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Pyrefly Type Coverage

Official
pytorch·vlatest·backend

Pyrefly Type Coverage analyzes your code to identify all used types and their dependencies, boosting understanding & debugging efficiency.

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 pytorch/pytorch --skill pyrefly-type-coverage -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

pytorch

Matched to the vendor's own GitHub organisation.

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.

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    Makes no network calls.

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    Scanned pytorch/pytorch at edd4fc2d34.

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Scanned
1 file, 236 lines
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What each check looks for →

About this skill

What it does

This skill helps you improve type coverage in your Python code using Pyrefly, Meta's type checker. It guides you through a structured process of removing error suppression directives, configuring stricter type checking within your pyrefly.toml file, running the type checker to identify missing annotations, and then adding those annotations. The goal is to systematically resolve all identified type errors in your Python files or directories.

When to use it

  • When you want to improve the robustness and maintainability of your Python code through better type hinting.
  • During refactoring efforts where increased type safety is desired.
  • To address specific type checking errors flagged by Pyrefly.
  • For projects already using a pyrefly.toml configuration file.

Key capabilities

  • Provides step-by-step instructions for improving type coverage with Pyrefly.
  • Guides users on removing error suppression directives (pyre-ignore-all-errors).
  • Explains how to configure stricter type checking within pyrefly.toml.
  • Instructs users on running the Pyrefly type checker and interpreting its output.
  • Offers examples of common annotation patterns for function signatures, class attributes, and complex types.

Example prompts

  • "Guide me through improving type coverage in my Python file."
  • "How do I configure stricter type checking using pyrefly?"
  • "What are some common annotation patterns I can use with Pyrefly?"

Tips & gotchas

  • Prerequisites: This skill requires that your project already has a pyrefly.toml configuration file.
  • The skill focuses on resolving errors; suppressing them with # pyrefly: ignore[...] should be a last resort after attempting to fix the underlying issue.
  • Type annotations may require Python 3.10 or later syntax for complex types.