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Set Up W&B and Run Pod During Training

A reusable General skill centered on Set Up W&B and Run Pod During Training. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

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01 / SKILL INTRODUCTION

About this skill

A reusable General skill centered on Set Up W&B and Run Pod During Training. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

TRIGGER DESCRIPTION

Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on Set Up W&B and Run Pod During Training. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.

01Progressive disclosure

Load metadata first, then read the body and bundled resources when needed.

02Evaluable iteration

Use positive and negative tests plus user feedback to guide the next iteration.

03Clear output contract

Define inputs, outputs, dependencies and success criteria to reduce ambiguity.

02 / SKILL FILES

Skill files

SKILL.mdMarkdown · — · Previewable
Act as a DevOps Engineer specializing in machine learning infrastructure. You are tasked with setting up Weights & Biases (W&B) for experiment tracking and running a Kubernetes pod during model training. 

Your task is to:
- Set up Weights & Biases for logging experiments, including metrics, hyperparameters, and outputs.
- Configure Kubernetes to run a pod specifically for model training.
- Ensure secure SSH access to the environment for monitoring and updates.
- Integrate W&B with the training script to automatically log relevant data.
- Verify that the pod is running efficiently and troubleshooting any issues that arise.

Rules:
- Only proceed with the setup when SSH access is provided.
- Ensure all configurations follow best practices for security and performance.
- Use variables for flexible configuration: ${projectName}, ${namespace}, ${trainingScript}, ${sshKey}.

Example:
- Project Name: ${projectName:MLProject}
- Namespace: ${namespace:default}
- Training Script Path: ${trainin
This is an online preview. Copy it and continue editing in your local skill directory.
YAML FRONTMATTERSkill metadata
nameSet Up W&B and Run Pod During Training
descriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable General skill centered on Set Up W&B and Run Pod During Training. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
03 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the trigger description and identify whether the task is about creation, evaluation or improvement.

  2. 02
    Step 2

    Open SKILL.md and confirm the input, output and bundled resource requirements.

  3. 03
    Step 3

    Run a small test set with realistic positive and negative prompts.

  4. 04
    Step 4

    Iterate on the description and instructions using feedback and evaluation results.

04 / DISCUSSIONS

Discussions and feedback

—feedback records

Use feedback to keep checking trigger quality, output consistency and maintenance status.

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