check-cross-layer

Verify cross-layer data flow and import paths across API, service, and UI.

21|4|Updated Dec 24, 2025
One-click install
npx skills add https://github.com/Jerry-Z07/WindBoard --skill check-cross-layer-jerry-z07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/Jerry-Z07/WindBoard/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/Jerry-Z07/WindBoard --skill check-cross-layer-jerry-z07

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-implementation verification across multiple code dimensions ensures that changes are consistent across layers (API, service, and UI) and addresses cross-layer concerns such as data flow, code reuse analysis, and import-path validation.

Core Features & Use Cases

  • Cross-layer data-flow verification to ensure input/output consistency across API, service, and UI.
  • Code reuse analysis and import-path validation to catch missed updates, type mismatches, and duplicated constants.
  • Same-layer consistency checks to identify duplicated constants and misaligned interfaces.
  • Use Case: After modifying shared constants or configs, or performing batch file changes, run this skill to surface missed update sites and potential inconsistencies.

Quick Start

Run the cross-layer verification after your changes to surface issues across architectural 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 cross-layer consistency after modifying shared constants?

To verify cross-layer consistency after modifying shared constants, run a post-edit verification check to surface missed update sites, type mismatches, and duplicated constants across API, service, and UI layers.

What is cross-layer data-flow verification in software architecture?

Cross-layer data-flow verification is the process of validating input and output consistency across API, service, and UI layers to ensure architectural integrity and correct data handling after code changes.

How do I check import-path validity and code reuse after batch file changes?

To check import-path validity after batch file changes, run an automated verification skill that analyzes code reuse and validates import paths to catch misaligned interfaces and potential inconsistencies.

Does cross-layer verification detect type mismatches between API and UI layers?

Yes, cross-layer verification detects type mismatches between API and UI layers by analyzing data flow and same-layer consistency to enforce correct architecture and surface missed updates.

When do I need to run cross-layer integrity checks on my codebase?

You need to run cross-layer integrity checks after performing batch file changes or modifying shared constants and configs to ensure full consistency and identify any missed update sites across the architecture.

What is the best way to catch duplicated constants across architectural layers?

The best way to catch duplicated constants is to perform same-layer consistency checks that identify misaligned interfaces and duplicated values, enforcing correct architecture across API, service, and UI layers.