the docs/specs/ directory structure. Maintains README.md in each spec to record decisions (e.g., PRD skipped), context, and progress. Orchestrates the specification workflow across PRD, SDD, and PLAN phases.
Detect divergence between specifications and implementation during development. Use during implementation phases to identify scope creep, missing features, contradictions, or extra work not in spec. Logs drift decisions to spec README.
Pipeline design, deployment strategies (blue-green, canary, rolling), and CI/CD platform patterns. Use when designing pipelines, implementing deployments, configuring quality gates, or setting up automated release workflows. Covers GitHub Actions, GitLab CI, and platform-agnostic patterns.
Create and validate implementation plans (PLAN). Use when planning implementation phases, defining tasks, sequencing work, analyzing dependencies, or working on implementation-plan.md files in docs/specs/. Includes TDD phase structure and specification compliance gates.
Monitoring strategies, distributed tracing, SLI/SLO design, and alerting patterns. Use when designing monitoring infrastructure, defining service level objectives, implementing distributed tracing, creating alert rules, building dashboards, or establishing incident response procedures. Covers the three pillars of observability and production readiness.
Instrument CommandKit bots with @commandkit/analytics. Use for provider setup, event taxonomy, runtime telemetry controls, and privacy-aware analytics design.
Use this skill when the user wants to set up or configure tsk Docker container images, customize their tsk.toml for Docker builds, configure stack/agent/project layers, or troubleshoot tsk container build issues.
Configure Claude Code sandbox network isolation with trusted domains, custom access policies, and environment variables
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. Covers Lambda with TypeScript/Python, API Gateway (REST/HTTP), DynamoDB, Step Functions, EventBridge, SQS, SNS, and serverless patterns. Essential when user mentions serverless, Lambda, API Gateway, event-driven, async processing, queues, pub/sub, or wants to build scalable serverless applications with AWS best practices.
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.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
