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.