check-cross-layer

Identify cross-layer considerations across API routes, services, and storage during codebase updates.

Updated Mar 6, 2026
One-click install
npx skills add https://github.com/Lin117-shygo/ros_car --skill check-cross-layer-lin117-shygo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/Lin117-shygo/ros_car/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/Lin117-shygo/ros_car --skill check-cross-layer-lin117-shygo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-layer changes often introduce bugs because crucial interactions between API routes, services, and storage layers are overlooked. This Skill provides a structured verification approach to identify and address multi-layer implications before deployment.

Core Features & Use Cases

  • Cross-layer impact checklist spanning API/routes, services, and storage to ensure end-to-end correctness.
  • Post-implementation safety net that highlights gaps and guides remediation steps.
  • Suitable for ongoing small changes and larger refactors that touch multiple layers in a codebase.

Quick Start

Run the cross-layer check after implementing changes to verify all dimensions are addressed.

Frequently Asked Questions about check-cross-layer

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

FAQPage Schema
How do I verify cross-layer changes across API routes, services, and storage?

Verify cross-layer changes by applying a multi-dimensional checklist that validates data flow, error propagation, and consistency across API routes, services, and storage. This structured approach ensures end-to-end correctness and safe integration before deployment.

What is a cross-layer code review checklist?

A cross-layer code review checklist is a structured verification method that identifies multi-layer implications when updating a codebase. It highlights interaction gaps spanning API routes, services, and storage layers to ensure end-to-end correctness and safe integration.

How do I check error propagation and data flow consistency after implementing codebase changes?

Check error propagation and data flow consistency by running a cross-layer impact checklist post-implementation. This validates that multi-layer interactions between your API routes, services, and storage maintain end-to-end correctness and safe integration.

Can I use a cross-layer checklist for smaller ongoing changes, or is it only for large refactors?

You can use a cross-layer checklist for both ongoing small changes and larger refactors that touch multiple layers in a codebase. It serves as a post-implementation safety net that highlights gaps and guides remediation steps for any scale.

Why do cross-layer codebase updates introduce bugs during release?

Cross-layer codebase updates introduce bugs because crucial interactions between API routes, services, and storage layers are often overlooked. A multi-dimensional checklist addresses these multi-layer implications by validating data flow and error propagation before deployment.