Skills Guide

JSON to Pydantic

VerifiedSafe

Converts JSON data into Python Pydantic typed models.

Download and use
Sby Skills Guide Bot
DevelopmentBeginner
7/28/2026
Claude CodeCursorWindsurfCopilotCodex
#pydantic#python#json#code-generation#type-hints

Recommended for

Backend developerClaude CodeCode reviewFrontend developerCursorCopilot

Automated summary

Turns a JSON snippet or API response into strongly-typed Python Pydantic data models.

Strengths

  • Spells out type mapping rules (string, number, boolean, array, null, nested objects)
  • Extracts nested dictionaries into their own sub-classes instead of loose dict fields
  • Clear style rules: PascalCase class names, List/Optional from typing, None defaults for nullable fields
  • Anchors output format on a bundled input/output example pair

Limitations

  • Covers plain Pydantic only: no validators, constrained/aliased Field definitions, or discriminated unions
  • Infers types from a single sample, so missing or polymorphic fields can be typed incorrectly
  • Assumes Pydantic v1 and typing imports rather than modern Python 3.10+ syntax such as `str | None`
When to use it

When you have a sample JSON API payload and want a clean Pydantic model quickly to validate or deserialize it.

When not to use it

When you need custom validation, field aliases, or a schema generated from an OpenAPI spec rather than a hand-picked sample.

Security analysis

Safe
Quality score82/100

The skill only provides instructions for converting JSON into Pydantic models. It declares no tools and contains no destructive, exfiltrating, or obfuscated actions. There is no execution risk.

No concerns found

How this analysis is made

Examples

API response to model
Convert this JSON API response into Pydantic models, with nested objects as separate classes:
{"id": 42, "name": "Ada", "active": true, "tags": ["admin"], "preferences": {"theme": "dark", "notifications": null}}
Nullable field handling
Here's a JSON payload where some fields can be null. Generate the Pydantic classes and default the nullable fields to None:
{"order_id": "A-100", "total": 19.99, "coupon": null, "items": [{"sku": "X1", "qty": 2}]}
Nested sub-class extraction
Take the JSON in examples/input_data.json and produce models in the same style as examples/output_model.py, pulling the nested preferences dict into its own class.

name: json-to-pydantic description: Converts JSON data snippets into Python Pydantic data models.

JSON to Pydantic Skill

This skill helps convert raw JSON data or API responses into structured, strongly-typed Python classes using Pydantic.

Instructions

  1. Analyze the Input: Look at the JSON object provided by the user.

  2. Infer Types:

    • string -> str
    • number -> int or float
    • boolean -> bool
    • array -> List[Type]
    • null -> Optional[Type]
    • Nested Objects -> Create a separate sub-class.

  3. Follow the Example: Review examples/ to see how to structure the output code. notice how nested dictionaries like preferences are extracted into their own class.

    • Input: examples/input_data.json
    • Output: examples/output_model.py

Style Guidelines

  • Use PascalCase for class names.
  • Use type hints (List, Optional) from typing module.
  • If a field can be missing or null, default it to None.

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/json-to-pydantic-ms47vq2y' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/json-to-pydantic-ms47vq2y/download' --output '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md.part' && mv '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md.part' '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

After inspection, copy the complete folder into your project using one of the commands below, then open a new tool session. The command stops if a folder with the same name already exists: compare the files before replacing it.

Claude Code
test -f '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md' && test -s '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/json-to-pydantic' && cp -R '.skill-downloads/json-to-pydantic-ms47vq2y' '.claude/skills/json-to-pydantic'

Cursor
test -f '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md' && test -s '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/json-to-pydantic' && cp -R '.skill-downloads/json-to-pydantic-ms47vq2y' '.cursor/skills/json-to-pydantic'

Codex
test -f '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md' && test -s '.skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/json-to-pydantic' && cp -R '.skill-downloads/json-to-pydantic-ms47vq2y' '.agents/skills/json-to-pydantic'

OpenSkills

OpenSkills must already be installed. The local install/read procedure is checked with OpenSkills 1.5.0, which requires Node.js ≥ 20.6.0. Catalog slugs are not resolved automatically.

Official OpenSkills installation
openskills install './.skill-downloads/json-to-pydantic-ms47vq2y'

openskills read 'json-to-pydantic-ms47vq2y'

Reading should display the installed file content and its base directory. It does not run the skill or install its dependencies.

For an agent that reads AGENTS.md, then sync the index. This command changes AGENTS.md: review the diff before using it.

openskills sync

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/json-to-pydantic-ms47vq2y/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

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