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check-cross-layer

Verify cross-layer data flow, reuse, imports, and consistency across API, service, and storage layers.

Updated Apr 13, 2026
Search Tags:#architecture#consistency#verification#code-review#cross-layer#import-path
One-click install
npx skills add https://github.com/MaplumeX/deepresearch --skill check-cross-layer-maplumex
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-cross-layer
Source: https://github.com/MaplumeX/deepresearch/tree/main/.agents/skills/check-cross-layer
Command: npx skills add https://github.com/MaplumeX/deepresearch --skill check-cross-layer-maplumex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Post-implementation verification across multiple code dimensions to ensure changes are consistently applied across layers, catching missed update sites, type mismatches, and duplicated constants.

Core Features & Use Cases

  • Cross-layer data flow verification for API, service, and database boundaries
  • Code reuse and constant usage analysis to avoid duplication
  • Import-path validation and same-layer consistency checks across the project
  • Real-world use: after large refactors or multi-layer changes to ensure no gaps remain

Quick Start

Run cross-layer checks after implementing changes that touch three or more architectural layers to identify gaps and inconsistencies.

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 a multi-layer code refactor?▼

Verify cross-layer consistency by checking data flow across API, service, and storage boundaries, validating code reuse to prevent duplicated constants, and ensuring import-path consistency to catch missed update sites after implementation.

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

Cross-layer data flow verification is the process of checking that changes implemented across API, service, and database boundaries remain consistent, preventing type mismatches and ensuring data integrity passes cleanly through all architectural layers.

Can I use cross-layer checks for batch edits and shared config updates?▼

Yes, cross-layer checks are applicable when updating shared constants, configs, or performing batch edits, verifying that same-layer alignment and import-path consistency are maintained across the entire project scope.

Why does import-path consistency break after updating shared constants?▼

Import-path consistency breaks when shared constants or configs are updated but missed at other update sites, causing duplicated constants and type mismatches that cross-layer verification catches by validating same-layer alignment and import paths.

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