check-cross-layer

Review code changes for cross-layer data flow, imports, and consistency.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/tduck1equack/Web-Technology-Project --skill check-cross-layer-tduck1equack
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/tduck1equack/Web-Technology-Project/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/tduck1equack/Web-Technology-Project --skill check-cross-layer-tduck1equack

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps in ensuring that all layers of your codebase are reviewed and maintained consistently, reducing the likelihood of bugs due to oversight.

Core Features & Use Cases

  • Cross-Layer Data Flow Verification: Checks if changes in one layer of the application affect others.
  • Code Reuse Analysis: Evaluates and suggests opportunities for code reuse to maintain consistency.
  • Import and Dependency Path Validation: Ensures correct paths and no circular dependencies.
  • Same-Layer Consistency Check: Guarantees consistency in the same layer logic and concepts.
  • Quick Start: Provides a simple command to initiate the cross-layer check process.

Quick Start

Run the 'check-cross-layer' skill to perform a comprehensive review of the latest code changes.

Frequently Asked Questions about check-cross-layer

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

FAQPage Schema
What is cross-layer code review and when do I need it?

Cross-layer code review is a post-implementation check ensuring all application layers are considered. You need it to identify potential issues in cross-layer data flow, code reuse, import paths, and same-layer consistency during full-stack development.

How do I perform a cross-layer consistency check on my codebase?

To perform a cross-layer consistency check, run a post-implementation review process targeting the latest code changes. This analyzes cross-layer data flow, validates import paths for circular dependencies, and evaluates code reuse opportunities to maintain consistency.

Can I use this cross-layer check for full-stack development environments?

Yes, cross-layer check applies directly to software engineering processes in full-stack development environments. It requires knowledge of your codebase structure to detect typical issues across different application layers and ensure code consistency.

How do I validate import paths and check for circular dependencies?

You can validate import paths and check for circular dependencies by running a post-implementation code review. This cross-layer dependency path validation ensures correct paths are used and prevents circular dependencies across your application architecture.

What is the best way to verify cross-layer data flow after implementation?

The best way to verify cross-layer data flow is a comprehensive post-implementation code review. It checks if changes in one application layer affect others, identifies potential data flow issues, and suggests code reuse opportunities.

Why does same-layer consistency matter in code analysis?

Same-layer consistency matters because it guarantees logic and concepts remain uniform within the same application layer. A cross-layer code analysis identifies inconsistencies, reducing the likelihood of bugs caused by oversight during implementation.