1,669 skills found · Page 48 of 56
nWave-ai / nw-test-design-mandatesDesign mandates for acceptance tests - hexagonal boundary, business language abstraction, user journey completeness, pure function extraction, 3 Pillars (domain language / chained narrative / production composition), and the layered ATD discipline (Universe-bound assertion, layer-dependent PBT mode,…
nWave-ai / nw-bdd-methodologyBDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
nWave-ai / nw-cicd-and-deploymentCI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
nWave-ai / nw-command-design-patternsBest practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
nWave-ai / nw-ddd-event-modelingEvent Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications
nWave-ai / nw-divergeGenerates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence
nWave-ai / nw-roadmap-designRoadmap concision rules, step decomposition efficiency, AC abstraction guidelines, and step-to-scenario mapping. Load when creating implementation roadmaps.
nWave-ai / nw-spikeRuns a timeboxed PROBE to validate one core assumption, then optionally PROMOTES the probe into a walking skeleton — the first e2e thin slice of the feature, committed and demo-able. Use after DISCUSS when the feature involves a new mechanism, performance requirement, or external integration.
nWave-ai / nw-devopsDesigns CI/CD pipelines, infrastructure, observability, and deployment strategy
nWave-ai / nw-discussConducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery
nWave-ai / nw-infrastructure-and-observabilityInfrastructure 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 / nw-taste-evaluationDesign 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
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-architecture-patternsComprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
nWave-ai / nw-collaboration-and-handoffsCross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
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 — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts
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-hexagonal-architectureHexagonal architecture patterns with pure core and side-effect shell for functional codebases
nWave-ai / nw-fp-usable-designNaming conventions, API ergonomics, and usability patterns for functional code
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-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-tlaplus-verificationTLA+ formal verification for design correctness and PBT pipeline integration
