{"id":"ed297266-e9c3-46e5-b842-b45f20fd3a25","shortId":"PVpjxH","kind":"skill","title":"Instructor Structured Data Extraction from LLMs","tagline":"Instructor is a multi-language library for extracting structured, validated data from LLM outputs. It patches LLM client libraries to return Pydantic models (Python) or Zod schemas (TypeScript) instead of raw text, supporting 15+ providers including OpenAI, Anthropic, and Google.","description":"# Instructor Structured Data Extraction from LLMs\n\nInstructor is a multi-language library for extracting structured, validated data from LLM outputs. It patches LLM client libraries to return Pydantic models (Python) or Zod schemas (TypeScript) instead of raw text, supporting 15+ providers including OpenAI, Anthropic, and Google.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install instructor\n- uv add instructor\n\nRequirements and caveats from upstream:\n- python\n- [Python](https://python.useinstructor.com) - The original\n- [Documentation](https://python.useinstructor.com) - Comprehensive guides\n\nBasic usage or getting-started notes:\n- bash\n- Or with your package manager:\n- poetry add instructor\n\n- Source: https://github.com/567-labs/instructor\n- Extracted from upstream docs: https://raw.githubusercontent.com/567-labs/instructor/HEAD/README.md\n\n## Source\n\n- [Agent Skill 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