10,204 skills found ¡ Page 284 of 341
nWave-ai / nw-discussConducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery
nWave-ai / nw-divio-frameworkDIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog
nWave-ai / nw-formal-verification-tlaplusTLA+ and PlusCal for specifying distributed system invariants. Decision heuristics for when formal verification adds value, key patterns, state explosion management, and alternatives comparison.
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-jtbd-opportunity-scoringJTBD opportunity scoring and prioritization - outcome statement format, opportunity algorithm, scoring interpretation, feature prioritization, and opportunity matrix template
nWave-ai / nw-outcome-kpi-frameworkOutcome 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
nWave-ai / nw-sd-patterns-advancedAdvanced 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 / 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
