#atdd
25 resources
Results
- nw-ad-critique-dimensions
Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking…
- nw-architectural-styles-tradeoffs
Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns.
- nw-architecture-patterns
Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects.
- nw-at-completeness-check
Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist.
- nw-bdd-methodology
BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and…
- nw-brainstorming
Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees.
- nw-cicd-and-deployment
CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies.
- nw-deliver
Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize).
- nw-deliver-orchestration
DELIVER wave orchestration workflow -- 9 phases from baseline to finalization.
- nw-density-resolution-contract
Shared density-resolution contract for wave skills.
- nw-deployment-strategies
Rollback procedures, risk assessment, pre/post-deployment validation, and contingency planning.
- nw-design
Designs system architecture with C4 diagrams and technology selection.
- nw-design-methodology
Apple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns.
- nw-discuss
Conducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery.
- nw-distill
Acceptance test creation methodology for the DISTILL wave.
- nw-diverge
Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence.
- nw-diverger-review-criteria
Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and…
- nw-finalize
Archives a completed feature to docs/evolution/, migrates lasting artifacts to permanent directories, and cleans up the temporary workspace.
- nw-formal-verification-tlaplus
TLA+ and PlusCal for specifying distributed system invariants.
- nw-infrastructure-and-observability
Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security…
- nw-jtbd-analysis
JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI…
- 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…
- nw-jtbd-core
Core JTBD theory and job story format - job dimensions, job story template, job stories vs user stories, 8-step universal job map, outcome…
- nw-jtbd-interviews
JTBD discovery techniques adapted for AI product owner context.
- nw-jtbd-opportunity-scoring
JTBD opportunity scoring and prioritization - outcome statement format, opportunity algorithm, scoring interpretation, feature prioritization, and…
