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Claude Skills by nWave-ai

github.com/nWave-ai
149 skillsA× 146B× 31 installs12 views
Nw Pbt RustA

Rust property-based testing with proptest, quickcheck, and bolero frameworks

data-airustgo
0
510
Nw Pbt StatefulA

Stateful property-based testing patterns, model-based testing, and anti-patterns

data-aiexpresstesting
0
510
Nw Pbt TypescriptA

TypeScript/JavaScript property-based testing with fast-check framework and arbitraries

data-aijavascripttypescript
0
510
Nw Pdr Review CriteriaA

Evidence quality validation and decision gate criteria for product discovery reviews

data-airustgo
0
510
Nw Platform Engineering FoundationsA

Foundational platform engineering knowledge from key references -- Continuous Delivery, SRE, Accelerate, Team Topologies, Chaos Engineering, and Secure Delivery. Load when contextual grounding in platform engineering theory is needed.

data-airustgo
0
510
Nw Po Review DimensionsA

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

data-aigosql
0
510
Nw Por Review CriteriaA

Review dimensions and bug patterns for journey artifact reviews

data-airustgo
0
510
Nw Post Mortem FrameworkA

Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning

data-aitesting
0
510
Nw Production ReadinessA

Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.

data-aidatabaseci/cd
0
510
Nw Production SafetyB

Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy

data-aigosql
0
510
Nw Progressive RefactoringA

Progressive L1-L6 refactoring hierarchy, 22 code smell taxonomy, atomic transformations, test code smells, and Fowler refactoring catalog

data-aigorefactoring
0
510
Nw Property Based TestingA

Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation

data-aijavascripttypescript
0
510
Nw Quality FrameworkA

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

data-aitypescriptpython
0
510
Nw Quality ValidationA

Type-specific validation checklists, six quality characteristics, and quality gate thresholds for documentation assessment

data-aigotesting
0
510
Nw Query OptimizationA

SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns

data-aijavascriptgo
0
510
Nw RefactorA

Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring. Use when improving code quality through structured refactoring passes.

data-airefactoring
0
510
Nw Research MethodologyA

Research output templates, distillation workflow, and quality standards for evidence-driven research

data-airustgo
0
510
Nw ResearchA

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.

data-aipythonrust
0
510
Nw Review Output FormatA

YAML output format and approval criteria for platform design reviews. Load when generating review feedback.

data-aigosecurity
0
510
Nw Review WorkflowA

Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews

data-aipython
0
510
Nw ReviewA

Dispatches an expert reviewer agent to critique workflow artifacts. Use when a roadmap, implementation, or step needs quality review before proceeding.

data-aigosecurity
0
510
Nw RigorA

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.

data-aigotesting
0
510
Nw Roadmap Review ChecksA

Roadmap-specific validation checks for architecture reviews. Load when reviewing roadmaps for implementation readiness.

data-aigo
0
510
Nw RoadmapA

Creates a phased roadmap.json for a feature goal with acceptance criteria and TDD steps. Use when planning implementation steps before execution.

data-aigobash
0
510
Nw Root WhyA

Root cause analysis and debugging

data-aidebugginggit
0
510
Nw Rr Critique DimensionsA

Critique dimensions and scoring for research document reviews

data-aiperformance
0
510
Nw Sa Critique DimensionsA

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

data-aitestingsecurity
0
510
Nw Sar Critique DimensionsA

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

data-aitestingsecurity
0
510
Nw Sc Review DimensionsA

Reviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validation

data-aigoexpress
0
510
Nw Sd Case StudiesA

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

data-aigonode
0
510
Nw Sd FrameworkA

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

data-aigosql
0
510
Nw Sd Patterns AdvancedA

Advanced distributed patterns - event sourcing, CQRS, saga, stream processing, append-only log, exactly-once delivery, sequencer, double-entry ledger, erasure coding, order book, watermarks

data-aigonode
0
510
Nw Sd PatternsA

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

data-aigosql
0
510
Nw Security And GovernanceA

Database security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)

data-aipythonrust
0
510
Nw Security By DesignA

Security design principles, STRIDE threat modeling, OWASP Top 10 architectural mitigations, and secure patterns. Load when designing systems or reviewing architecture for security.

data-airustgo
0
510
Nw Shared Artifact TrackingA

Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.

data-airustgo
0
510
Nw Source VerificationA

Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements

data-airustgo
0
510
Nw SpikeA

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 requirement, or external integration.

data-aipythongo
0
510
Nw Stakeholder EngagementA

Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.

data-aigotesting
0
510
Nw Stress AnalysisA

Advanced 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-aigotesting
0
510
Nw Taste EvaluationA

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

data-airustgo
0
510
Nw Tdd MethodologyA

Deep knowledge for Outside-In TDD - double-loop architecture, ATDD integration, port-to-port testing, walking skeletons, and test doubles policy

data-aipythongo
0
510
Nw Tdd Review EnforcementA

Test design mandate enforcement, test budget validation, TDD phase validation (3-phase canon per ADR-025), and external validity checks for the software crafter reviewer

data-aigotesting
0
510
Nw Test Design MandatesA

Design 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-aitypescriptpython
0
510
Nw Test OptimizationA

Methodology for minimizing test count while maximizing behavioral coverage - behavior definition, anti-pattern catalog, consolidation patterns, stopping criterion, coverage-preserving validation

data-aipythongo
0
510
Nw Test Organization ConventionsA

Test directory structure patterns by architecture style, language conventions, naming rules, and fixture placement. Decision tree for selecting test organization strategy.

developmenttypescriptpython
0
510
Nw Test Refactoring CatalogA

Detailed refactoring mechanics with step-by-step procedures, and test code smell catalog with detection patterns and before/after examples

data-aipythontesting
0
510
Nw Tlaplus VerificationA

TLA+ formal verification for design correctness and PBT pipeline integration

data-aigojava
0
510
Nw Tr Review CriteriaA

Review dimensions and scoring for root cause analysis quality assessment

data-airustgo
0
510
Nw UpdateA

Queues 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-aipythongo
0
510