Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation.
Install
npx skills add Orchestra-Research/AI-Research-SKILLs --skill ml-training-recipesnpx skills add Orchestra-Research/AI-Research-SKILLs --skill ml-training-recipes -a claude-code -gnpx skills add Orchestra-Research/AI-Research-SKILLs --skill ml-training-recipes -a codex -ggemini skills install https://github.com/Orchestra-Research/AI-Research-SKILLs.git --path 10-optimization/ml-training-recipesgh skill install Orchestra-Research/AI-Research-SKILLs ml-training-recipesgit clone --depth 1 https://github.com/Orchestra-Research/AI-Research-SKILLs /tmp/Orchestra-Research__AI-Research-SKILLs
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/Orchestra-Research__AI-Research-SKILLs/10-optimization/ml-training-recipes ~/.claude/skills/ml-training-recipes # Claude Code
cp -R /tmp/Orchestra-Research__AI-Research-SKILLs/10-optimization/ml-training-recipes ~/.agents/skills/ml-training-recipes # Codex, Cursor, Gemini CLI, Copilot, OpenCode