# Ml Training Recipe > 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. Use when this capability is needed. - Skill: `tomevault-io/ml-training-recipe` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/ml-training-recipe` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/ml-training-recipe/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/ml-training-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. --- > Source: [companion-inc/feynman](https://github.com/companion-inc/feynman) — distributed by [TomeVault](https://tomevault.io).