A skill that reads a deep learning project's README and main files before you run anything and lists the commands they describe. It then suggests the smallest run you can trust to check the results.

A skill that plans the software setup and file locations you need before re-running a deep learning research project. It suggests install commands and where to put model and data files.

A skill that runs one short check command when you re-run a deep learning research project and saves the results as standard report files. It also records any edits made to the project's files.

This skill helps deep learning researchers test new ideas on top of an existing project, with fair comparisons against a fixed benchmark. It marks each result as a candidate to check and saves the reports in `explore_outputs/`.

A skill that reads a deep learning research project and explains how it is built, without changing any code. It also points out code that looks suspicious so you can check it.

A skill that helps your agent rerun a deep learning research project and check whether it works as its README describes. It starts with the smallest test and records every step and change.

A skill that finds the cause of errors in deep learning research code, such as running out of GPU memory, before changing anything. It suggests the smallest fix and waits for your approval.

A skill that helps you try small, low-risk code changes in a deep learning research project on a separate branch. It records why each change matters and how to undo it.

A skill that carefully runs a training command you already chose for a deep learning project. It saves the command, settings, logs, and results in one standard folder.

A skill that plans quick, small trial runs for deep learning research, such as testing on part of the data or trying many settings. It reports the results without claiming more than they show.