What is the best uv mode for active development?

For active development, using 'uv sync' combined with 'uv run ' is recommended as it provides immediate updates without needing a reinstall.

How can I verify which version of a tool uv is running?

You can use the diagnostic commands 'which ' to find the path and 'uv run --version' to compare the local version against the installed one.

How do I fix uv code changes not appearing in my environment?

This skill recommends a 'clean and reinstall' approach: remove the build/, dist/, and *.egg-info directories, then run `uv tool install --force .` to ensure a fresh build.

Does 'uv tool install --force' clear the build cache?

No, the force flag may still reuse cached wheels. You must manually delete build artifacts first to guarantee that new code is included.

UV Python Troubleshooting

Name: UV Python Troubleshooting
Author: WarrenZhu050413

byWarrenZhu050413

•

开发者工具

Resolves Python package management issues by providing troubleshooting workflows for the uv package manager, including cache clearing and installation fixes.

This skill provides a comprehensive diagnostic toolkit for Python developers using the Astral uv package manager. It streamlines the resolution of common development hurdles such as stale build caches, out-of-sync editable installs, and outdated entry points. By offering specific decision trees, recovery commands, and diagnostic checks for build artifacts, it helps developers maintain a clean local environment and ensures that code changes are correctly reflected in their runtime applications.

主要功能

01Troubleshooting decision trees for uv installation modes

02Diagnostic tools for verifying installation paths and entry points

03Automated cleanup of stale build artifacts and egg-info files

045 GitHub stars

05Cache location identification for global and local uv tools

06Quick-reference commands for local development synchronization

使用场景

01Cleaning up corrupted global tool installations to ensure fresh builds

02Debugging entry point errors after modifying pyproject.toml scripts

03Fixing scenarios where code changes are not appearing in an installed Python package

主要功能

01Troubleshooting decision trees for uv installation modes

02Diagnostic tools for verifying installation paths and entry points

03Automated cleanup of stale build artifacts and egg-info files

045 GitHub stars

05Cache location identification for global and local uv tools

06Quick-reference commands for local development synchronization

使用场景

01Cleaning up corrupted global tool installations to ensure fresh builds

02Debugging entry point errors after modifying pyproject.toml scripts

03Fixing scenarios where code changes are not appearing in an installed Python package