Execute Python scripts with temporary dependencies via uv run.
npx skills add https://github.com/hoelzro/dotfiles --skill python-style
Please help me install this Agent Skill. Skill: python-style Source: https://github.com/hoelzro/dotfiles/tree/main/claude/skills/python-style Command: npx skills add https://github.com/hoelzro/dotfiles --skill python-style
This Skill addresses the challenges of maintaining consistent Python coding standards, adhering to best practices, and managing dependencies for quick scripts without polluting your environment. It automates the enforcement of style guides and simplifies script execution.
uv run, eliminating the need for virtual environments for one-off tasks.pandas and numpy without affecting your global Python setup.Review the attached Python script 'data_analysis.py' for style and best practices, suggesting improvements based on the 'python-style' skill.
High-intent search queries and answers about installing and using this skill.
Use `uv run` to execute Python scripts with temporary, isolated dependencies. This pins package versions per-run without modifying your global Python environment or requiring virtual environment setup, ensuring reproducible results for ad hoc tasks and data processing.
Automate style review by checking scripts against defined coding conventions and best practices. This catches deviations early, ensures consistency across refactoring and code review, and maintains adherence to established guidelines without manual enforcement.
Yes. Dependency management through `uv run` lets you specify package versions inline for individual scripts, keeping your global Python clean and eliminating conflicts between projects or experimental runs.
Submit your script for automated style review to identify deviations from coding conventions and best practices. The review suggests improvements for robustness, maintainability, and consistency with established guidelines.
Use isolated dependencies for one-off data processing, quick experiments, and demonstrations where setup overhead isn't justified. This approach avoids virtual environment management while maintaining reproducibility and version isolation for temporary tasks.
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