spec-sync-validator

Name: spec-sync-validator
Availability: InStock
Author: scit-48-1

Identify mismatches across API spec, ERD, and DDL documents and generate a sync report.

Updated Jan 27, 2026

Search Tags:#consistency #api-validation #mapping #erd #data-model #ddl #spec-sync

Ready to run

npx skills add https://github.com/scit-48-1/aini-inu-backend --skill spec-sync-validator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spec-sync-validator
Source: https://github.com/scit-48-1/aini-inu-backend/tree/main/.gemini/skills/spec-sync-validator
Command: npx skills add https://github.com/scit-48-1/aini-inu-backend --skill spec-sync-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Validates and enforces consistency across API specifications, ERD diagrams, and DDL scripts to prevent drift between documentation and implementation.

Core Features & Use Cases

1:1 API → ERD mapping verification and cross-check
ERD → DDL consistency validation and automated hinting for needed changes
New entity detection with guidance to update ERD/DDL and relation mappings
Cross-document synchronization workflow with a reproducible report

Quick Start

Run a full synchronization check by comparing the API spec, ERD, and DDL documents and generate a comparison report.

Frequently Asked Questions about spec-sync-validator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I check for mismatches between API specs, ERD diagrams, and DDL scripts?▼

To check for mismatches between API specs, ERD diagrams, and DDL scripts, run a full synchronization check that compares the documents and generates a structured sync report highlighting field mapping inconsistencies.

Why does my API data model drift from the ERD and DDL after adding new entities?▼

API data model drift from ERD and DDL occurs because new entities require manual updates across all documents. A consistency validator detects new entities and provides guidance to update ERD, DDL, and relation mappings.

What is the best way to enforce consistency rules across API, ERD, and DDL?▼

The best way to enforce consistency rules across API, ERD, and DDL is to apply an automated cross-document synchronization workflow that verifies 1:1 API to ERD mapping and validates ERD to DDL consistency.

How do I generate a reproducible report for API and data model synchronization?▼

You can generate a reproducible sync report by comparing your API spec, ERD, and DDL documents through a full synchronization check, which outputs a structured report of all alignment issues and mapping discrepancies.

Can I validate ERD to DDL consistency and get automated hinting for needed changes?▼

Yes, you can validate ERD to DDL consistency and receive automated hinting for needed changes. The validation process checks field mappings and provides actionable guidance to align your DDL scripts with the ERD.