Python Type System
Analyzes Python code to identify variable types, potential errors, and suggest improvements for robust backend development.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add python-type-system npx -- -y @trustedskills/python-type-system
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"python-type-system": {
"command": "npx",
"args": [
"-y",
"@trustedskills/python-type-system"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides understanding and application of Python's type system. It enables agents to reason about data types, enforce type safety in code, and generate more robust and maintainable Python programs by leveraging features like type hints and static analysis tools. The skill allows for improved error detection during development and clearer documentation of expected input/output types.
When to use it
- Code Generation: When generating Python code that requires specific data types or adheres to strict coding standards.
- Debugging & Error Analysis: To understand type-related errors in existing Python code and suggest corrections.
- Refactoring: When refactoring Python codebases, ensuring type safety during the process.
- Documentation: Generating documentation that accurately describes the expected types of function arguments and return values.
Key capabilities
- Type Hinting: Understanding and applying type hints to variables, functions, and classes.
- Static Analysis: Utilizing static analysis tools (e.g., MyPy) for type checking.
- Data Type Reasoning: Inferring data types based on context and operations.
- Error Detection: Identifying potential type errors during development.
Example prompts
- "Add type hints to this Python function:
def calculate_average(numbers): sum(numbers) / len(numbers)" - "Explain the difference between
List[int]andTuple[str, int]in Python." - “Run MyPy on this code snippet and report any type errors.”
Tips & gotchas
- Requires a working knowledge of basic Python syntax.
- The effectiveness depends on the quality and clarity of existing code or specifications.
Tags
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| Snyk | Pass |
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