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instructor Skill

AI Agent SkillPythonOpen source

Structured LLM outputs validated with Pydantic. Published by NousResearch in hermes-agent.

Decision snapshot

Is this a fit?

Best for

Data analysis, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

21 days ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is instructor Skill?

Structured LLM outputs validated with Pydantic. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Declared skill metadata

  • Declared author: Orchestra Research
  • Declared license: MIT
  • Source file: optional-skills/mlops/instructor/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use instructor Skill

  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/mlops/instructor/SKILL.md

What it does

Structured LLM outputs validated with Pydantic.

Skill instructions

Instructor: Structured LLM Outputs When to Use This Skill Use Instructor when you need to: - Extract structured data from LLM responses reliably - Validate outputs against Pydantic schemas automatically - Retry failed extractions with automatic error handling - Parse complex JSON with type safety and validation - Stream partial results for real-time processing - Support multiple LLM providers with consistent API GitHub Stars: 15,000+ | Battle-tested: 100,000+ developers Installation bash Base installation pip install instructor With specific providers pip install "instructor[anthropic]" Anthropic Claude pip install "instructor[openai]" OpenAI pip install "instructor[all]" All providers Quick Start Basic Example: Extract User Data python import instructor from pydantic import BaseModel from anthropic import Anthropic Define output structure class User(BaseModel): name: str age: int email: str Create instructor client client = instructor.fromanthropic(Anthropic()) Extract structured data

Verified compatibility and discovery

Frequently asked questions

What is instructor?

instructor is a open-source AI agent skill with Copy skill directory. Structured LLM outputs validated with Pydantic.

Who is instructor best for?

instructor is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install instructor?

Install or run instructor using Copy skill directory. Check instructor for the latest setup command.

Is instructor actively maintained?

instructor may need a closer maintenance check before production use.

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Stars
232,138
Forks
46,253
Last commit
21 days ago
Last verified
Aug 18, 2026
Metadata fetched
Aug 18, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

Maintain this resource?

Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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