القائمة
Use when the user wants to run a training job using a saved configuration. For algorithm selection, hyperparameter advice, or troubleshooting, use the training-hub-guide skill instead.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Guides users through LLM post-training with Training Hub, including installation, algorithm selection (SFT, OSFT, LoRA), hyperparameter tuning, troubleshooting OOM errors, interpreting loss curves, and leveraging backend-specific features. Use when the user is working with training_hub, fine-tuning language models, asking about SFT/OSFT/LoRA training, or debugging GPU/CUDA training issues.
Use when the user wants to estimate GPU memory (VRAM) requirements for a training configuration, check if a model will fit on their GPUs, or plan GPU allocation for training.
Use when the user wants to set up LLM training for the first time, or when training_hub is not yet installed/configured in the current environment.
| name | training-guide |
| description | Use when the user wants to run a training job using a saved configuration. For algorithm selection, hyperparameter advice, or troubleshooting, use the training-hub-guide skill instead. |
| allowed-tools | ["Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_train.sh:*)","Bash(${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh:*)"] |
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().