setting-up-experiment-tracking

827 stars 94 forks

Implement machine learning experiment tracking using MLflow or Weights & Biases. Configures environment and provides code for logging parameters, metrics, and artifacts. Use when asked to "setup experiment tracking" or "initialize MLflow". Trigger with relevant phrases based on skill purpose.

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Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

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Claude Code (CLI) Fast

skilz install jeremylongshore/claude-code-plugins-plus-skills/setting-up-experiment-tracking

OpenCode (CLI) Fast

skilz install jeremylongshore/claude-code-plugins-plus-skills/setting-up-experiment-tracking --agent opencode

OpenAI Codex (CLI) Native

skilz install jeremylongshore/claude-code-plugins-plus-skills/setting-up-experiment-tracking --agent codex

Gemini CLI (Project) Project

skilz install jeremylongshore/claude-code-plugins-plus-skills/setting-up-experiment-tracking --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

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For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills

2. Copy the agent skill directory:

cp -r claude-code-plugins-plus-skills/plugins/ai-ml/experiment-tracking-setup/skills/setting-up-experiment-tracking ~/.claude/skills/

Owner: jeremylongshore (GitHub)
Repository: claude-code-plugins-plus-skills
Stars: 827
Forks: 94
Type: Technical
Meta-Domain: media
Primary Domain: monitoring
Market Score: 48

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