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instructor

7.6

by zechenzhangAGI

69Favorites
283Upvotes
0Downvotes

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

structured-output

7.6

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent skill documentation for Instructor library. The description clearly conveys the core capabilities (structured extraction, validation, retry, streaming). The SKILL.md is comprehensive with extensive task knowledge including installation, quick starts, core concepts (response models, validation, retrying, streaming), provider setup, common patterns, advanced features, error handling, and best practices. Structure is logical with clear sections and a helpful comparison table. References are appropriately externalized. The skill provides genuine value by systematically teaching structured LLM outputs with type safety and automatic retries—capabilities that would require significant token usage for a CLI agent to implement from scratch. Minor deduction on novelty as structured outputs are increasingly native in some LLMs, though Instructor's unified interface and validation/retry logic still offer meaningful complexity reduction.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

891
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2
Last commit 0 days ago

Publisher

zechenzhangAGI

zechenzhangAGI

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zechenzhangAGI

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