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Topic: lean-ux

265 skills in this topic.

nw-security-and-governance Database security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)
nWave-ai/nWave 341
nw-sd-patterns-advanced Advanced distributed patterns - event sourcing, CQRS, saga, stream processing, append-only log, exactly-once delivery, sequencer, double-entry ledger, erasure coding, order book, watermarks
nWave-ai/nWave 341
nw-sd-case-studies 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
nWave-ai/nWave 341
nw-sa-critique-dimensions Architecture quality critique dimensions for peer review. Load when invoking solution-architect-reviewer or performing self-review of architecture documents.
nWave-ai/nWave 341
nw-rr-critique-dimensions Critique dimensions and scoring for research document reviews
nWave-ai/nWave 341
nw-review-output-format YAML output format and approval criteria for platform design reviews. Load when generating review feedback.
nWave-ai/nWave 341
nw-property-based-testing Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation
nWave-ai/nWave 341
nw-production-safety Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy
nWave-ai/nWave 341
nw-production-readiness Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.
nWave-ai/nWave 341
nw-post-mortem-framework Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning
nWave-ai/nWave 341
nw-pdr-review-criteria Evidence quality validation and decision gate criteria for product discovery reviews
nWave-ai/nWave 341
nw-pbt-stateful Stateful property-based testing patterns, model-based testing, and anti-patterns
nWave-ai/nWave 341
nw-pbt-python Python property-based testing with Hypothesis framework, strategies, and pytest integration
nWave-ai/nWave 341
nw-fp-haskell Haskell language-specific patterns, GADTs, type classes, and effect systems
nWave-ai/nWave 341
nw-hexagonal-testing 5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples
nWave-ai/nWave 341
nw-fp-usable-design Naming conventions, API ergonomics, and usability patterns for functional code
nWave-ai/nWave 341
nw-fp-principles Core functional programming thinking patterns and type system foundations, language-agnostic
nWave-ai/nWave 341
nw-fp-kotlin Kotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects
nWave-ai/nWave 341
nw-fp-hexagonal-architecture Hexagonal architecture patterns with pure core and side-effect shell for functional codebases
nWave-ai/nWave 341
nw-five-whys-methodology Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
nWave-ai/nWave 341
nw-dor-validation Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review
nWave-ai/nWave 341
nw-dr-review-criteria Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
nWave-ai/nWave 341
nw-infrastructure-and-observability Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.
nWave-ai/nWave 341
nw-fp-clojure Clojure language-specific patterns, data-first modeling, REPL-driven development, and spec
nWave-ai/nWave 341