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.
Installs into .claude/skills of the current project.
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---
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.
