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Claude Skills by nWave-ai

github.com/nWave-ai

264 skillsA× 258B× 61 installs287 views

Nw Progressive RefactoringAProgressive L1-L6 refactoring hierarchy, 22 code smell taxonomy, atomic transformations, test code smells, and Fowler refactoring catalogdata-aigorefactoringVotes: 0GitHub stars: 615
Nw Property Based TestingAProperty-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validationdata-aijavascripttypescriptVotes: 0GitHub stars: 615
Nw Quality FrameworkAQuality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metricsdata-aitypescriptpythonVotes: 0GitHub stars: 615
Nw Quality ValidationAType-specific validation checklists, six quality characteristics, and quality gate thresholds for documentation assessmentdata-aigotestingVotes: 0GitHub stars: 615
Nw Query OptimizationASQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patternsdata-aijavascriptgoVotes: 0GitHub stars: 615
Nw RefactorAApplies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring. Use when improving code quality through structured refactoring passes.data-airefactoringVotes: 0GitHub stars: 615
Nw Research MethodologyAResearch output templates, distillation workflow, and quality standards for evidence-driven researchdata-airustgoVotes: 0GitHub stars: 615
Nw ResearchAGathers 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.data-aipythonrustVotes: 0GitHub stars: 615
Nw Review Output FormatAYAML output format and approval criteria for platform design reviews. Load when generating review feedback.data-aigosecurityVotes: 0GitHub stars: 615
Nw Review WorkflowADetailed review process, v2 validation checklist, and scoring methodology for agent definition reviewsdata-aipythonVotes: 0GitHub stars: 615
Nw ReviewADispatches an expert reviewer agent to critique workflow artifacts. Use when a roadmap, implementation, or step needs quality review before proceeding.data-aigosecurityVotes: 0GitHub stars: 615
Nw RigorASelects 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.data-aigotestingVotes: 0GitHub stars: 615
Nw Roadmap Review ChecksARoadmap-specific validation checks for architecture reviews. Load when reviewing roadmaps for implementation readiness.data-aigoVotes: 0GitHub stars: 615
Nw RoadmapACreates a phased roadmap.json for a feature goal with acceptance criteria and TDD steps. Use when planning implementation steps before execution.data-aigobashVotes: 0GitHub stars: 615
Nw Root WhyARoot cause analysis and debuggingdata-aidebugginggitVotes: 0GitHub stars: 615
Nw Rr Critique DimensionsACritique dimensions and scoring for research document reviewsdata-aiperformanceVotes: 0GitHub stars: 615
Nw Sa Critique DimensionsAArchitecture quality critique dimensions for peer review. Load when invoking solution-architect-reviewer or performing self-review of architecture documents.data-aitestingsecurityVotes: 0GitHub stars: 615
Nw Sar Critique DimensionsAArchitecture quality critique dimensions for peer review. Load when performing architecture document reviews.data-aitestingsecurityVotes: 0GitHub stars: 615
Nw Sc Review DimensionsAReviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validationdata-aigoexpressVotes: 0GitHub stars: 615
Nw Sd Case StudiesA25 real-world system design case studies condensed from Alex Xu's System Design Interview Vol 1 and 2 - requirements, architecture, deep dive insights, key takeawaysdata-aigonodeVotes: 0GitHub stars: 615
Nw Sd FrameworkA4-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfallsdata-aigosqlVotes: 0GitHub stars: 615
Nw Sd Patterns AdvancedAAdvanced distributed patterns - event sourcing, CQRS, saga, stream processing, append-only log, exactly-once delivery, sequencer, double-entry ledger, erasure coding, order book, watermarksdata-aigonodeVotes: 0GitHub stars: 615
Nw Sd PatternsACore distributed systems patterns - load balancing, caching, sharding, consistent hashing, message queues, rate limiting, CDN, Bloom filters, ID generation, replication, conflict resolution, CAP theoremdata-aigosqlVotes: 0GitHub stars: 615
Nw Security And GovernanceADatabase security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)data-aipythonrustVotes: 0GitHub stars: 615
Nw Security By DesignASecurity design principles, STRIDE threat modeling, OWASP Top 10 architectural mitigations, and secure patterns. Load when designing systems or reviewing architecture for security.data-airustgoVotes: 0GitHub stars: 615
Nw Shared Artifact TrackingAShared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.data-airustgoVotes: 0GitHub stars: 615
Nw Source VerificationASource reputation tiers, cross-referencing methodology, bias detection, and citation format requirementsdata-airustgoVotes: 0GitHub stars: 615
Nw SpikeARuns 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 requirement, or external integration.data-aipythongoVotes: 0GitHub stars: 615
Nw Stakeholder EngagementADemonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.data-aigotestingVotes: 0GitHub stars: 615
Nw Stress AnalysisAAdvanced architecture stress analysis methodology for designing systems that survive unknown stresses. Load when --residuality flag is used or when designing high-uncertainty, mission-critical systems.data-aigotestingVotes: 0GitHub stars: 615
Nw Taste EvaluationADesign taste evaluation framework — DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wavedata-airustgoVotes: 0GitHub stars: 615
Nw Tdd MethodologyADeep knowledge for Outside-In TDD - double-loop architecture, ATDD integration, port-to-port testing, walking skeletons, and test doubles policydata-aipythongoVotes: 0GitHub stars: 615
Nw Tdd Review EnforcementATest design mandate enforcement, test budget validation, TDD phase validation (3-phase canon per ADR-025), and external validity checks for the software crafter reviewerdata-aigotestingVotes: 0GitHub stars: 615
Nw Test Design MandatesADesign mandates for acceptance tests - hexagonal boundary, business language abstraction, user journey completeness, pure function extraction, 3 Pillars (domain language / chained narrative / production composition), and the layered ATD discipline (Universe-bound assertion, layer-dependent PBT mode, two-tier acceptance, example-based sad paths)data-aitypescriptpythonVotes: 0GitHub stars: 615
Nw Test OptimizationAMethodology for minimizing test count while maximizing behavioral coverage - behavior definition, anti-pattern catalog, consolidation patterns, stopping criterion, coverage-preserving validationdata-aipythongoVotes: 0GitHub stars: 615
Nw Test Organization ConventionsATest directory structure patterns by architecture style, language conventions, naming rules, and fixture placement. Decision tree for selecting test organization strategy.developmenttypescriptpythonVotes: 0GitHub stars: 615
Nw Test Refactoring CatalogADetailed refactoring mechanics with step-by-step procedures, and test code smell catalog with detection patterns and before/after examplesdata-aipythontestingVotes: 0GitHub stars: 615
Nw Tlaplus VerificationATLA+ formal verification for design correctness and PBT pipeline integrationdata-aigojavaVotes: 0GitHub stars: 615
Nw Tr Review CriteriaAReview dimensions and scoring for root cause analysis quality assessmentdata-airustgoVotes: 0GitHub stars: 615
Nw UpdateAQueues a deferred self-update of nwave-ai. Writes a PendingUpdateFlag that the SessionStart hook replays on the next Claude Code launch, so the current session is not interrupted. Falls back to manual instructions when the package manager cannot be detected.data-aipythongoVotes: 0GitHub stars: 615
Nw User Story MappingAUser story mapping for backlog management and outcome-based prioritization. Load during Phase 2.5 (User Story Mapping) to produce story-map.md and prioritization.md.data-aigoVotes: 0GitHub stars: 615
Nw Ux Desktop PatternsADesktop application UI patterns for product owners. Load when designing native or cross-platform desktop applications, writing desktop-specific acceptance criteria, or evaluating panel layouts and keyboard workflows.data-aigoapiVotes: 0GitHub stars: 615
Nw Ux Emotional DesignAEmotional design and delight patterns for product owners. Load when designing onboarding flows, empty states, first-run experiences, or evaluating the emotional quality of an interface.data-airustgoVotes: 0GitHub stars: 615
Nw Ux PrinciplesACore UX principles for product owners. Load when evaluating interface designs, writing acceptance criteria with UX requirements, or reviewing wireframes and mockups.data-aigoawsVotes: 0GitHub stars: 615
Nw Ux Tui PatternsBTerminal UI and CLI design patterns for product owners. Load when designing command-line tools, interactive terminal applications, or writing CLI-specific acceptance criteria.data-aijavascriptpythonVotes: 0GitHub stars: 615
Nw Ux Web PatternsAWeb UI design patterns for product owners. Load when designing web application interfaces, writing web-specific acceptance criteria, or evaluating responsive designs.data-aigogitVotes: 0GitHub stars: 615
Nw Ab Critique DimensionsAReview dimensions for validating agent quality - template compliance, safety, testing, and priority validationdata-aigotestingVotes: 0GitHub stars: 615
Nw Abr Critique DimensionsAReview dimensions for validating agent quality - template compliance, safety, testing, and priority validationdata-aigotestingVotes: 0GitHub stars: 615
Nw Ad Critique DimensionsAReview 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 proofdata-aigotestingVotes: 0GitHub stars: 615
Nw Agent Creation WorkflowADetailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinementdata-aigotestingVotes: 0GitHub stars: 615

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