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.md
source 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