Custom Kernels for All from Codex and Claude

A new agent skill now teaches AI coding assistants like Claude and Codex how to write complex, production-ready CUDA kernels. This skill packages essential domain knowledge on GPU-specific optimizations and integration patterns for popular libraries like `diffusers` and `transformers`. Developers can simply prompt an agent to generate a complete kernel project, including the CUDA source code, PyTorch bindings, and benchmark scripts. This approach has already been used to successfully create and validate performance-boosting kernels for real-world models and pipelines from end to end.