14,559 skills found ¡ Page 360 of 486
nWave-ai / nw-security-and-governanceDatabase security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)
nWave-ai / nw-taste-evaluationDesign taste evaluation framework â DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wave
nWave-ai / nw-ux-tui-patternsTerminal UI and CLI design patterns for product owners. Load when designing command-line tools, interactive terminal applications, or writing CLI-specific acceptance criteria.
nWave-ai / nw-designDesigns system architecture with C4 diagrams and technology selection. Routes to the right architect based on design scope (system, domain, application, or full stack). Two interaction modes: guide (collaborative Q&A) or propose (architect presents options with trade-offs).
nWave-ai / nw-sc-review-dimensionsReviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validation
nWave-ai / nw-ad-critique-dimensionsReview dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof
nWave-ai / nw-architecture-patternsComprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
nWave-ai / nw-buddy-wave-knowledgeWave methodology knowledge for the buddy agent â what each wave does, its inputs and outputs, and how to route questions.
nWave-ai / nw-collaboration-and-handoffsCross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
nWave-ai / nw-ddd-eventsourcingEvent Sourcing and CQRS as DDD implementation patterns â when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution
nWave-ai / nw-deliverOrchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize)
nWave-ai / nw-discoverConducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.
nWave-ai / nw-diverger-review-criteriaReview criteria for the nw-diverger-reviewer â validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts
nWave-ai / nw-fp-clojureClojure language-specific patterns, data-first modeling, REPL-driven development, and spec
nWave-ai / nw-fp-domain-modelingDomain modeling with algebraic data types, smart constructors, and type-level error handling
nWave-ai / nw-fp-fsharpF# language-specific patterns, Railway-Oriented Programming, and Computation Expressions
nWave-ai / nw-fp-haskellHaskell language-specific patterns, GADTs, type classes, and effect systems
nWave-ai / nw-fp-hexagonal-architectureHexagonal architecture patterns with pure core and side-effect shell for functional codebases
nWave-ai / nw-fp-kotlinKotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects
nWave-ai / nw-fp-scalaScala 3 language-specific patterns with ZIO, Cats Effect, and opaque types
nWave-ai / nw-fp-usable-designNaming conventions, API ergonomics, and usability patterns for functional code
nWave-ai / nw-jtbd-interviewsJTBD discovery techniques adapted for AI product owner context. Four Forces extraction, job dimension probing, question banks, and anti-patterns for interactive feature discovery conversations.
nWave-ai / nw-leanux-methodologyLeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation
nWave-ai / nw-mutation-testRuns feature-scoped mutation testing to validate test suite quality. Use after implementation to verify tests catch real bugs (kill rate >= 80%).
nWave-ai / nw-optimize-testsMinimizes test count while preserving coverage. Detects byte-identical pairs, parametrize-inflation, language-guarantee tests, AST-shape tests, stale migration nets. Approval gate before any change.
nWave-ai / nw-po-review-dimensionsRequirements quality critique dimensions for peer review - confirmation bias detection, completeness validation, clarity checks, testability assessment, and priority validation
nWave-ai / nw-property-based-testingProperty-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation
nWave-ai / nw-quality-frameworkQuality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metrics
nWave-ai / nw-query-optimizationSQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns
nWave-ai / nw-researchGathers knowledge from web and files, cross-references across multiple sources, and produces cited research documents
