Browse Skills

Generates structured, blameless post-mortem documents from incident data following Google SRE methodology. Enforces psychological safety principles, validates action items for owner and deadline completeness, identifies systemic root causes rather than individual blame, and produces publication-ready post-mortems with timeline reconstruction, impact quantification, contributing factor analysis, and trackable corrective actions.

Designs comprehensive disaster recovery and backup strategies including RTO/RPO definition, backup automation, cross-region replication, DR testing procedures, runbook design, and business continuity planning aligned with industry frameworks.

Expert guidance for monorepo management at scale. Covers Nx and Turborepo selection, CODEOWNERS configuration, path-based CI triggers, dependency graph analysis, build caching strategies, task orchestration, selective testing with affected computation, release versioning with Changesets, and merge queue patterns. Provides team-size-aware recommendations grounded in DORA research, from solo developers through 200+ engineer organizations.

Design Internal Developer Platforms (IDPs) that accelerate delivery, reduce cognitive load, and improve developer experience.

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.

Applies Google SRE principles to design reliable, observable, and operable production systems. Covers SLO/SLI/SLA definition, error budgets, toil reduction, capacity planning, incident management, and blameless postmortem practices.

Design and deploy edge computing architectures for low-latency, distributed workloads across edge locations and IoT environments.

Implements cloud cost tagging, FinOps dashboards, and per-team/per-product cost allocation using AWS Cost Explorer, GCP BigQuery billing exports, and Kubernetes resource quotas for accountability.

Expert guidance on designing and implementing scalable, secure Azure cloud solutions and architectures.

Analyze and optimize AWS cloud spending through commitment-based discounts, right-sizing, spot strategies, and automated cost governance using FinOps best practices.

Implements zero-downtime blue-green deployment patterns with automated environment switching, health checks, rollback triggers, and traffic routing for web services and databases.

Structured triage protocol for production system failures based on Google SRE practices and observability-driven methodology. Guides engineers through symptom scoping, service localisation via distributed traces, hypothesis ranking, mitigation evaluation, and structured incident documentation. Reduces Mean Time to Resolution by enforcing systematic investigation over ad-hoc troubleshooting.

Analyzes Kubernetes cluster resource utilization and recommends cost optimization strategies including right-sizing, autoscaler tuning, spot instance adoption, and commitment discount planning to reduce cloud spend by 30-60%.

Design and implement circuit breaker patterns for distributed systems resilience, including bulkhead isolation, retry policies, timeout strategies, fallback hierarchies, and chaos engineering validation plans.

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

Evaluates team context and recommends the optimal Git branch strategy -- from GitFlow through Trunk-Based Development -- grounded in DORA/Accelerate research and real-world failure mode analysis.

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.

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.

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.

Expert cloud cost optimization advisor that helps organizations reduce and manage cloud spending using FinOps principles, right-sizing strategies, reserved instance planning, and cost allocation frameworks across AWS, Azure, and GCP environments.