Can it help with nested data structures?

Absolutely. It covers model composition, inheritance, and validating complex lists of nested objects within API requests.

Does this skill support the latest Pydantic features?

Yes, it specifically focuses on Pydantic v2 syntax, including ConfigDict, field_validator, and model_validator decorators.

Can I validate query and path parameters with this skill?

Yes, it includes specialized patterns for applying range, length, and regex constraints to URL path and query parameters.

Does it handle sensitive data exclusion in responses?

Yes, it provides patterns for using response_model to automatically filter out sensitive fields like passwords or internal keys.

FastAPI Validation Expert

Name: FastAPI Validation Expert
Author: TheBushidoCollective

byTheBushidoCollective

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API Development

Implements robust, type-safe data validation and API modeling using FastAPI and Pydantic v2.

About

This skill empowers Claude to architect production-grade FastAPI applications by leveraging advanced Pydantic v2 patterns. It provides comprehensive guidance on creating complex data models, implementing custom field and model validators, handling nested structures, and securing APIs through strict request and response validation. By following these implementation patterns, developers can ensure their APIs are self-documenting, type-safe, and resilient against malformed data inputs.

Key Features

Automated response modeling and sensitive data filtering
39 GitHub stars
Custom field and model-level validators with regex and logic support
Advanced Pydantic v2 BaseModel and ConfigDict implementation
Complex nested model composition and inheritance patterns
Comprehensive request body, query, and path parameter validation

Use Cases

Building secure authentication endpoints with strict password and email validation
Designing complex data processing APIs with deeply nested JSON structures
Migrating and refactoring existing FastAPI projects to Pydantic v2 standards

About

Key Features

Automated response modeling and sensitive data filtering
39 GitHub stars
Custom field and model-level validators with regex and logic support
Advanced Pydantic v2 BaseModel and ConfigDict implementation
Complex nested model composition and inheritance patterns
Comprehensive request body, query, and path parameter validation

Use Cases

Building secure authentication endpoints with strict password and email validation
Designing complex data processing APIs with deeply nested JSON structures
Migrating and refactoring existing FastAPI projects to Pydantic v2 standards