Validate Python data using type hints and runtime checks with Pydantic.
npx skills add https://github.com/LNieto-V/agronexus_ai --skill pydantic-lnieto-v
Please help me install this Agent Skill. Skill: pydantic Source: https://github.com/LNieto-V/agronexus_ai/tree/main/.agents/skills/pydantic Command: npx skills add https://github.com/LNieto-V/agronexus_ai --skill pydantic-lnieto-v
This Skill simplifies data validation by leveraging Pydantic's type hints and runtime checks, ensuring data integrity and reducing manual validation efforts.
Use the pydantic skill to validate a user object with the following schema:
from pydantic import BaseModel, EmailStr
class User(BaseModel):
id: int
name: str = Field(..., min_length=1, max_length=100)
email: EmailStr
created_at: datetime = Field(default_factory=datetime.now)
is_active: bool = True
High-intent search queries and answers about installing and using this skill.
You can validate API request data by defining a Pydantic BaseModel with Python type hints and runtime validation rules. The framework parses incoming data, checks it against the schema, and ensures data integrity with immediate feedback for FastAPI and Django applications.
Managing application settings is best handled by defining a BaseModel with type hints for your configuration variables. This approach parses and validates environment variables and settings, ensuring type safety and reducing manual validation efforts.
Yes, Pydantic works with SQLAlchemy and Django ORM models to validate data across various application contexts. It integrates seamlessly to enforce type safety and validation rules directly within your ORM workflows.
Yes, you can enforce custom validation rules by using the Field class within your BaseModel. This allows you to set constraints like min_length and max_length on strings, enabling strict runtime checks for data integrity.
Yes, you need to install the Pydantic dependency separately to use this Skill. It relies on Pydantic's Rust-powered core to execute runtime type checking and parse data validation rules efficiently.
DiegoHeerValidate Python data with type hints and runtime checks using Pydantic v2.
promptranksExport validated PSV samples to SQL or JSON for database import.
bobmatnycValidate Python data models with Pydantic v2 runtime type checking.
libertininickDefine Python data-structure conventions for Pydantic models and dataclasses.