Claude-code-plugins-plus-skills model-registry-manager
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/planned-skills/generated/08-ml-deployment/model-registry-manager" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-model-registry-manager && rm -rf "$T"
manifest:
planned-skills/generated/08-ml-deployment/model-registry-manager/SKILL.mdsource content
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