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mlflow

27

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

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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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skilz install zechenzhangAGI/AI-research-SKILLs/mlflow
skilz install zechenzhangAGI/AI-research-SKILLs/mlflow --agent opencode
skilz install zechenzhangAGI/AI-research-SKILLs/mlflow --agent codex
skilz install zechenzhangAGI/AI-research-SKILLs/mlflow --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

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Download Agent Skill ZIP

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

1. Clone the repository:
git clone https://github.com/zechenzhangAGI/AI-research-SKILLs
2. Copy the agent skill directory:
cp -r AI-research-SKILLs/13-mlops/mlflow ~/.claude/skills/
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Need detailed installation help? Check our platform-specific guides:

Claude Desktop Guide Claude Code Guide Troubleshooting

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Agentic Skill Details

Owner
zechenzhangAGI (GitHub)
Repository
AI-research-SKILLs
Type
Non-Technical
Meta-Domain
general
Primary Domain
general
Sub-Domain
machine learning models model
Market Score
27
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