cxcscmu/pytorch-testing-logging
Run PyTorch unit tests, save results to NumPy files, and log environment information for reproducibility. Use this skill when executing test suites for neural network functions, validating loss computations, saving tensor outputs for verification, and creating reproducibility logs with Python/package versions.
npx skills add https://github.com/cxcscmu/SkillLearnBench --skill pytorch-testing-logging
Take cxcscmu/pytorch-testing-logging from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.