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Structured LLM outputs with Pydantic v1.0.0

Use this resource to extract structured data from LLM responses

New

  • 437 downloads
  • 175 likes
  • 209 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install structured-llm-outputs-pydantic

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent defines Pydantic schemas, connects the Instructor client to your provider and handles invalid responses with retries. You get code that returns typed objects, with partial streaming when needed.

Mostly picked by

Updated November 2, 2026

Card for the “Structured LLM outputs with Pydantic” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, quick start and core concepts
  • references/validation.md: validation and retries
  • references/providers.md and references/examples.md: providers and code examples

Good fit for

  • You need reliable fields extracted from free text such as contacts, invoices or records
  • Your LLM calls often return malformed JSON

Not for

    Tags

    • pydantic
    • instructor
    • json
    • llm
    • validation

    About

    You say

    “Extract name, email and amount from these order emails, using a validated Pydantic schema.”

    Card for the “Structured LLM outputs with Pydantic” skill

    Skill published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to extract structured data from LLM responses
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/examples.md2.4 KB
    • references/providers.md1.4 KB
    • references/validation.md15.5 KB
    • SKILL.md17.2 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/prompt-engineering-instructor
    Licence
    MIT

    Notice

    « prompt-engineering-instructor » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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