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From training-hub
Runs LLM training jobs from saved configurations with environment detection and result reporting.
How this skill is triggered — by the user, by Claude, or both
Slash command
/training-hub:training-guideThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Execute LLM training using a saved configuration.
Execute LLM training using a saved configuration.
"${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh"
library=missing or config=missing: invoke the setup-guide skill.gpu=unavailable: warn that training requires CUDA-capable GPUs.library=installed, config=found)Proceed to Step 2.
Run the training script with any user-provided overrides:
"${CLAUDE_PLUGIN_ROOT}/scripts/th_train.sh" $ARGUMENTS
If training failed, consult the training-hub-guide skill for troubleshooting (OOM, loss interpretation, backend-specific issues).
Remind the user they can visualize training loss with training_hub.plot_loss().
npx claudepluginhub red-hat-ai-innovation-team/training_hub --plugin training-hubGuides users through setting up LLM training with training_hub: environment detection, installation, GPU checks, and configuration.
Trains or fine-tunes language/vision models using TRL or Unsloth on Hugging Face Jobs cloud GPUs. Supports SFT, DPO, GRPO, reward modeling, and GGUF export for local deployment.
Train or fine-tune TRL language models on Hugging Face Jobs using SFT, DPO, GRPO, Reward Modeling, with GGUF export for local deployment.