# Ml Training Recipe

Find implementable ML training recipes from papers, datasets, docs, and code.

- Repository: https://github.com/Companion-Inc/feynman (10055 stars)
- Category: Data and ML
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Companion-Inc/feynman --skill ml-training-recipe -g -a claude-code -y`
Codex: `npx skills add Companion-Inc/feynman --skill ml-training-recipe -g -a codex -y`
Cursor: `npx skills add Companion-Inc/feynman --skill ml-training-recipe -g -a cursor -y`
Gemini CLI: `npx skills add Companion-Inc/feynman --skill ml-training-recipe -g -a gemini-cli -y`

## 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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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.