Guide for training PyTorch models using this template's config-driven pipeline. Use this skill whenever the user wants to: train a model, create experiment configs (run.yaml / opt.yaml / best.yaml), run hyperparameter optimization (HPO) with Optuna, extract best parameters from an HPO study, set up a new experiment version, or scaffold a new model/data recipe. Triggers on: "train", "HPO", "optimize", "create config", "best params", "new experiment", "run training", "set up model", "preflight check", "HPO analysis".
How to install pytorch-train?
axect/pytorch_template/pytorch-train
$npx -y skills add axect/pytorch_template --skill pytorch-trainInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/axect/pytorch_template" --skill "axect/pytorch_template/pytorch-train"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/axect/pytorch_template" that are relevant to the current task. Run `npx skills add "https://github.com/axect/pytorch_template"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-aiUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.Jul 2026
- ai-research-exploreRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates.Jul 2026
- ai-research-reproductionRigor Reproduce compatible skill slug for README-first deep learning repository reproduction.Jul 2026
- explore-codeRigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.Jul 2026
- run-trainRigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup…Jul 2026
- explore-runRigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories.Jul 2026
