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check-cross-layer

Identify cross-layer gaps in UI, API, service, and storage changes.

Updated Aug 23, 2026
Search Tags:#architecture#debugging#code-quality#process#checks#cross-layer
One-click install
npx skills add https://github.com/MaShouo/CodexAuthExchange --skill check-cross-layer-mashouo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/MaShouo/CodexAuthExchange/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/MaShouo/CodexAuthExchange --skill check-cross-layer-mashouo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-layer checks ensure that changes across multiple layers are considered together, preventing bugs that arise from missing cross-layer reasoning.

Core Features & Use Cases

  • Verify cross-layer data flow across API, service, and storage layers
  • Identify missed changes in UI, backend, or data models after refactors
  • Apply after batch modifications to enforce consistency

Quick Start

Run the cross-layer check after making changes that span multiple layers to verify end-to-end impact.

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 data flow consistency after code refactoring?▼

Cross-layer checks verify data flow completeness by identifying missed changes across UI, API, service, and storage layers after batch modifications. This enforces consistency and catches bugs that arise from missing cross-layer reasoning after refactoring.

What is cross-layer coverage verification in software architecture?▼

Cross-layer coverage verification is a process that identifies cross-layer gaps whenever code changes span multiple layers. It enforces checks for data flow completeness, error propagation, and cross-layer configuration consistency across UI, API, service, and storage layers.

How do I check for missed changes in UI, backend, or data models after batch modifications?▼

You check for missed changes by running a cross-layer check after batch modifications. This applies to UI, API, service, and storage layers, enforcing consistency and identifying any missed modifications across the architecture.

Does cross-layer consistency checking work for projects of varying sizes?▼

Yes, cross-layer consistency checking works for projects of varying sizes. It applies to UI, API, service, and storage changes across different project scales, enforcing checks for data flow completeness and error propagation.

When do I need to run cross-layer checks for error propagation?▼

You need to run cross-layer checks for error propagation whenever code changes span multiple layers. This enforces cross-layer configuration consistency and verifies that errors propagate correctly across UI, API, service, and storage layers.

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