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Ejecuta cualquier Skill en Manus con un clic

python-type-hints-converter

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Actualizado25 de enero de 2026 a las 18:01

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

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

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Fuente

jorgealves

jorgealves/agent_skills

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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.