When should I run this consistency check?

It is best used after modifying types.ts, updating Zod schemas, changing business rules, or adding new mock data to your project.

What is the primary benefit of the Verify Data Consistency skill?

It automates the detection of synchronization errors between TypeScript types and Zod schemas, while also ensuring that mock data follows complex business logic that standard linters cannot catch.

Can this skill help with UI development?

Yes, it specifically checks if item-level attributes are incorrectly placed in record-level UI components, helping maintain a clean and logical interface architecture.

Does it support automated fixes?

The skill provides a detailed report of failures; Claude can then use this report to accurately apply the necessary code corrections across your files.

Data Consistency Verifier

Name: Data Consistency Verifier
Author: invigoworks

byinvigoworks

0•

Security & Testing

Validates TypeScript types, Zod schemas, and mock data against business rules to ensure structural and logical integrity.

The verify-data-consistency skill is a specialized tool for developers working on complex inventory and record management systems. It automates the tedious process of synchronizing TypeScript union types with Zod validation schemas and verifies that mock data adheres to strict domain-specific business rules, such as tax calculation logic. By auditing the placement of properties between record-level and item-level UI components, it prevents common architectural errors in detail pages, ensuring that data models and UI implementations remain perfectly aligned during active development and refactoring.

Key Features

01Ensures referential integrity between record IDs and item datasets

02Synchronizes TypeScript union types with Zod enum validation schemas

03Audits UI component property placement between Record and Item levels

04Generates structured pass/fail reports with specific error locations

050 GitHub stars

06Validates mock data against complex domain business rules and tax logic

Use Cases

01Verifying UI layout logic to ensure item-specific data isn't misplaced in header sections

02Refactoring core domain types and ensuring validation schemas are updated

03Auditing large mock datasets for compliance with business rules before frontend testing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add invigoworks/invigo-marketplace verify-data-consistency

For use in Claude.ai and ChatGPT

Key Features

01Ensures referential integrity between record IDs and item datasets

02Synchronizes TypeScript union types with Zod enum validation schemas

03Audits UI component property placement between Record and Item levels

04Generates structured pass/fail reports with specific error locations

050 GitHub stars

06Validates mock data against complex domain business rules and tax logic

Use Cases

01Verifying UI layout logic to ensure item-specific data isn't misplaced in header sections

02Refactoring core domain types and ensuring validation schemas are updated

03Auditing large mock datasets for compliance with business rules before frontend testing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add invigoworks/invigo-marketplace verify-data-consistency

For use in Claude.ai and ChatGPT