Add or update UniRL model package support. Use when adding diffusion or autoregressive model pipelines, model config dataclasses, Bundle/Pipeline/Stage/Conditions implementations, LoRA targets, FSDP wrapping hints, Sample/Part plumbing, or multimodal text/image/video/audio conditioning.
Create and repair UniRL pull requests. Use when creating a PR, editing a PR body, responding to PR Body or Semantic Pull Request CI failures, running gh pr create, or when the user mentions PR body, pull request template, body check, title check, or pull request formatting.
A development workflow and coding-standard skill for Python, PyTorch, deep-learning code, shell scripts, and configuration files. It requires understanding the project, proposing a plan for approval, writing tests, simplifying code, and reviewing the result.