structured-outputs
CommunityGuaranteed structured LLM responses.
Software Engineering#pydantic#data validation#api integration#json schema#structured output#llm response parsing
Authorcuba6112
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill ensures that Large Language Model (LLM) responses consistently adhere to a predefined JSON schema, eliminating the need for manual parsing and validation of LLM outputs.
Core Features & Use Cases
- API Integration: Generate data in a strict format for seamless integration with downstream applications and databases.
- UI Data Population: Provide structured data to populate specific frontend components or forms.
- Robust Data Extraction: Convert unstructured text into reliable JSON objects, handling complex and nested structures.
Quick Start
Use the structured-outputs skill to generate a JSON object conforming to the provided Pydantic model.
Dependency Matrix
Required Modules
pydanticopenaigoogle-generativeai
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: structured-outputs Download link: https://github.com/cuba6112/skillfactory/archive/main.zip#structured-outputs Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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