Shared rules for feature ID derivation and wave detection used by /nw-new, /nw-continue, and /nw-fast-forward wizards
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151 skills (repositories by nWave-ai) · sorted by popularity
Shared rules for feature ID derivation and wave detection used by /nw-new, /nw-continue, and /nw-fast-forward wizards
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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
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Database security (encryption, access control, injection prevention), data governance (lineage, quality, MDM), and compliance frameworks (GDPR, CCPA, HIPAA)
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Architecture quality critique dimensions for peer review. Load when performing architecture document reviews.
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Speculative parallel implementation methodology — dispatch N candidate implementations, audit all, score, pick best. Auditability mandate: ALL candidates logged (not just winner).
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Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.
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Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation
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Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring. Use when improving code quality through structured refactoring passes.
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Roadmap concision rules, step decomposition efficiency, AC abstraction guidelines, and step-to-scenario mapping. Load when creating implementation roadmaps.
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Architecture quality critique dimensions for peer review. Load when invoking solution-architect-reviewer or performing self-review of architecture documents.
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Teaches agents how to run a timeboxed spike - throwaway code that validates one assumption before DESIGN
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Shared artifact registry, common artifact patterns, and integration validation. Load when tracking data that flows across journey steps or validating horizontal coherence.
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Dispatches an expert reviewer agent to critique workflow artifacts. Use when a roadmap, implementation, or step needs quality review before proceeding.
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Runs a timeboxed PROBE to validate one core assumption, then optionally PROMOTES the probe into a walking skeleton — the first e2e thin slice of the feature, committed and demo-able. Use after DISCUSS when the feature involves a new mechanism, performance requirement, or external integration.
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Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews
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Progressive L1-L6 refactoring hierarchy, 22 code smell taxonomy, atomic transformations, test code smells, and Fowler refactoring catalog
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Root cause analysis and debugging
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SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns
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Research output templates, distillation workflow, and quality standards for evidence-driven research
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Selects a quality-vs-token-consumption profile (lean, standard, thorough, exhaustive, custom, inherit) and persists it globally (~/.nwave/global-config.json) or per-project (.nwave/des-config.json). Use when tuning how much rigor wave commands apply.
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Creates a phased roadmap.json for a feature goal with acceptance criteria and TDD steps. Use when planning implementation steps before execution.
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Critique dimensions and scoring for research document reviews
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Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements
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Reviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validation
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