Claude Skills by nWave-ai

Core functional programming thinking patterns and type system foundations, language-agnostic

Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types

Naming conventions, API ergonomics, and usability patterns for functional code

5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples

Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.

Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design

Evidence collection methods, problem categorization, analysis techniques, and solution design patterns

JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring

Translating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria

LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation

DDD-guided legacy refactoring patterns -- strangler fig, bubble context, ACL migration, 14 tactical/strategic/infrastructure patterns, and incremental monolith-to-microservices methodology

Enhanced Mikado Method for complex architectural refactoring - systematic dependency discovery, tree-based planning, and bottom-up execution

Runs feature-scoped mutation testing to validate test suite quality. Use after implementation to verify tests catch real bugs (kill rate >= 80%).

Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations

Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide

Outcome KPI definition methodology - synthesizes Who Does What By How Much (Gothelf/Seiden), Running Lean (Maurya), and Measure What Matters (Doerr) into a practical framework for measurable outcome KPIs

Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.

Quality dimensions and review checklist for devop reviews

Evidence quality validation and decision gate criteria for product discovery reviews

Foundational platform engineering knowledge from key references -- Continuous Delivery, SRE, Accelerate, Team Topologies, Chaos Engineering, and Secure Delivery. Load when contextual grounding in platform engineering theory is needed.

Requirements quality critique dimensions for peer review - confirmation bias detection, completeness validation, clarity checks, testability assessment, and priority validation

Review dimensions and bug patterns for journey artifact reviews

Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning

Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.

Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy

Progressive L1-L6 refactoring hierarchy, 22 code smell taxonomy, atomic transformations, test code smells, and Fowler refactoring catalog

Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation

Quality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metrics

Type-specific validation checklists, six quality characteristics, and quality gate thresholds for documentation assessment

SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns

Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring. Use when improving code quality through structured refactoring passes.

Research output templates, distillation workflow, and quality standards for evidence-driven research

YAML output format and approval criteria for platform design reviews. Load when generating review feedback.

Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews

Roadmap-specific validation checks for architecture reviews. Load when reviewing roadmaps for implementation readiness.

Critique dimensions and scoring for research document reviews

Architecture quality critique dimensions for peer review. Load when invoking solution-architect-reviewer or performing self-review of architecture documents.

Architecture quality critique dimensions for peer review. Load when performing architecture document reviews.

Reviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validation

25 real-world system design case studies condensed from Alex Xu's System Design Interview Vol 1 and 2 - requirements, architecture, deep dive insights, key takeaways

4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls

Advanced distributed patterns - event sourcing, CQRS, saga, stream processing, append-only log, exactly-once delivery, sequencer, double-entry ledger, erasure coding, order book, watermarks

Core distributed systems patterns - load balancing, caching, sharding, consistent hashing, message queues, rate limiting, CDN, Bloom filters, ID generation, replication, conflict resolution, CAP theorem

Database security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)

Security design principles, STRIDE threat modeling, OWASP Top 10 architectural mitigations, and secure patterns. Load when designing systems or reviewing architecture for security.

Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.

Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements

Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.

Advanced architecture stress analysis methodology for designing systems that survive unknown stresses. Load when --residuality flag is used or when designing high-uncertainty, mission-critical systems.

Design taste evaluation framework — DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wave