generate-api-data

Generate data models and API specifications from PRD and design documents.

Updated Apr 2, 2026

Search Tags:#automation #documentation #system design #api #generation #data model #pri management

Ready to run

npx skills add https://github.com/phyter1/seed --skill generate-api-data

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: generate-api-data
Source: https://github.com/phyter1/seed/tree/main/.claude/skills/generate-api-data
Command: npx skills add https://github.com/phyter1/seed --skill generate-api-data

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation of comprehensive data models and API design documents by automating the integration of specifications and requirements, reducing manual effort.

Core Features & Use Cases

Automatic Document Generation: Produces detailed DATA-MODEL.md and API-DESIGN.md files based on PRD and system design inputs.
Comprehensive Coverage: Incorporates upstream context, user flows, data entities, relationships, and validation rules to produce consistent documentation.
Use Case: A developer defines high-level system requirements and this Skill generates complete data schemas and API specifications ready for implementation or review.

Quick Start

Use the generate-api-data skill after preparing your PRD and design documents to automatically produce your API and data model documentation.

Frequently Asked Questions about generate-api-data

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

FAQPage Schema

How do I automate API documentation generation from system requirements?▼

Automating API documentation generation involves parsing system requirements and technical documents to automatically create detailed API specifications and data models. This ensures documentation aligns with project needs while reducing manual effort. The process extracts upstream context and user flows to produce consistent API-DESIGN.md files.

What is the best way to generate data models from a PRD?▼

Generating data models from a PRD requires integrating product requirements with system design inputs to define data entities, relationships, and validation rules. This approach produces detailed DATA-MODEL.md files that support complex relationships and migration strategies for scalable systems.

Can I automatically update API specifications during rapid development cycles?▼

Automatically updating API specifications during development cycles is supported by parsing revised system requirements and user flows. This facilitates rapid documentation updates, ensuring that generated API specifications and data schemas remain aligned with evolving project needs without requiring complete manual rewrites.

Does automated data model generation support complex relationships and validation rules?▼

Automated data model generation supports complex relationships and validation rules by parsing comprehensive technical documents and user flows. It incorporates upstream context to define data entities accurately, ensuring the generated data schemas meet structural requirements for scalable systems and migration strategies.

What do I need to prepare before automating API and data model documentation?▼

Before automating API and data model documentation, you need to prepare your PRD and system design documents. Providing comprehensive upstream context, user flows, and technical documents ensures the generated data schemas and API specifications accurately reflect your project needs and validation rules.