Topic: tdd
465 skills in this topic.
-
nw-architectural-styles-tradeoffs
Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
nWave-ai/nWave 341
-
nw-pbt-typescript
TypeScript/JavaScript property-based testing with fast-check framework and arbitraries
nWave-ai/nWave 341
-
nw-stress-analysis
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.
nWave-ai/nWave 341
-
nw-research-methodology
Research output templates, distillation workflow, and quality standards for evidence-driven research
nWave-ai/nWave 341
-
nw-taste-evaluation
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
nWave-ai/nWave 341
-
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
-
nw-query-optimization
SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns
nWave-ai/nWave 341
-
nw-design-patterns
7 agentic design patterns with decision tree for choosing the right pattern for each agent type
nWave-ai/nWave 341
-
nw-fp-algebra-driven-design
Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations
nWave-ai/nWave 341
-
nw-por-review-criteria
Review dimensions and bug patterns for journey artifact reviews
nWave-ai/nWave 341
-
nw-sar-critique-dimensions
Architecture quality critique dimensions for peer review. Load when performing architecture document reviews.
nWave-ai/nWave 341
-
nw-authoritative-sources
Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules
nWave-ai/nWave 341
-
nw-source-verification
Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements
nWave-ai/nWave 341
-
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
-
nw-platform-engineering-foundations
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.
nWave-ai/nWave 341
-
nw-pbt-rust
Rust property-based testing with proptest, quickcheck, and bolero frameworks
nWave-ai/nWave 341
-
nw-deployment-strategies
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.
nWave-ai/nWave 341
-
nw-review-workflow
Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews
nWave-ai/nWave 341
-
nw-pbt-go
Go property-based testing with rapid and gopter frameworks
nWave-ai/nWave 341
-
nw-tdd-review-enforcement
Test design mandate enforcement, test budget validation, 5-phase TDD validation, and external validity checks for the software crafter reviewer
nWave-ai/nWave 341
-
nw-bdd-requirements
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
nWave-ai/nWave 341
-
nw-progressive-refactoring
Progressive L1-L6 refactoring hierarchy, 22 code smell taxonomy, atomic transformations, test code smells, and Fowler refactoring catalog
nWave-ai/nWave 341
-
nw-stakeholder-engagement
Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.
nWave-ai/nWave 341
-
nw-fp-domain-modeling
Domain modeling with algebraic data types, smart constructors, and type-level error handling
nWave-ai/nWave 341