What are the benefits of using Pydantic with Claude?

Pydantic provides type hints, automatic validation, and clear documentation for your data structures, ensuring that the AI's response is exactly what your application expects.

Does this skill support streaming data?

Yes, Instructor includes features for streaming partial objects and iterables, allowing you to process and display data as it is being generated by the model.

How does the automatic retry feature work?

If Claude generates an output that fails your validation rules, Instructor sends the specific validation error back to the model, allowing it to self-correct and provide a valid response.

What is the Instructor skill for Claude Code?

Instructor is a specialized capability that enables Claude to return data in specific, validated formats like JSON by using Pydantic models to define the desired output structure.

Can I use Instructor with local LLMs?

Yes, Instructor supports local models via Ollama and other providers that support OpenAI-compatible API modes.

Instructor - Structured Data Extraction

Name: Instructor - Structured Data Extraction
Author: Orchestra-Research

byOrchestra-Research

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3,983

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데이터 과학 및 ML

Extracts and validates structured data from LLM responses using Pydantic for reliable, type-safe outputs and automatic retries.

Instructor is a production-grade skill designed to bridge the gap between unstructured LLM text and strictly formatted data structures. By leveraging Pydantic schemas, it ensures that AI outputs conform to your specific requirements, automatically handling validation errors through intelligent retries that feed error messages back to the model. Whether you are building complex data pipelines, automated extraction tools, or real-time streaming interfaces, Instructor provides the type safety and reliability needed to integrate Claude seamlessly into professional software architectures.

주요 기능

01Multi-provider support including Anthropic, OpenAI, and local Ollama models

02Automatic Pydantic validation for guaranteed type-safe LLM outputs

03Support for nested models, complex enums, and optional fields

04Intelligent retry logic that corrects malformed responses automatically

053,983 GitHub stars

06Real-time partial result streaming for responsive applications

사용 사례

01Classification systems requiring strict adherence to predefined categories

02Generating production-ready JSON data for API responses and database integration

03Automated entity and information extraction from unstructured documents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add orchestra-research/ai-research-skills instructor

For use in Claude.ai and ChatGPT

Download Skill