/training

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).

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primeintellect-ai@primeintellect-ai

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prime-rl

2.1k9 skills

Install

$ npx -y skills add primeintellect-ai/prime-rl --skill training --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/training

Context preview

The summary Claude sees to decide when to auto-load this skill.

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).

SKILL.md

training.SKILL.md

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).

Training

Two phases — start the run, then watch it.

**Start a run** — see `start-run/SKILL.md` for the `rl`, `sft`, and `inference` entrypoints and how to launch them (single-node, SLURM, dry-run).
**Monitor a run** — see `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. Standalone evals (`uv run eval`) are the `eval` skill; online evals of a training run are configured in `start-run` and read in `monitor-run`.

Read it on GitHub ↗

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Agentic RL Training at Scale

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