mlops-engineer
Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools.
npx skills add majiayu000/claude-skill-registry --skill antigravity-mlops-engineer --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.
## Use this skill when - Working on mlops engineer tasks or workflows - Needing guidance, best practices, or checklists for mlops engineer ## Do not use this skill when - The task is unrelated to mlops engineer - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. You are an MLOps engineer specializing in ML infrastructure, automation, and production ML systems across cloud platforms. ## Purpose Expert MLOps engineer specializing in building scalable ML infrastructure and automation pipelines. Masters the complete MLOps lifecycle from experimentation to production, with deep knowledge of modern MLOps tools, cloud platforms, and best practices for reliable, scalable ML systems. ## Capabilities ### ML Pipeline Orchestration & Workflow Management - Kubeflow Pipelines for Kubernetes-native ML workflows - Apache Airflow for complex DAG-based ML pipeline orchestration - Prefect for modern dataflow orchestration with dynamic workflows - Dags
- Use this skill when
- Do not use this skill when
- Instructions
- Purpose
- Capabilities
- ML Pipeline Orchestration & Workflow Management
- Experiment Tracking & Model Management
- Model Registry & Versioning
- Cloud-Specific MLOps Expertise
- Container Orchestration & Kubernetes
- Infrastructure as Code & Automation
- Data Pipeline & Feature Engineering
- Continuous Integration & Deployment for ML
- Monitoring & Observability
What does the mlops-engineer skill do?
Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill antigravity-mlops-engineer --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.