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Python Type Hints Converter

  • 155 installs
  • 2 repo stars
  • Updated January 25, 2026
  • jorgealves/agent_skills

Convert or add Python type hints across modules to improve mypy/pyright checks, IDE support, and safer refactors in growing codebases.

About

Converts and adds Python type hints across backend modules to strengthen static analysis, IDE assistance, and refactor safety, aligning annotations with mypy or pyright expectations in maturing codebases.

  • Incremental hint conversion
  • Callable and generic annotations
  • Mypy and pyright alignment
  • Safer refactor surfaces
  • Module-by-module rollout

Python Type Hints Converter by the numbers

  • 155 all-time installs (skills.sh)
  • +9 installs in the week ending Aug 2, 2026 (Skillselion tracking)
  • Ranked #77 of 290 Python skills by installs in the Skillselion catalog
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jorgealves/agent_skills --skill python-type-hints-converter

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Listed on Skillselion
Installs155
repo stars2
Last updatedJanuary 25, 2026
Repositoryjorgealves/agent_skills

What it does

Convert or add Python type hints across modules to improve mypy/pyright checks, IDE support, and safer refactors in growing codebases.

Files

SKILL.mdMarkdownGitHub ↗

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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