12,209 skills found · Page 336 of 407
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
nWave-ai / nw-reviewDispatches an expert reviewer agent to critique workflow artifacts
nWave-ai / nw-roadmapCreates a phased roadmap.json for a feature goal with acceptance criteria and TDD steps
nWave-ai / nw-security-by-designSecurity design principles, STRIDE threat modeling, OWASP Top 10 architectural mitigations, and secure patterns. Load when designing systems or reviewing architecture for security.
nWave-ai / nw-test-refactoring-catalogDetailed refactoring mechanics with step-by-step procedures, and test code smell catalog with detection patterns and before/after examples
nWave-ai / nw-updateQueues a deferred self-update of nwave-ai. Writes a PendingUpdateFlag that the SessionStart hook replays on the next Claude Code launch, so the current session is not interrupted. Falls back to manual instructions when the package manager cannot be detected.
nWave-ai / nw-ux-desktop-patternsDesktop application UI patterns for product owners. Load when designing native or cross-platform desktop applications, writing desktop-specific acceptance criteria, or evaluating panel layouts and keyboard workflows.
nWave-ai / nw-ux-emotional-designEmotional design and delight patterns for product owners. Load when designing onboarding flows, empty states, first-run experiences, or evaluating the emotional quality of an interface.
nWave-ai / nw-ux-web-patternsWeb UI design patterns for product owners. Load when designing web application interfaces, writing web-specific acceptance criteria, or evaluating responsive designs.
nWave-ai / nw-design-methodologyApple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns. Load when transitioning from discovery to visualization or when designing journey artifacts.
nWave-ai / nw-fp-algebra-driven-designAlgebra-driven API design with monoids, semigroups, and interpreters via algebraic equations
nWave-ai / nw-fp-principlesCore functional programming thinking patterns and type system foundations, language-agnostic
nWave-ai / nw-hexagonal-testing5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples
nWave-ai / nw-jtbd-analysisJTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring
nWave-ai / nw-operational-safetyTool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations
nWave-ai / nw-persona-jtbd-analysisStructured persona creation and JTBD analysis methodology - persona templates, ODI job step tables, pain point mapping, success metric quantification, and multi-persona segmentation
