upstage-schema-generation

Generate JSON schemas for structured document information extraction.

9|1|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/UpstageAI/upstage-extensions-hub --skill upstage-schema-generation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: upstage-schema-generation
Source: https://github.com/UpstageAI/upstage-extensions-hub/tree/main/skills/upstage-schema-generation
Command: npx skills add https://github.com/UpstageAI/upstage-extensions-hub --skill upstage-schema-generation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Generate structured JSON schemas to standardize extraction of information from documents, enabling consistent downstream data capture, validation, and automation.

Core Features & Use Cases

  • Generate JSON schemas for single or multi-document inputs to support consistent extraction rules.
  • Supports both API-based schema generation and VLM-based workflows with detailed design guidance.
  • Provides references and design guidelines to help craft robust, reusable schemas that generalize across document types.

Quick Start

Provide an input document path and run the generator to produce a ready-to-use JSON schema.

Frequently Asked Questions about upstage-schema-generation

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

FAQPage Schema
How do I generate a JSON schema for structured document information extraction?

To generate a JSON schema for document information extraction, provide an input document path and run the generator. It processes the document to produce a ready-to-use schema for consistent data capture and validation.

Can I use a VLM-based workflow to create robust schemas for documents?

Yes, you can use a VLM-based workflow to create robust schemas. The generation process supports both API-based schema creation and VLM-based workflows, providing detailed design guidance for reusable schemas.

What is the best way to standardize data capture from multiple documents?

The best way to standardize data capture is to generate JSON schemas for multi-document inputs. This creates consistent extraction rules, enabling standardized downstream data validation and automation across varying document types.

Do I need any dependencies to run the schema generation process?

No dependencies are required to run the schema generation process. You only need to provide an input document path and optional parameters to control the output and language for the generated JSON schemas.

Does JSON schema generation support multi-document inputs for complex data architecture?

Yes, JSON schema generation supports multi-document inputs for complex data architecture. It generates schemas that generalize across document types, providing references and design guidelines to ensure robust data extraction.