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instructor

8.7

by davila7

185Favorites
417Upvotes
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-outputs

8.7

Rating

0

Installs

AI & LLM

Category

Quick Review

Excellent skill for structured LLM outputs. The description clearly articulates when to use Instructor (extract/validate/retry structured data from LLMs). SKILL.md is comprehensive with installation, quick start, core concepts (response models, validation, retrying, streaming), common patterns, advanced features, error handling, and best practices. Code examples are practical and well-commented. The skill provides significant value: Instructor handles automatic validation/retry with Pydantic schemas, reducing the token cost and complexity a CLI agent would face trying to manually parse and validate LLM JSON outputs. Structure is clean with logical sections and references to additional files. Minor point: while very thorough, the SKILL.md is quite long - a brief overview/index at the top could help navigation, though the existing organization is still clear.

LLM Signals

Description coverage9
Task knowledge10
Structure9
Novelty8

GitHub Signals

18,073
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Last commit 0 days ago

Publisher

davila7

davila7

Skill Author

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davila7

Skill Author

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