| name | python-scitex |
| description | Python development for scientific computing and SciTeX projects. Includes testing, debugging, ML practices, and environment management. |
Python SciTeX Development Skill
When to Use
- Writing Python code for scientific computing projects
- Developing SciTeX-based applications
- Implementing machine learning pipelines
- Setting up Python environments for research
- Debugging multi-agent Python systems
Core Guidelines
General Principles
Follow Python best practices:
@general.md
@zen_of_python.md
Testing
Testing strategies for scientific code:
@NOT-FULL-PYTEST-BUT-PARTIAL-PYTEST.md
Debugging
Multi-agent debugging approach:
@HOW-TO-DEBUG-with-MULTIPLE_AGENTS.md
Machine Learning
ML development practices:
@Machine-Learning.md
Environment Management
Python environment setup:
@env.md
Django (if applicable)
Django-specific guidelines:
@django.md
Checklist
Use this for code reviews:
@CHECKLIST.md