Agent Skills
› advaitpaliwal/feynman
› ml-training-recipe
ml-training-recipe
GitHub提供可执行的机器学习训练配方，涵盖微调、复现及超参选择。通过研究员和验证者协作，从论文与代码中输出带来源的排名方案。
Trigger Scenarios
用户希望进行模型微调或训练
需要复现论文中的实验方法
寻找实用的数据集或基准测试方案
Install
npx skills add advaitpaliwal/feynman --skill ml-training-recipe -g -y
SKILL.md
Frontmatter
{
"name": "ml-training-recipe",
"description": "Find implementable ML training recipes from papers, datasets, docs, and code. Use when the user wants to fine-tune, train, reproduce, or choose a practical ML method, dataset, hyperparameter setup, or benchmark recipe."
}
ML Training Recipe
Run the /recipe workflow. The slash command expands the full workflow instructions in the active session; do not try to read a relative prompt-template path from the installed skill directory.
Agents used: researcher, optionally verifier
Output: ranked recipe brief in outputs/ with dataset, method, code, and source provenance.
Version History
- 54d08a3 Current 2026-07-25 07:15
