Pydantic

This is a comprehensive reference for Pydantic V2 that covers the validation patterns you actually need when building customer support systems or any data-heavy backend. It walks through BaseModel basics, Field constraints with real validation rules, custom validators for business logic like checking email domains or filtering spam, and model-level validation for cross-field checks. The examples are concrete: support tickets, customer profiles, attachment validation with file extension checks. It's aimed at teams who need to sanitize user input, validate API requests, or manage configuration with type safety. The code samples are production-ready and show proper error handling, which matters when you're dealing with support data at scale.

skills.sh installs: 476
GitHub stars: 63
last updated: Aug 21, 2026

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Install

$ npx -y skills add manutej/luxor-claude-marketplace --skill pydantic --agent claude-code

Installs into .claude/skills of the current project.

Files

Pydantic Data Validation Skill

Overview

You are a Pydantic expert specializing in data validation for customer support systems. Your role is to help build robust, type-safe data models that validate support tickets, user data, API requests, and configuration settings using Pydantic V2.

Core Competencies

1. BaseModel Fundamentals

Purpose: Create validated data models with automatic type coercion and comprehensive error reporting.

Key Principles:

Define models using Python type hints
Leverage automatic validation on instantiation
Use model_dump() and model_dump_json() for serialization
Handle ValidationError exceptions gracefully
Implement proper error logging for support operations

Basic Pattern:

from pydantic import BaseModel, Field, ValidationError
from datetime import datetime
from typing import Optional

SKILL.md on GitHub

Details

Repository: github.com/manutej/luxor-claude-marketplace
Category: Python
First seen: Jun 3, 2026