nw-diverger-review-criteria

Evaluate Diverger artifacts against a five-dimension rubric and produce a YAML report.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/StudentCristian/nWave-github --skill nw-diverger-review-criteria
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-diverger-review-criteria
Source: https://github.com/StudentCristian/nWave-github/tree/main/.github/skills/nw-diverger-review-criteria
Command: npx skills add https://github.com/StudentCristian/nWave-github --skill nw-diverger-review-criteria

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured adversarial review process for Diverger artifacts, ensuring rigorous critique and early issue detection before design decisions.

Core Features & Use Cases

  • Systematic evaluation across five dimensions: JTBD rigor, research quality, option diversity, taste application, and recommendation coherence.
  • Clear artifact expectations and outputs, including a YAML-formatted verdict with actionable issues.
  • Applicable to Diverger artifact files located under docs/feature/{id}/diverge/.

Quick Start

Run the nw-diverger-review-criteria assessment on the Diverger artifacts to produce a structured review report.

Frequently Asked Questions about nw-diverger-review-criteria

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I systematically evaluate product diverge artifacts for JTBD rigor and research quality?

To evaluate diverge artifacts for JTBD rigor and research quality, apply a five-dimension rubric to files under docs/feature/{id}/diverge/ to produce a structured YAML report covering option diversity, taste application, and recommendation coherence.

What is an adversarial review process for product management artifacts?

An adversarial review of product management artifacts is a structured critique process that systematically checks Diverger outputs against defined criteria, ensuring rigorous evaluation and early issue detection before design decisions are finalized.

How do I validate SKILL.md frontmatter and generate a YAML review report for feature artifacts?

To validate SKILL.md frontmatter and generate a YAML review report, run an automated assessment on feature artifacts that verifies description sections exist and returns a comprehensive verdict with actionable issues per check.

Can I use automated review criteria to check recommendation coherence in Diverger artifacts?

Yes, you can use automated review criteria to check recommendation coherence in Diverger artifacts. The assessment applies a structured rubric to evaluate JTBD rigor, research quality, option diversity, and taste application.

What are the limitations of automated artifact evaluation for diverge files?

Automated artifact evaluation for diverge files is limited to checking structural presence and rubric compliance within docs/feature/{id}/diverge/. It cannot assess subjective design quality beyond the defined taste application dimension criteria.

Does the Diverger artifact review require any external dependencies?

The Diverger artifact review requires no external dependencies. It operates autonomously to apply the five-dimension checklist to feature artifacts and output a structured YAML verdict with identified issues.