python-playground
Run and test Python code in a dedicated playground directory. Use when you need to execute Python scripts, test code snippets, investigate CPython behavior, or experiment with Python without affecting the main codebase.
Install
mkdir -p .claude/skills/python-playground && curl -L -o skill.zip "https://mcp.directory/api/skills/download/2674" && unzip -o skill.zip -d .claude/skills/python-playground && rm skill.zipInstalls to .claude/skills/python-playground
About this skill
Python Playground
Run Python code in an isolated playground directory for testing and experimentation.
Instructions
- First, ensure the playground directory exists:
mkdir -p playground - Use the Write tool to create the Python file at
playground/test.py - Run with:
uv run playground/test.pyto test cpython behavior orcargo run -- playground/test.pyto test monty behavior
IMPORTANT: Use separate tool calls for each step - do NOT chain commands with && or use heredocs. This allows the pre-approved commands to work without prompting.
Example workflow
Step 1 - Create directory (Bash, already allowed):
mkdir -p playground
Step 2 - Write code (use Write tool, not cat):
Write to playground/test.py:
def foo():
raise ValueError('test')
foo()
Step 3 - Run script (Bash, already allowed):
uv run playground/test.py
Guidelines
- The
playground/directory is gitignored - Use a different file name for each test you want to run, give the files recognizable names like
test_value_error.py - Use
uv run ...to run scripts (uses project Python) - Or,
cargo run -- ...to run scripts using Monty - Use Write tool for creating files (avoids permission prompts)
- Run mkdir and uv as separate commands (not chained)
- do NOT delete files from playground after you've finished testing
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