# run-train

> Claude/Codex skill by [@lllllllama](https://omgskills.com/library/lllllllama/index.md) · 484 stars · 356k installs · Updated 2026-09-23

Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to standardized \`train\_outputs/\`. Do not use for environment setup, exploratory sweeps, speculative idea implementation, or end-to-end orchestration.

Tags: agent-skills, ai-agents, deep-learning, reproducibility, research-tools

## Install

```sh
git clone https://github.com/lllllllama/RigorPilot-Skills /tmp/RigorPilot-Skills && ln -s /tmp/RigorPilot-Skills/skills/run-train ~/.claude/skills/run-train
```

## From README

run-train Use this as the Rigor Train skill. The installed slug remains run-train for compatibility. Use the shared operating principles in ../ai-research-reproduction/references/agent-operating-principles.md; this skill should keep training evidence bounded while leaving repository-specific monitoring details to the model. When to apply When the training command has already been selected and should be executed conservatively. When the researcher wants startup verification, short-run verification, full training kickoff, or resume handling. When the run needs structured training status, checkpoint, and metric reporting. When not to apply When the main task is environment or asset download. When the researcher wants inference-only or evaluation-only execution. When the task is speculative exploration, multi-variant sweeps, or autonomous idea implementation. When the user still needs repository intake or paper gap resolution.

## Links

- HTML page: https://omgskills.com/library/lllllllama/rigorpilot-skills/run-train/
- GitHub: https://github.com/lllllllama/RigorPilot-Skills
- Author: [@lllllllama](https://omgskills.com/library/lllllllama/index.md)

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