nWave-ai

Evidence quality validation and decision gate criteria for product discovery reviews

LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation

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

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

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

Canary skill for auto-injection detection

Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.

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

7 agentic design patterns with decision tree for choosing the right pattern for each agent type

Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide

Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.

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