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LinnkidChen
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check-cross-layer

Detect missed updates, type mismatches, and duplicated constants across architectural layers.

4|1|Updated Aug 9, 2025
Search Tags:#architecture#consistency#imports#quality-assurance#verify#cross-layer
One-click install
npx skills add https://github.com/LinnkidChen/Stock-Tracker --skill check-cross-layer-linnkidchen
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/LinnkidChen/Stock-Tracker/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/LinnkidChen/Stock-Tracker --skill check-cross-layer-linnkidchen

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-layer verification ensures changes across multiple architectural layers are consistent and safe, preventing subtle regressions.

Core Features & Use Cases

  • Cross-layer scope checks for changes spanning 3+ layers
  • Import path validation and code reuse analysis
  • Same-layer consistency and cross-domain dependency verification

Quick Start

Run the cross-layer check after implementing changes across three or more layers to verify data flow, imports, and consistency.

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 multiple architectural layers?▼

Cross-layer consistency verification detects missed updates, type mismatches, and duplicated constants after changes span UI, API, service, and data storage layers to prevent subtle regressions.

What is cross-layer scope checking and when do I need it?▼

Cross-layer scope checking validates data flow, import paths, and consistency across 3 or more architectural layers. You need it after implementing multi-layer modifications to identify cross-layer inconsistencies and reuse gaps.

How do I detect type mismatches and duplicated constants across UI and data storage layers?▼

Identify type mismatches and duplicated constants by applying a defined policy for multi-layer checks that reports findings across all affected layers, ensuring safe data flow from UI down to data storage.

Do I need a defined policy to run multi-layer checks for architectural consistency?▼

Yes, multi-layer checks require a defined policy, consistent import paths, and a reporting mechanism to effectively detect cross-layer inconsistencies and reuse gaps across all affected architectural layers.

What is the best way to validate import paths and analyze code reuse in a multi-layer architecture?▼

Validate import paths and analyze code reuse by running cross-layer checks after implementing changes across three or more layers, verifying same-layer consistency and cross-domain dependencies.

Limitations of cross-layer verification for span 3 or more architectural layers?▼

Cross-layer verification is limited to changes spanning 3 or more layers and relies on consistent import paths. It cannot detect inconsistencies in isolated single-layer modifications without a multi-layer check policy.

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