run-train
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.
Install
With your agent
Install OMGSkills skill "lllllllama/rigorpilot-skills:run-train" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/lllllllama/RigorPilot-Skills /tmp/RigorPilot-Skills && ln -s /tmp/RigorPilot-Skills/skills/run-train ~/.claude/skills/run-trainFrom 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.
More from this repo
paper-context-resolver
Rigor Paper Context helper for README-first deep learning repo reproduction.
repo-intake-and-plan
Rigor Intake helper for README-first deep learning repo reproduction.
env-and-assets-bootstrap
Rigor Setup skill for README-first deep learning repo reproduction.