mlops-basics
CommunityMaster MLOps basics from lifecycle to tooling.
Authorpluginagentmarketplace
Version1.0.0
Installs0
System Documentation
What problem does it solve?
MLOps fundamentals are often fragmented across teams, leading to inconsistent practices, duplicated effort, and brittle deployments. This skill provides a structured, platform-agnostic foundation to teach and adopt ML lifecycle concepts, governance, and tooling.
Core Features & Use Cases
- Comprehensive coverage of ML lifecycle phases, tooling principles, and organizational adoption strategies.
- Real-world scenarios for building repeatable ML pipelines, deployment patterns, and monitoring practices.
- Use Case: A data science team adopts MLOps foundations to align model development, testing, deployment, and governance across teams.
Quick Start
Run the skill with a task prompt like: mlops-basics - summarize the MLOps lifecycle and recommended tooling. You can also follow the modules and exercises in the skill materials to begin.
Dependency Matrix
Required Modules
pyyaml
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mlops-basics Download link: https://github.com/pluginagentmarketplace/custom-plugin-mlops/archive/main.zip#mlops-basics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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