nwave-ai/nwave
58 skills
$npx skills add nwave-ai/nwaveSkillInstalls
nw-ab-critique-dimensionsReview dimensions for validating agent quality - template compliance, safety, testing, and priority validationnw-abr-critique-dimensionsReview dimensions for validating agent quality - template compliance, safety, testing, and priority validationnw-ad-critique-dimensionsReview dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton…nw-agent-creation-workflowDetailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinementnw-agent-testing5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistancenw-architectural-styles-tradeoffsArchitectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns.nw-architecture-patternsComprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects.nw-at-completeness-checkCanonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral.nw-authoritative-sourcesDomain-specific authoritative source databases, search strategies by topic category, and source freshness rulesnw-bdd-methodologyBDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentationnw-bdd-requirementsBDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specificationnw-brainstormingStructured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees.nw-buddynWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.nw-buddy-command-catalogAll /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-buddy-project-readingHow the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.nw-buddy-ssot-knowledgeSingle Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.nw-buddy-wave-knowledgeWave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.nw-bugfixBug fix workflow: root cause analysis → user review → regression test + fix via TDDnw-canaryCanary skill for auto-injection detectionnw-cicd-and-deploymentCI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies.nw-collaboration-and-handoffsCross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflowsnw-collapse-detectionDocumentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violationsnw-command-design-patternsBest practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidencenw-command-optimization-workflowStep-by-step workflow for converting bloated command files to lean declarative definitionsnw-continueDetects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.nw-data-architecture-patternsData architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patternsnw-database-technology-selectionDatabase comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristicsnw-ddd-event-modelingEvent Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specificationsnw-ddd-eventsourcingEvent Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolutionnw-ddd-strategicStrategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignmentnw-ddd-tacticalTactical DDD — aggregate design rules, entities, value objects, domain events, repositories, domain services, and anti-pattern detectionnw-deliverOrchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize).nw-deliver-orchestrationDELIVER wave orchestration workflow -- 9 phases from baseline to finalization. Load when user invokes *deliver command.nw-density-resolution-contractShared density-resolution contract for wave skills. Canonical detail on the D12 cascade, density resolver call, ad-hoc override workflow, and…nw-deployment-strategiesRollback procedures, risk assessment, pre/post-deployment validation, and contingency planning. Load when orchestrating deployment or preparing rollback plans.nw-der-review-criteriaEvaluation criteria and scoring for data engineering artifact reviewsnw-designDesigns system architecture with C4 diagrams and technology selection.nw-design-methodologyApple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns.nw-design-patterns7 agentic design patterns with decision tree for choosing the right pattern for each agent typenw-devopsDesigns CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature.nw-diagramGenerates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. Use when creating or updating architecture visualizations.nw-discoverConducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.nw-discovery-methodologyQuestion-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.nw-discovery-workflow4-phase discovery workflow with decision gates, phase transitions, success metrics, and state trackingnw-discussConducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery.nw-distillAcceptance test creation methodology for the DISTILL wave. Domain knowledge for the acceptance designer agent: port-to-port principle, prior wave reading,…nw-divergeGenerates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence.nw-diverger-review-criteriaReview criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation…nw-divio-frameworkDIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalognw-documentCreates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.nw-domain-driven-designStrategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDDnw-dor-validationDefinition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner reviewnw-dr-review-criteriaCritique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviewsnw-executeDispatches one unit of DELIVER work to a specialized agent for TDD execution. Runs a single roadmap.json step through the TDD cycle.nw-fast-forwardFast-forwards through remaining waves end-to-end without stopping for review between waves.nw-finalizeArchives a completed feature to docs/evolution/, migrates lasting artifacts to permanent directories, and cleans up the temporary workspace.nw-five-whys-methodologyToyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniquesnw-forgeCreates new specialized agents using the 5-phase workflow (ANALYZE > DESIGN > CREATE > VALIDATE > REFINE).