veomni-uv-update

This Skill automates version bumps for the torch and CUDA stack across multiple configuration files like pyproject.toml and Dockerfiles, ensuring all pinned dependencies remain consistent and minimizing manual synchronization errors.

Regenerating lockfiles after a uv dependency update is handled by the Skill's environment synchronization feature, which automatically rebuilds lockfiles to ensure consistency across configuration files and Docker images before deployment.

Yes, you can synchronize uv and transformers version updates for VeOmni deployment. The Skill facilitates dependency updates for these packages across configuration files and ensures environment consistency for deployment readiness.

Yes, this dependency management approach supports updating Docker images. It facilitates version updates for related packages across both configuration files and Docker images to ensure full environment consistency.

You need a dedicated Skill for dependency version bumps to reduce the manual effort and errors inherent in updating pinned versions across multiple files and regenerating lockfiles during environment upgrades.