// Launch and monitor prime-rl training runs. Use when starting, supervising, or debugging an RL/SFT run. Routes to `start-run` (entrypoints + how to launch) and `monitor-run` (logs, metrics, check-ins).
| name | training |
| description | Launch and monitor prime-rl training runs. Use when starting, supervising, or debugging an RL/SFT run. Routes to `start-run` (entrypoints + how to launch) and `monitor-run` (logs, metrics, check-ins). |
Two phases — start the run, then watch it.
start-run/SKILL.md for the rl, sft, and inference entrypoints and how to launch them (single-node, SLURM, dry-run).monitor-run/SKILL.md for the runbook: how to find the output dir, what to tail, which metrics to watch, and how to restart safely.Both subskills assume the configs skill for config-loading mechanics.
How the prime-rl config system works — TOML files, CLI overrides, composition, and special patterns. Use when creating configs, debugging config errors, or overriding values via CLI.
How to prepare and publish GitHub releases for prime-rl. Use when drafting release notes, tagging versions, or publishing releases.
How to install prime-rl and its optional dependencies. Use when setting up the project, installing extras like deep-gemm for FP8 models, or troubleshooting dependency issues.
Monitor an ongoing prime-rl training run — find the output directory, tail logs, check key metrics, inspect SLURM jobs, and restart safely. Use when asked to check on a run, debug training, or investigate performance.
How to launch prime-rl training runs — the `rl`, `sft`, and `inference` entrypoints, their config classes, and single-node/SLURM/dry-run modes. Use when starting a run or picking the right entrypoint.