Claude Skills by nWave-ai

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

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.

How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.

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

Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.

Canary skill for auto-injection detection

CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.

Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows

Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations

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

Step-by-step workflow for converting bloated command files to lean declarative definitions

Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns

Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics

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

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

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

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

DELIVER wave orchestration workflow -- 9 phases from baseline to finalization. Load when user invokes *deliver command. Covers state tracking, smart skip logic, retry, resume, and quality gate enforcement.

Shared density-resolution contract for wave skills. Canonical detail on the D12 cascade, density resolver call, ad-hoc override workflow, and DocumentationDensityEvent telemetry emission. Referenced from nw-discover / nw-discuss / nw-design / nw-devops / nw-distill / nw-deliver.

Rollback procedures, risk assessment, pre/post-deployment validation, and contingency planning. Load when orchestrating deployment or preparing rollback plans. For deployment strategy details (canary, blue-green, rolling), see `cicd-and-deployment` skill.

Evaluation criteria and scoring for data engineering artifact reviews

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.

7 agentic design patterns with decision tree for choosing the right pattern for each agent type

Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.

4-phase discovery workflow with decision gates, phase transitions, success metrics, and state tracking

Core JTBD theory and job story format - job dimensions, job story template, job stories vs user stories, 8-step universal job map, outcome statements, and forces of progress

JTBD discovery techniques adapted for AI product owner context. Four Forces extraction, job dimension probing, question banks, and anti-patterns for interactive feature discovery conversations.

JTBD opportunity scoring and prioritization - outcome statement format, opportunity algorithm, scoring interpretation, feature prioritization, and opportunity matrix template

JTBD workflow classification and routing - ODI two-phase framework, five job types with workflow sequences, baseline type selection, workflow anti-patterns, and common recipes

Structured persona creation and JTBD analysis methodology - persona templates, ODI job step tables, pain point mapping, success metric quantification, and multi-persona segmentation

Roadmap concision rules, step decomposition efficiency, AC abstraction guidelines, and step-to-scenario mapping. Load when creating implementation roadmaps.

Speculative parallel implementation methodology — dispatch N candidate implementations, audit all, score, pick best. Auditability mandate: ALL candidates logged (not just winner).

Teaches agents how to run a timeboxed spike - throwaway code that validates one assumption before DESIGN

Port the state-delta + property-based testing paradigm to languages other than Python. DIY recipes per language; canonical Python ref shipped in nwave_ai.state_delta.

Shared rules for feature ID derivation and wave detection used by /nw-new, /nw-continue, and /nw-fast-forward wizards

Acceptance test creation methodology for the DISTILL wave. Domain knowledge for the acceptance designer agent: port-to-port principle, prior wave reading, wave-decision reconciliation, graceful degradation, and document back-propagation.

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

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

Strategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDD

Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review

Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews

Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques

TLA+ and PlusCal for specifying distributed system invariants. Decision heuristics for when formal verification adds value, key patterns, state explosion management, and alternatives comparison.

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

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

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

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

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

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

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