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plan-eng-review

Review engineering plans for architecture, code quality, testing, and performance.

Updated Jun 9, 2026
Search Tags:#code review#test coverage#performance analysis#architecture review#plan review
One-click install
npx skills add https://github.com/ericdahl-dev/coauthor-cleaner --skill plan-eng-review-ericdahl-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plan-eng-review
Source: https://github.com/ericdahl-dev/coauthor-cleaner/tree/main/.claude/skills/gstack/plan-eng-review
Command: npx skills add https://github.com/ericdahl-dev/coauthor-cleaner --skill plan-eng-review-ericdahl-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires code analysis tools, testing frameworks, AI review models, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps engineers and managers conduct in-depth reviews of technical plans, architecture, and implementation strategies, identifying potential issues and ensuring comprehensive coverage.

Core Features & Use Cases

  • Architectural Review: Evaluate system design, dependency graphs, and data flow patterns.
  • Code Quality: Assess code organization, DRY violations, error handling, and technical debt.
  • Test Review: Ensure comprehensive test coverage and identify missing test cases.
  • Performance Review: Analyze N+1 queries, memory usage, caching opportunities, and code complexity.
  • Outside Voice: Get a second opinion on the plan from a different AI system.
  • Use Case: Use this Skill when reviewing a complex engineering plan to catch architecture issues, improve code quality, ensure thorough testing, and optimize performance.

Quick Start

Run the /plan-eng-review skill with the file or branch you want to review.

Frequently Asked Questions about plan-eng-review

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

FAQPage Schema
How do I conduct a comprehensive engineering plan review using AI?▼

An engineering plan review evaluates system design, code quality, testing, and performance using AI assistance. It assesses architecture, identifies DRY violations, and checks test coverage to ensure comprehensive technical plan validation.

What is the best way to review architecture and code quality in a technical plan?▼

Reviewing architecture and code quality involves evaluating dependency graphs and data flow patterns to identify DRY violations and technical debt. This ensures system design robustness and improves overall code organization.

How do I ensure comprehensive test coverage and identify missing test cases?▼

To ensure comprehensive test coverage, use testing frameworks and AI review models to analyze the technical plan. This identifies missing test cases and validates that testing strategies cover critical implementation paths.

Can I analyze N+1 queries and performance issues during a plan review?▼

Yes, performance review analyzes N+1 queries, memory usage, and caching opportunities to optimize code complexity. This evaluates resource utilization within the engineering plan to improve application performance.

Do I need code analysis tools and testing frameworks to perform an architecture review?▼

Yes, an architecture review requires code analysis tools and testing frameworks to evaluate system design. These dependencies provide data extraction and validation capabilities necessary for AI-based technical plan assessments.

How do I get a second opinion on my engineering plan from an outside voice?▼

To get a second opinion, use the outside voice feature to query a different AI system for an independent review. This validates architecture and implementation strategies by introducing a different analytical perspective.

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