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caiaffa/claude-code-ultimate-engineering-system

38 skills

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$npx skills add caiaffa/claude-code-ultimate-engineering-system
SkillInstalls
adr-challengerStress-test architecture decisions by attacking assumptions, questioning alternatives, probing reversibility, and identifying likely production failure paths.—adr-reviewerReview architecture decision records for problem clarity, business relevance, option quality, trade-offs, reversibility, rollout credibility, and measurable…—api-designDesign REST, internal, and event-driven APIs with strong contracts, consistency, idempotency, error semantics, and operational safety.—architecture-decisionsEvaluate technical options with explicit trade-offs across reliability, delivery speed, operability, cost, security, and long-term maintainability.—aws-production-systemsDesign and review AWS systems for IAM safety, resilience, scalability, durability, operability, and cost awareness.—business-impact-challengerEvaluate whether a proposal is tied to a real business metric, a credible baseline, a meaningful expected gain, and an acceptable cost-to-value ratio.—code-reviewerReview code changes for correctness, maintainability, security, performance, observability, compatibility, and long-term architectural health.—data-sql-engineeringReview and generate SQL and data operations with strong attention to correctness, cardinality, performance, and operational safety.—decision-quality-auditorAudit whether a decision, proposal, PRD, or ADR was made with enough rigor in evidence, alternatives, trade-offs, reversibility, and measurement.—deep-root-cause-investigatorInvestigate beyond surface symptoms to identify systemic root causes, enabling conditions, failed safeguards, and permanent corrective actions.—design-doc-writerConvert technical ideas into structured, decision-ready design documents for alignment, execution, and review.—distributed-systems-skepticChallenge optimistic assumptions in distributed designs and surface hidden correctness, ordering, consistency, cache, and recovery risks.—engineering-economicsEvaluate technical decisions through explicit trade-offs in cost, delivery speed, reliability, maintainability, reversibility, and cognitive load.—failure-mode-and-effects-engineeringAnalyze systems through structured failure-mode thinking to improve detection, containment, graceful degradation, and recovery.—high-signal-communicationCommunicate technical decisions, risks, incidents, and recommendations with clarity, precision, and actionability for engineering stakeholders.—incident-learning-loopConvert incidents into durable standards, safeguards, templates, and design rules that reduce recurrence across the system.—incident-responseGuide production incident mitigation, investigation, containment, recovery, and structured post-incident follow-up.—infra-devopsReview and improve infrastructure, CI/CD, runtime configuration, deployment safety, autoscaling, and operational maintainability.—invariants-and-contracts-guardianDefine and protect system invariants, interface contracts, state transitions, idempotency guarantees, and compatibility rules.—kubernetes-operabilityReview Kubernetes workloads for deployment safety, probe correctness, scaling behavior, disruption tolerance, and diagnosability.—nestjs-architecture-guardianEnforce clean NestJS architecture, module boundaries, provider discipline, DTO separation, and maintainable application structure.—node-runtime-reliabilityAnalyze Node.js services for runtime safety, concurrency correctness, memory health, timeout behavior, shutdown integrity, and production resilience.—operational-excellence-enforcerEnsure systems are supportable in production with clear ownership, diagnostics, runbooks, recovery paths, and humane on-call behavior.—otel-observability-architectDesign high-value telemetry using OpenTelemetry for diagnostics, trace continuity, metrics quality, SLOs, and incident response.—performance-analysisAnalyze bottlenecks and recommend evidence-based improvements across application, database, queue, and infrastructure layers.—postgres-performance-and-safetyDesign and review Postgres usage for correctness, transaction safety, indexing, migration safety, lock behavior, and operational resilience.—postmortem-reviewerReview postmortems for root-cause depth, systemic learning, failed safeguards, action quality, and blameless rigor.—prd-challengerChallenge PRDs for business relevance, evidence quality, measurable impact, scope discipline, operational realism, and hypothesis strength.—prd-gap-detectorDetect missing sections, ambiguous assumptions, measurement gaps, and hidden engineering or operational requirements in PRDs.—prd-metrics-reviewerReview PRD metrics for baseline quality, success criteria, guardrails, time horizon, and post-launch measurement credibility.—premortem-facilitatorFacilitate pre-release failure analysis by assuming the initiative failed and working backward to identify weak assumptions, safeguards, and rollout gaps.—redis-bullmq-systemsReview Redis and BullMQ job systems for throughput, retries, idempotency, deduplication, queue isolation, failure recovery, and backlog health.—release-planningPlan safe releases, migrations, rollout strategies, rollback procedures, and operational checks for production changes.—repo-onboardingUnderstand the repository structure, architecture, conventions, dependencies, scripts, and local development workflow before proposing or making changes.—safe-refactoringRefactor code safely through behavior preservation, protective tests, incremental change sequencing, and risk-aware migration planning.—security-reviewReview code, APIs, infrastructure, IAM, secrets, and data handling for practical application and platform security risks.—systematic-debuggingInvestigate bugs using structured root-cause analysis, evidence-driven hypothesis testing, targeted reproduction, and disciplined validation.—test-strategyDefine pragmatic, high-confidence test coverage for features, bug fixes, refactors, APIs, workers, queues, and distributed workflows.—