Pycharm
PyCharm Python IDE with debugging and testing. Use for Python development.From its SKILL.md
npx -y skills add G1Joshi/Agent-Skills --skill pycharmAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 12 stars12 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
1.3 KB, 281 tokens by cl100k_base, as published. Nobody here has run it
PyCharm
PyCharm is the best IDE for serious Python development. It excels in Django support, Data Science (Jupyter), and virtualenv management.
When to Use
- Django/Flask: It understands templates, routes, and ORM models better than VS Code.
- Data Science: Integrated "SciView" for pandas dataframes and plotting.
- Testing: Visual test runner for
pytest.
Core Concepts
Virtual Environment Support
Auto-detects and activates venvs. Handles pip, poetry, and uv.
Debugger
One of the best visual Python debuggers. Conditional breakpoints, evaluate expression.
Type Checking
Performs robust static analysis even without type hints, but works best with them.
Best Practices (2025)
Do:
- Use "Python > Data Science" mode: If working with notebooks, the UI adapts.
- Use Endpoints View: Visualizes all API routes in your Django/FastAPI app.
- Configure Interpreter: Ensure the correct
venvis selected in bottom right.
Don't:
- Don't ignore the yellow: PyCharm's PEP 8 warnings teach you better Python.
References
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.