| 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:*)"] |
Run Training
Execute LLM training using a saved configuration.
Step 1: Check Environment
"${CLAUDE_PLUGIN_ROOT}/scripts/th_detect.sh"
If not ready
library=missing or config=missing: invoke the setup-guide skill.gpu=unavailable: warn that training requires CUDA-capable GPUs.
If ready (library=installed, config=found)
Proceed to Step 2.
Step 2: Execute Training
Run the training script with any user-provided overrides:
"${CLAUDE_PLUGIN_ROOT}/scripts/th_train.sh" $ARGUMENTS
Step 3: Present Results
- Training status — Whether training completed successfully
- Algorithm used — Which algorithm and backend were used
- Checkpoint location — Where the trained model was saved
- Loss summary — If available, show final loss values
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().
