Manage Python dependencies and sync environments for uv projects.
npx skills add https://github.com/Unique-AG/ai --skill uv-unique-ag
Please help me install this Agent Skill. Skill: uv Source: https://github.com/Unique-AG/ai/tree/main/.claude/skills/uv Command: npx skills add https://github.com/Unique-AG/ai --skill uv-unique-ag
uv provides deterministic Python dependency management and clean environment handling to prevent drift between pyproject.toml and the lock file.
Run uv init to scaffold a new uv-managed project and create pyproject.toml and uv.lock.
High-intent search queries and answers about installing and using this skill.
To sync your Python virtual environment to match the lockfile, the environment is updated to exactly match uv.lock. This ensures reproducible installs by aligning your project's active dependencies with the locked versions.
Adding and updating Python dependencies in pyproject.toml is best handled by modifying both pyproject.toml and uv.lock in a single step. This prevents configuration drift by keeping dependency declarations and locked versions synchronized.
Yes, you can run commands inside a Python project's virtual environment without manual activation. Commands are executed directly within the isolated uv-managed environment, bypassing the need to manually source activation scripts.
Initialising a new Python project with minimal setup involves running a scaffolding command to generate pyproject.toml and uv.lock. This creates a clean, deterministic foundation for managing your project's dependencies from the start.
Dependency drift between pyproject.toml and the lockfile occurs when declared dependencies are modified without synchronizing the locked versions. Applying deterministic dependency management regenerates locks and syncs the environment to prevent this mismatch.
the-perfect-developerManage Python projects with uv for initialization, dependencies, and environments.
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DrLuggelsManage Python dependencies and virtual environments using the uv package manager.
