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Skillzwave

deploying-machine-learning-models

17.1

This skill enables Claude to deploy machine learning models to production environments. It automates the deployment workflow, implements best practices for serving models, optimizes performance, and handles potential errors. Use this skill when the user requests to deploy a model, serve a model via an API, or put a trained model into a production environment. The skill is triggered by requests containing terms like "deploy model," "productionize model," "serve model," or "model deployment."

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Also in: github

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 jeremylongshore/claude-code-plugins-nixtla/deploying-machine-learning-models
skilz install jeremylongshore/claude-code-plugins-nixtla/deploying-machine-learning-models --agent opencode
skilz install jeremylongshore/claude-code-plugins-nixtla/deploying-machine-learning-models --agent codex
skilz install jeremylongshore/claude-code-plugins-nixtla/deploying-machine-learning-models --agent gemini

First time? Install Skilz: pip install skilz

Works with 14 AI coding assistants

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

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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/jeremylongshore/claude-code-plugins-nixtla
2. Copy the agent skill directory:
cp -r claude-code-plugins-nixtla/archive/backups-20251108/skill-structure-cleanup-20251108-073936/plugins/ai-ml/model-deployment-helper/skills/model-deployment-helper ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Type
Technical
Meta-Domain
web api
Primary Domain
api
Market Score
17.1

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