check-cross-layer

Verify code modifications across database, service, API, and UI layers.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/wsmcfr/bisai_f407 --skill check-cross-layer-wsmcfr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/wsmcfr/bisai_f407/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/wsmcfr/bisai_f407 --skill check-cross-layer-wsmcfr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers verify that their code modifications consider all relevant architectural layers, preventing bugs caused by overlooked dependencies or inconsistencies.

Core Features & Use Cases

  • Impact Analysis: Checks if changes span multiple layers like database, services, API, or UI.
  • Data Flow Verification: Ensures data correctly flows across layers without mismatches.
  • Use Case: When updating a shared constants file across UI and backend, use this Skill to confirm all references are consistent and properly updated.

Quick Start

Use the check-cross-layer skill to verify that your recent modifications are consistent across database, service, API, and UI layers.

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 code changes across all architectural layers?

Verifying code changes across architectural layers requires checking data flow, import paths, and integration points. This ensures modifications maintain data consistency and correct dependencies throughout database, service, API, and UI layers.

What is cross-layer dependency checking in software refactoring?

Cross-layer dependency checking during refactoring verifies that code modifications consider all relevant software architecture layers. It prevents bugs by confirming data flows correctly across layers without mismatches or overlooked dependencies.

How do I ensure data consistency when updating shared constants across UI and backend?

Ensuring data consistency when updating shared constants across UI and backend involves verifying that all references are properly updated. You must assess data flow across layers to confirm modifications maintain integration robustness.

Can I use cross-layer verification for multi-layered feature updates?

Cross-layer verification is applicable for multi-layered feature updates. It assesses data flow and integration points within multi-layered projects, ensuring modifications correctly align across database, services, API, and UI layers.

What are the limitations of manual cross-layer architecture checking?

Manual cross-layer architecture checking risks overlooking dependencies and causing data mismatches across layers. Automated verification robustly assesses import paths and integration points, preventing bugs that manual reviews might miss during refactoring.