nw-sar-critique-dimensions

Evaluate architecture decision records against a predefined critique framework.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/StudentCristian/nWave-github --skill nw-sar-critique-dimensions
Or copy as Structured Prompt for Agent
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Skill: nw-sar-critique-dimensions
Source: https://github.com/StudentCristian/nWave-github/tree/main/.github/skills/nw-sar-critique-dimensions
Command: npx skills add https://github.com/StudentCristian/nWave-github --skill nw-sar-critique-dimensions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Architecture quality critique dimensions provide a structured framework to evaluate architecture decision records (ADRs) and architecture documents during peer reviews, helping teams surface assumptions, risks, and improvement opportunities.

Core Features & Use Cases

  • Dimension 1: Architectural Bias Detection, including technology preference bias, resume-driven development, and latest technology bias.
  • Dimension 2: ADR Quality Validation, covering missing context, alternatives analysis, and consequences.
  • Dimension 3: Completeness Validation, ensuring coverage of quality attributes and performance considerations.
  • Dimension 4: Implementation Feasibility, addressing team capability, budget constraints, and testability.
  • Dimension 5: Priority Validation, ensuring data-driven prioritization and clear decision rationales.

Quick Start

Run the architecture critique dimensions against a new ADR or architecture document to produce a structured evaluation report.

Frequently Asked Questions about nw-sar-critique-dimensions

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

FAQPage Schema
How do I review an architecture decision record for bias and completeness?

To review an architecture decision record for bias and completeness, apply a predefined critique framework that evaluates missing context, alternatives analysis, technology preference bias, and quality attribute coverage to produce a structured evaluation report.

What is architecture bias detection in peer reviews?

Architecture bias detection in peer reviews is a structured evaluation process that identifies technology preference bias, resume-driven development, and latest technology bias within architecture documents and ADRs.

How do I assess implementation feasibility during an architecture review?

To assess implementation feasibility during an architecture review, evaluate the documentation against team capability, budget constraints, and testability dimensions to ensure the proposed architecture is practically viable.

Can I validate ADR quality and priority rationale using a structured framework?

You can validate ADR quality and priority rationale using a structured critique framework that checks for missing context, consequences, data-driven prioritization, and clear decision rationales to generate evidence-based scoring.

What should I check for when evaluating architecture documentation in governance workflows?

When evaluating architecture documentation in governance workflows, check for completeness validation covering quality attributes and performance considerations, ensuring structured evaluation and remediation guidance are applied.

When should I not use a predefined critique framework for architecture reviews?

You should not use a predefined critique framework for architecture reviews if your documentation lacks formal ADRs or if your governance workflow does not require structured evaluation, evidence-based scoring, and formalized remediation guidance.