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python-type-hints-converter

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Atualizado25 de janeiro de 2026 às 18:01

Automatically add or improve type annotations in legacy Python code. Use to improve code readability, IDE support, and catch type errors early.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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jorgealves

jorgealves/agent_skills

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

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SKILL.md

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name	python-type-hints-converter
description	Automatically add or improve type annotations in legacy Python code. Use to improve code readability, IDE support, and catch type errors early.

Python Type Hints Converter

Purpose and Intent

Automatically add or improve type annotations in legacy Python code. Use to improve code readability, IDE support, and catch type errors early.

When to Use

Project Setup: When initializing a new Python project.
Continuous Integration: As part of automated build and test pipelines.
Legacy Refactoring: When updating older Python codebases to modern standards.

When NOT to Use

Non-Python Projects: This tool is specialized for the Python ecosystem.

Error Conditions and Edge Cases

Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
Incompatible Versions: If the project uses a Python version not supported by the tools.

Security and Data-Handling Considerations

All analysis is performed locally.
No source code or credentials are ever transmitted externally.

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name	python-type-hints-converter
description	Automatically add or improve type annotations in legacy Python code. Use to improve code readability, IDE support, and catch type errors early.

Python Type Hints Converter

Purpose and Intent

Automatically add or improve type annotations in legacy Python code. Use to improve code readability, IDE support, and catch type errors early.

When to Use

Project Setup: When initializing a new Python project.
Continuous Integration: As part of automated build and test pipelines.
Legacy Refactoring: When updating older Python codebases to modern standards.

When NOT to Use

Non-Python Projects: This tool is specialized for the Python ecosystem.

Error Conditions and Edge Cases

Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
Incompatible Versions: If the project uses a Python version not supported by the tools.

Security and Data-Handling Considerations

All analysis is performed locally.
No source code or credentials are ever transmitted externally.