Pydantic v2 patterns for production Python: validators (@fieldvalidator, @modelvalidator), computed fields, strict types, discriminated unions, settings management, modelvalidate / modeldump, condecimal and Annotated[Decimal, ...] for money, performance tips, and a v1 to v2 migration checklist. Also covers FastAPI integration (responsemodel serialization, request validation, error envelope customization). TRIGGER WHEN: writing or refactoring Pydantic models in Python 3.10+; migrating a codebase from Pydantic v1 to v2; choosing between Annotated[Decimal, ...] vs condecimal; hitting v2 performance or serialization surprises; designing FastAPI request/response schemas or error envelopes with Pydantic. DO NOT TRIGGER WHEN: the task is Python testing (use python-tdd), generic typing unrelated to Pydantic (use mypy / typing docs), or non-Python schema work (use typescript-development for Zod / io-ts).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryEngineeringStars0
About this skill
Pydantic v2 patterns for production Python: validators (@fieldvalidator, @modelvalidator), computed fields, strict types, discriminated unions, settings management, modelvalidate / modeldump, condecimal and Annotated[Decimal, ...] for money, performance tips, and a v1 to v2 migration checklist. Also covers FastAPI integration (responsemodel serialization, request validation, error envelope customization). TRIGGER WHEN: writing or refactoring Pydantic models in Python 3.10+; migrating a codebase from Pydantic v1 to v2; choosing between Annotated[Decimal, ...] vs condecimal; hitting v2 performance or serialization surprises; designing FastAPI request/response schemas or error envelopes with Pydantic. DO NOT TRIGGER WHEN: the task is Python testing (use python-tdd), generic typing unrelated to Pydantic (use mypy / typing docs), or non-Python schema work (use typescript-development for Zod / io-ts).
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Pydantic v2 patterns for production Python: validators (`@field_validator`, `@model_validator`), computed fields, strict types, discriminated unions, settings management, `model_validate` / `model_dump`, `condecimal` and `Annotated[Decimal, ...]` for money, performance tips, and a v1 to v2 migration checklist. Also covers FastAPI integration (response_model serialization, request validation, error envelope customization). TRIGGER WHEN: writing or refactoring Pydantic models in Python 3.10+; migrating a codebase from Pydantic v1 to v2; choosing between `Annotated[Decimal, ...]` vs `condecimal`; hitting v2 performance or serialization surprises; designing FastAPI request/response schemas or error envelopes with Pydantic. DO NOT TRIGGER WHEN: the task is Python testing (use python-tdd), generic typing unrelated to Pydantic (use mypy / typing docs), or non-Python schema work (use typescript-development for Zod / io-ts).
About this listing
Category
Engineering
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI