Browse Skills

Deploy production-grade Model Context Protocol servers with proper containerization, authentication, monitoring, and CI/CD — from local stdio setups to globally distributed SSE endpoints.

Design, author, and maintain operational runbooks that enable on-call engineers to diagnose and resolve incidents faster with structured response procedures, escalation frameworks, and toil reduction strategies.

Optimize surface-mount technology production line performance through systematic OEE analysis, six big losses reduction, changeover optimization, and first pass yield improvement using TPM methodology and electronics manufacturing standards.

Design resilient n8n workflows with intelligent retry strategies, error routing, dead letter queues, and alerting — transforming fragile automations into production-ready systems.

Designs optimal database replication topologies balancing durability, availability, performance, and operational complexity across relational and distributed systems.

Designs and provisions production-grade Google Cloud data platform infrastructure using Terraform. Covers BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, IAM, networking, and cost optimization with reusable module patterns.

Guide teams in adopting trunk-based development with short-lived branches, feature flags, fast pre-merge checks, and continuous deployment to reduce integration risk and accelerate delivery.

Design and implement canary release strategies with automated analysis, traffic shifting policies, rollback triggers, and compliance-ready governance for progressive delivery pipelines.

Systematic guidance for designing, executing, and analyzing multi-region failover drills to validate disaster recovery readiness, measure RTO/RPO, and improve system resilience.

Design and optimize CI/CD pipelines for monorepo architectures. Provides task orchestration, caching strategies, affected-command patterns, and release coordination for multi-package repositories using Nx, Turborepo, or Bazel.

Design, optimize, and scale GitLab CI/CD pipelines for any project size. Produces production-ready .gitlab-ci.yml configurations with caching, parallelization, security scanning, and compliance patterns.

Expert guidance for deploying and managing containerized applications on Google Cloud Run — from container optimization and autoscaling to IAM security, VPC networking, and cost management.

Design declarative delivery workflows using ArgoCD, Flux, or similar GitOps tools with drift reconciliation, progressive delivery, and multi-cluster strategies.

Design CDN architectures with edge functions, caching strategies, cache invalidation patterns, and geographic routing for optimal web performance and scalability.

Design and operate Terraform state management strategies including remote backends, state locking, workspace topology, state splitting, migration, and disaster recovery for team-scale infrastructure-as-code workflows.

Deploy, optimize, and operate web applications on Vercel with production-grade configuration, serverless function tuning, edge caching, security hardening, and cost optimization.

Design progressive delivery strategies using feature flags for safe rollouts, experimentation, and operational control.

Design and implement production-grade Azure infrastructure using Terraform with enterprise landing zone patterns, module composition, security hardening, and cost optimization.

Build production-grade applications on Firebase with expert guidance on Firestore data modeling, Security Rules, Cloud Functions, Authentication, and cost optimization.

Apply SRE error budget principles to frontend applications — define client-side SLIs/SLOs, implement burn rate alerting, and use error budgets to balance feature velocity with frontend reliability.

Design production-grade AWS Step Functions workflows with proper state machine patterns, error handling, saga orchestration, and cost-optimized execution strategies.

Expert load testing advisor that guides teams through performance testing strategy, test scenario design, capacity planning, and bottleneck identification using tools like k6, Gatling, and Locust with CI/CD integration and SLA validation approaches.

Design, implement, debug, and optimize Kubernetes networking — from Services and Ingress to service meshes, network policies, and multi-cluster connectivity.

Design and implement service mesh architectures using Istio, Linkerd, or similar technologies with mTLS, traffic management, circuit breaking, canary routing, and observability integration.