Topic: claude-code-commands
633 skills in this topic.
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nw-discovery-methodology
Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.
nWave-ai/nWave 341
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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
nWave-ai/nWave 341
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nw-cicd-and-deployment
CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
nWave-ai/nWave 341
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nw-operational-safety
Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations
nWave-ai/nWave 341
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nw-por-review-criteria
Review dimensions and bug patterns for journey artifact reviews
nWave-ai/nWave 341
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nw-domain-driven-design
Strategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDD
nWave-ai/nWave 341
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nw-fp-scala
Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types
nWave-ai/nWave 341
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nw-opportunity-mapping
Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide
nWave-ai/nWave 341
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nw-bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
nWave-ai/nWave 341
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nw-fp-algebra-driven-design
Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations
nWave-ai/nWave 341
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nw-ux-web-patterns
Web UI design patterns for product owners. Load when designing web application interfaces, writing web-specific acceptance criteria, or evaluating responsive designs.
nWave-ai/nWave 341
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nw-quality-validation
Type-specific validation checklists, six quality characteristics, and quality gate thresholds for documentation assessment
nWave-ai/nWave 341
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nw-dr-review-criteria
Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
nWave-ai/nWave 341
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nw-der-review-criteria
Evaluation criteria and scoring for data engineering artifact reviews
nWave-ai/nWave 341
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nw-par-critique-dimensions
Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.
nWave-ai/nWave 341
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nw-ab-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWave 341
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nw-five-whys-methodology
Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
nWave-ai/nWave 341
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nw-sc-review-dimensions
Reviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validation
nWave-ai/nWave 341
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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.
nWave-ai/nWave 341
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nw-fp-clojure
Clojure language-specific patterns, data-first modeling, REPL-driven development, and spec
nWave-ai/nWave 341
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nw-database-technology-selection
Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics
nWave-ai/nWave 341
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nw-buddy-wave-knowledge
Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
nWave-ai/nWave 341
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nw-fp-principles
Core functional programming thinking patterns and type system foundations, language-agnostic
nWave-ai/nWave 341
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nw-pbt-go
Go property-based testing with rapid and gopter frameworks
nWave-ai/nWave 341