huawei-cloud-cloudrobo-weight-layout@1.0.0

Publisher claims: "Standard directory layout and naming conventions for saving model weights (checkpoints). Use this skill when the user needs to implement checkpoint saving in a training script, restructure an existing checkpoint/output directory layout, decide where to store checkpoint weights and final weights, name weight files, or write a loader/deployment path resolver that consumes checkpoints. Applies to any deep learning training pipeline (VLA / robot foundation models, LLM fine-tuning, diffusion models, etc.) — not tied to a single codebase. Also triggers when the user simply says "save weights", "checkpoint directory", "output layout", or asks where model weights should go after training." Observed in sandbox: no network, touches nothing outside the project, writes no memory.