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grpo-rlvr-training

Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward…

  • Skills
  • General
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What it does and how to use it

A skill that teaches Claude Code to do general tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/wshobson-agents__grpo-rlvr-training && curl -fsSL https://doutorai.pt/data/lib/skills__wshobson-agents__grpo-rlvr-training.md -o .claude/skills/wshobson-agents__grpo-rlvr-training/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: grpo-rlvr-training
description: Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.
---

# GRPO & RLVR Training

This skill assumes `finetuning-method-selection`
already routed here because the target behavior
has a verifiable pass/fail signal - not
demonstrations (`lora-qlora-recipes`) or
preference pairs (`preference-optimization`).
What follows

- 🔒 Full content on the Pro plan (€7.99/month) -

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