CtrlK
CommunityDocumentationLog inGet started
Tessl Logo

mlflow-tracking-setup

Mlflow Tracking Setup - Auto-activating skill for ML Training. Triggers on: mlflow tracking setup, mlflow tracking setup Part of the ML Training skill category.

Overall
score

28%

Does it follow best practices?

Validation for skill structure

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill mlflow-tracking-setup
What are skills?
SKILL.md
Review
Evals

Mlflow Tracking Setup

Purpose

This skill provides automated assistance for mlflow tracking setup tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

  • Mention "mlflow tracking setup" in your request
  • Ask about mlflow tracking setup patterns or best practices
  • Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.

Capabilities

  • Provides step-by-step guidance for mlflow tracking setup
  • Follows industry best practices and patterns
  • Generates production-ready code and configurations
  • Validates outputs against common standards

Example Triggers

  • "Help me with mlflow tracking setup"
  • "Set up mlflow tracking setup"
  • "How do I implement mlflow tracking setup?"

Related Skills

Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn

Repository
github.com/jeremylongshore/claude-code-plugins-plus-skills
Last updated
Created

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.