
nWave-ai
Showing 121–146 of 146 skills · Page 3 of 3
nWave-ai / nw-hotspot
617Git change frequency hotspot analysis — find the most-changed files in your codebase
nWave-ai / nw-interviewing-techniques
617Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design
nWave-ai / nw-investigation-techniques
617Evidence collection methods, problem categorization, analysis techniques, and solution design patterns
nWave-ai / nw-new
617Guided wizard to start a new feature. Asks what you want to build, recommends the right starting wave, and launches it.
nWave-ai / nw-opportunity-mapping
617Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide
nWave-ai / nw-pdr-review-criteria
617Evidence quality validation and decision gate criteria for product discovery reviews
nWave-ai / nw-por-review-criteria
617Review dimensions and bug patterns for journey artifact reviews
nWave-ai / nw-post-mortem-framework
617Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning
nWave-ai / nw-production-safety
617Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy
nWave-ai / nw-quality-framework
617Quality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metrics
nWave-ai / nw-refactor
617Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring
nWave-ai / nw-research
617Gathers knowledge from web and files, cross-references across multiple sources, and produces cited research documents
nWave-ai / nw-research-methodology
617Research output templates, distillation workflow, and quality standards for evidence-driven research
nWave-ai / nw-review
617Dispatches an expert reviewer agent to critique workflow artifacts
nWave-ai / nw-review-output-format
617YAML output format and approval criteria for platform design reviews. Load when generating review feedback.
nWave-ai / nw-review-workflow
617Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews
nWave-ai / nw-roadmap
617Creates a phased roadmap.json for a feature goal with acceptance criteria and TDD steps
nWave-ai / nw-roadmap-review-checks
617Roadmap-specific validation checks for architecture reviews. Load when reviewing roadmaps for implementation readiness.
nWave-ai / nw-rr-critique-dimensions
617Critique dimensions and scoring for research document reviews
nWave-ai / nw-sar-critique-dimensions
617Architecture quality critique dimensions for peer review. Load when performing architecture document reviews.
nWave-ai / nw-sd-framework
6174-step system design framework with back-of-envelope estimation, scaling ladder, and common pitfalls
nWave-ai / nw-source-verification
617Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements
nWave-ai / nw-spike-methodology
617Teaches agents how to run a timeboxed spike - throwaway code that validates one assumption before DESIGN
nWave-ai / nw-tlaplus-verification
617TLA+ formal verification for design correctness and PBT pipeline integration
nWave-ai / nw-tr-review-criteria
617Review dimensions and scoring for root cause analysis quality assessment
nWave-ai / nw-wizard-shared-rules
617Shared rules for feature ID derivation and wave detection used by /nw-new, /nw-continue, and /nw-fast-forward wizards