training-guide

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

1. Training status — Whether training completed successfully
2. Algorithm used — Which algorithm and backend were used
3. Checkpoint location — Where the trained model was saved
4. 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().