skill-validation

Requirement validation detects ambiguity, incompleteness, and untestability in feature proposals to surface quality issues and feasibility risks before development begins. It analyzes proposals through multi-phase checks and scoring to provide a structured go/no-go decision.

Duplication checking compares new feature requirements against existing codebase snapshots and feature lists to assess overlap with current capabilities. This identifies redundant proposals during backlog grooming and cross-functional reviews to prevent duplicate development efforts.

Yes, multi-criteria scoring applies RICE methodology alongside ISO 29148 standards across seven dimensions including user value, clarity, novelty, feasibility, strategic fit, time criticality, and maintenance cost. Weighted scoring produces quantified prioritization results for product teams.

Requirement validation is designed for product teams handling large proposals, backlog grooming, and cross-functional reviews. It processes feature requirements through smell detection, overlap checks, and multi-criteria scoring to produce clear go/no-go decisions with actionable improvements.

Provide a feature requirement description to trigger automated phase-by-phase analysis including smell detection, deduplication, and weighted scoring. The validation synthesizes all phases into a comprehensive decision report with specific actionable improvement suggestions for next steps.

Requirement smell detection identifies ambiguity, incompleteness, and untestability but requires a codebase snapshot file for accurate duplication checks. Validation results depend on the quality of the input requirement description and the completeness of the existing feature list provided.