This gets you set up with RWKV, the Receptance Weighted Key Value architecture that claims to blend Transformer training parallelization with RNN inference efficiency. The skill walks through installing PyTorch with CUDA support, pulling in PyTorch Lightning and DeepSpeed, then getting the RWKV package itself running. It's forked from ovachiever/droid-tings and packaged by davila7. Honestly, the skill documentation is pretty bare bones. You're mostly getting installation commands here, so expect to look elsewhere for actual implementation patterns or architecture details. Useful if you just need the dependencies sorted quickly, less so if you're learning RWKV from scratch.
npx skills add https://github.com/davila7/claude-code-templates --skill rwkv-architecture