Individual skill

instructor

Extracts structured, validated data from LLM responses using the Instructor Python library with Pydantic response models, including nested models, enums, custom validators, automatic retries with validation error feedback, and streaming of partial objects or iterables. Works with Anthropic, OpenAI, and local Ollama models. Use when pulling typed fields or entities out of free text, when classifying text into fixed categories, when an LLM must return JSON that passes schema validation, when failed extractions need automatic retry, or when streaming partial structured results. Not for prompt optimization (use DSPy) or building multi-step chains (use LangChain).

plugins/KalarisLabs/research-agent-skills/skills/instructor/SKILL.md

Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61

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Observed behavior

Network or broad shell

Last checked

Nov 4, 2026

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