mlops-basics
Master MLOps fundamentals - lifecycle, principles, tools, practices, and organizational adoption
npx skills add majiayu000/claude-skill-registry --skill mlops-basics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# MLOps Basics Skill > **Learn**: Master the foundations of Machine Learning Operations for production ML systems. ## Skill Overview | Attribute | Value | |-----------|-------| | **Bonded Agent** | 01-mlops-fundamentals | | **Difficulty** | Beginner to Intermediate | | **Duration** | 40 hours | | **Prerequisites** | Basic ML concepts, Git | --- ## Learning Objectives After completing this skill, you will be able to: 1. **Explain** the complete ML lifecycle from data to production 2. **Assess** organizational MLOps maturity levels (0-4) 3. **Compare** and select appropriate MLOps tools 4. **Design** basic ML pipelines following best practices 5. **Implement** foundational MLOps practices in your team --- ## Topics Covered ### Module 1: ML Lifecycle Fundamentals (8 hours) ``` ┌─────────────────────────────────────────────────────────────────┐ │ ML LIFECYCLE PHASES │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Data │──▶│ Model │──▶│ Deploy │──▶│ Monitor │ │ │ │Collection│ │ Training │ │ │ │ │ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ │ │ │ │ │ └──────────── Feedback Loop ◀──────────
- Skill Overview
- Learning Objectives
- Topics Covered
- Module 1: ML Lifecycle Fundamentals (8 hours)
- Module 2: MLOps Principles (8 hours)
- Module 3: Tool Ecosystem (12 hours)
- Module 4: Best Practices & Patterns (12 hours)
- Code Templates
- Template 1: MLflow Experiment Setup
- Template 2: MLOps Maturity Assessment
- Troubleshooting Guide
- Common Issues
- Debug Checklist
- Knowledge Check
What does the mlops-basics skill do?
Master MLOps fundamentals - lifecycle, principles, tools, practices, and organizational adoption
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill mlops-basics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.