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Topic: ai

10,359 skills in this topic.

nw-jtbd-bdd-integration Translating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria
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-collapse-detection Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations
nWave-ai/nWave 341
nw-collaboration-and-handoffs Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
nWave-ai/nWave 341
nw-command-design-patterns Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
nWave-ai/nWave 341
nw-formal-verification-tlaplus TLA+ and PlusCal for specifying distributed system invariants. Decision heuristics for when formal verification adds value, key patterns, state explosion management, and alternatives comparison.
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
nw-fp-algebra-driven-design Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations
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-discovery-methodology Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.
nWave-ai/nWave 341
nw-diverger-review-criteria Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts
nWave-ai/nWave 341
nw-cicd-and-deployment CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
nWave-ai/nWave 341
nw-divio-framework DIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog
nWave-ai/nWave 341
nw-der-review-criteria Evaluation criteria and scoring for data engineering artifact reviews
nWave-ai/nWave 341
nw-ddd-eventsourcing Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution
nWave-ai/nWave 341
nw-buddy-ssot-knowledge Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
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-authoritative-sources Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules
nWave-ai/nWave 341
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-agent-creation-workflow Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
nWave-ai/nWave 341
nw-ad-critique-dimensions Review 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 proof
nWave-ai/nWave 341
nw-abr-critique-dimensions Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWave 341
nw-database-technology-selection Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics
nWave-ai/nWave 341
nw-ddd-event-modeling Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications
nWave-ai/nWave 341