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check-cross-layer

Identify cross-layer gaps across API, service, data, and UI layers during code reviews.

Updated Feb 23, 2026
Search Tags:#architecture#quality-assurance#risk-management#code-review#system-design#cross-layer
One-click install
npx skills add https://github.com/TbK0ng/mytrellis --skill check-cross-layer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/TbK0ng/mytrellis/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/TbK0ng/mytrellis --skill check-cross-layer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Changes to a codebase often fail to account for cross-layer implications, leading to latent bugs and architectural drift. This Skill provides a structured way to verify that API/routes, service logic, data models, and UI touchpoints are considered during changes.

Core Features & Use Cases

  • Cross-layer impact checks that cover API, service, data storage, and UI layers.
  • Post-implementation verification to surface gaps before deployment.
  • Structured contract with inputs, outputs, pre_checks, and post_checks to guide code review and QA processes.

Quick Start

Run a post-implementation cross-layer verification to ensure all layers were considered before completing a change.

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 for cross-layer impact gaps during a code review?▼

Cross-layer impact checks verify that code changes account for API, service, data storage, and UI layers. You run a structured post-implementation verification to surface architectural drift and missing touchpoints before deployment.

What is cross-layer verification in system design?▼

Cross-layer verification is a validation process ensuring codebase changes correctly propagate across API, service, data, and UI layers. It prevents latent bugs by enforcing a structured contract of pre and post checks.

When do I need to run post-implementation checks across API and data layers?▼

You need post-implementation checks when a code change risks untracked architectural drift across API routes, service logic, data models, or UI touchpoints. Run verification before completing the change to catch missing cross-layer updates.

What's the best way to prevent architectural drift when modifying service logic?▼

The best way is applying a structured verification contract with defined inputs, outputs, pre_checks, and post_checks. This systematically validates that service logic modifications align with API, data, and UI layer expectations.

Does this cross-layer validation process work without external dependencies?▼

Yes, the cross-layer validation operates as a standalone process with no external dependencies. It uses a structured contract to guide QA and code review directly against your codebase changes.

Why does code deployment fail to account for UI and data model touchpoints?▼

Deployment failures happen because changes often lack structured post-implementation checks for cross-layer implications. Without verifying API, service, data, and UI layers together, latent bugs and architectural drift go unnoticed.

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