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model-registry-manager
Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category.
allowed_tools: Read, Write, Edit, Bash, Grep
$ Instalar
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills /tmp/claude-code-plugins-plus-skills && cp -r /tmp/claude-code-plugins-plus-skills/planned-skills/generated/08-ml-deployment/model-registry-manager ~/.claude/skills/claude-code-plugins-plus-skills// tip: Run this command in your terminal to install the skill
SKILL.md
name: model-registry-manager description: | Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category. allowed-tools: Read, Write, Edit, Bash, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Model Registry Manager
Purpose
This skill provides automated assistance for model registry manager tasks within the ML Deployment domain.
When to Use
This skill activates automatically when you:
- Mention "model registry manager" in your request
- Ask about model registry manager patterns or best practices
- Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.
Capabilities
- Provides step-by-step guidance for model registry manager
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with model registry manager"
- "Set up model registry manager"
- "How do I implement model registry manager?"
Related Skills
Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production
Repository

jeremylongshore
Author
jeremylongshore/claude-code-plugins-plus-skills/planned-skills/generated/08-ml-deployment/model-registry-manager
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Updated5d ago
Added6d ago