nWave-ai/nWave - Page 2

nw-quality-framework

Quality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metrics

nw-rigor

Selects a quality-vs-token-consumption profile (lean, standard, thorough, exhaustive, custom, inherit) and persists it globally (~/.nwave/global-config.json) or per-project (.nwave/des-config.json). Use when tuning how much rigor wave commands apply.

nw-divio-framework

DIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog

nw-po-review-dimensions

Requirements quality critique dimensions for peer review - confirmation bias detection, completeness validation, clarity checks, testability assessment, and priority validation

nw-spike

Runs 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…

nw-buddy-ssot-knowledge

Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.

nw-command-design-patterns

Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence

nw-bdd-requirements

BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification

nw-diagram

Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. Use when creating or updating architecture visualizations.

nw-diverge

Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence. Use when the team has a validated problem but hasn't chosen a solution approach.

nw-forge

Creates new specialized agents using the 5-phase workflow (ANALYZE > DESIGN > CREATE > VALIDATE > REFINE). Use when building a new AI agent or validating an existing agent specification.

nw-research

Gathers knowledge from web and files, cross-references across multiple sources, and produces cited research documents. Use when investigating technologies, patterns, or decisions that need evidence backing.

nw-fp-algebra-driven-design

Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations

nw-fp-clojure

Clojure language-specific patterns, data-first modeling, REPL-driven development, and spec

nw-fp-domain-modeling

Domain modeling with algebraic data types, smart constructors, and type-level error handling

nw-fp-fsharp

F# language-specific patterns, Railway-Oriented Programming, and Computation Expressions

nw-fp-haskell

Haskell language-specific patterns, GADTs, type classes, and effect systems

nw-fp-hexagonal-architecture

Hexagonal architecture patterns with pure core and side-effect shell for functional codebases

nw-fp-kotlin

Kotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects

nw-fp-principles

Core functional programming thinking patterns and type system foundations, language-agnostic

nw-fp-scala

Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types

nw-fp-usable-design

Naming conventions, API ergonomics, and usability patterns for functional code

nw-mikado

[EXPERIMENTAL] Complex refactoring roadmaps with visual tracking

nw-sa-critique-dimensions

Architecture quality critique dimensions for peer review. Load when invoking solution-architect-reviewer or performing self-review of architecture documents.

nw-sar-critique-dimensions

Architecture quality critique dimensions for peer review. Load when performing architecture document reviews.

nw-brainstorming

Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.

nw-buddy-command-catalog

All /nw-* commands — what they do, when to use them, which agent they invoke. For the buddy agent to help users pick the right command.

nw-ddd-event-modeling

Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications

nw-ddd-eventsourcing

Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution

nw-ddd-strategic

Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment

nw-ddd-tactical

Tactical DDD — aggregate design rules, entities, value objects, domain events, repositories, domain services, and anti-pattern detection

nw-design-methodology

Apple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns. Load when transitioning from discovery to visualization or when designing journey artifacts.

nw-diverger-review-criteria

Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts

nw-jtbd-analysis

JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring

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

nw-sd-framework

4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls

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

nw-sd-patterns

Core distributed systems patterns - load balancing, caching, sharding, consistent hashing, message queues, rate limiting, CDN, Bloom filters, ID generation, replication, conflict resolution, CAP theorem

nw-taste-evaluation

Design 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

nw-ad-critique-dimensions

Review 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…