Extract structured data from LLM responses using Pydantic validation.
npx skills add https://github.com/Signmanal/VIGIL --skill instructor-signmanal
Please help me install this Agent Skill. Skill: instructor Source: https://github.com/Signmanal/VIGIL/tree/main/optional-skills/mlops/instructor Command: npx skills add https://github.com/Signmanal/VIGIL --skill instructor-signmanal
This Skill solves the problem of unreliable, unstructured LLM responses that require manual parsing, repeated prompting, and ad-hoc validation to convert into usable, type-safe data for downstream workflows.
Use the instructor skill to extract structured product review data (sentiment, key points, rating) from the provided customer feedback text into a validated Pydantic model.
High-intent search queries and answers about installing and using this skill.
Structured output extraction works by mapping unstructured LLM responses directly to Pydantic-defined schemas for type-safe formatting. It automatically validates the output against schema rules and retries failed extractions using targeted error feedback.
Yes, this approach supports multi-provider compatibility, working seamlessly with OpenAI, Anthropic Claude, and local models like Ollama. This allows flexible deployment of your structured data extraction workflows across different LLM stacks.
Validating JSON parsing from LLM responses is best handled using Pydantic validation to map outputs to defined schemas. This eliminates manual error checking and automatically retries failed extractions with targeted error feedback to the LLM.
Automatically retrying failed data extraction is achieved by validating outputs against Pydantic schema rules. When extraction fails, the system provides targeted error feedback to the LLM to correct and successfully parse the unstructured data.
Type-safe data extraction works effectively for entity recognition, classification, and structured analysis workflows. It reliably extracts validated data from unstructured LLM responses for security operations, research, and business process automation.
PlaidmustacheExtract and validate LLM outputs into Pydantic models with retries.
VictorHueniGenerate BPMN-ready business process documents from structured data.
juanreExtract structured data from LLM responses with JSON Schema validation.
ragnarokhaaExtract structured data from LLM responses with Pydantic validation.
