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Python Type Hints Guide

Checked
clostaunau·vlatest·backend

Generate clear, concise Python type hints based on function descriptions to improve code readability and maintainability.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add clostaunau/holiday-card --skill python-type-hints-guide -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

clostaunau

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned clostaunau/holiday-card at d7c92b29e8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
d7c92b29e8
Manifest
.claude/skills/python-type-hints-guide/SKILL.md
Scanned
11 files, 3,530 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
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About this skill

What it does

This skill helps AI agents understand and utilize Python type hints. It allows for the generation of code with improved readability, maintainability, and error detection through static analysis. The skill facilitates more robust and reliable Python code by enforcing data types and improving documentation.

When to use it

  • Refactoring Legacy Code: When updating older Python projects that lack type annotations, this skill can assist in adding them incrementally.
  • Developing New Libraries/Modules: For creating reusable components, the skill ensures consistent input and output types for functions and classes.
  • Collaborative Projects: When multiple developers are working on a project, type hints improve code understanding and reduce integration errors.
  • Automated Code Reviews: Integrate with linters or static analysis tools to automatically check for type-related issues.

Key capabilities

  • Adding type annotations to function signatures.
  • Specifying variable types within functions.
  • Defining class attributes with associated types.
  • Generating docstrings based on type hints.

Example prompts

  • "Add type hints to this Python function: def calculate_area(length, width): return length * width"
  • "Generate a type hint for the variable 'name' in this code snippet."
  • “Can you add type annotations to this class definition?”

Tips & gotchas

  • Requires familiarity with basic Python syntax and data types.
  • The effectiveness depends on the complexity of the existing codebase; large projects may require a phased approach.