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check-cross-layer

Trace UI, service, and data layer changes to identify cross-layer issues.

1|2|Updated Feb 8, 2026
Search Tags:#quality-check#code-review#guardrails#data-flow#layered-architecture#cross-layer
One-click install
npx skills add https://github.com/OriginHubAI/dcai-demo-platform --skill check-cross-layer-originhubai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/OriginHubAI/dcai-demo-platform/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/OriginHubAI/dcai-demo-platform --skill check-cross-layer-originhubai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-implementation safety net to catch overlooked cross-layer issues and ensure changes are considered across UI, service, and data layers.

Core Features & Use Cases

  • Provides a structured checklist to verify cross-layer data flow, error propagation, and reuse patterns
  • References related guides such as Pre-Implementation Checklist and Code Reuse Thinking Guide to improve design discipline
  • Applicable after code changes to surface gaps and prevent regressions in production

Quick Start

Review a recent change and run the check to surface any cross-layer gaps before release.

Frequently Asked Questions about check-cross-layer

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

FAQPage Schema
How do I check cross-layer data flow issues before code release?▼

To check cross-layer data flow before release, trace code changes through UI, service, and data layers using a structured checklist to verify error propagation and reuse patterns across API and storage layers.

What is a cross-layer quality gate in layered architecture?▼

A cross-layer quality gate is a post-implementation safety net that surfaces overlooked issues by tracing data flow and error propagation across UI, service, and data layers to prevent production regressions.

How do I verify error propagation across API, service, and storage layers?▼

Verify error propagation by applying a structured checklist that traces changes through API, service, and storage layers, ensuring guardrails and safety checks handle common edge cases before code release.

When do I need to run a cross-layer code review?▼

Run a cross-layer code review after implementing code changes to surface gaps in data flow and reuse patterns, ensuring changes are considered across UI, service, and data layers before deployment.

Does this cross-layer check work with existing pre-implementation checklists?▼

Yes, this cross-layer check works alongside pre-implementation checklists and code reuse thinking guides, applying guardrails after code changes to surface gaps and prevent regressions in production.

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