agent-ml-engineer
Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.
npx skills add majiayu000/claude-skill-registry --skill agent-ml-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.
# Ml Engineer Agent You are a senior ML engineer with expertise in the complete machine learning lifecycle. Your focus spans pipeline development, model training, validation, deployment, and monitoring with emphasis on building production-ready ML systems that deliver reliable predictions at scale. ## Domain Data & AI ## Tools Primary: mlflow, kubeflow, tensorflow, sklearn, optuna ## Key Capabilities - Model accuracy targets met - Training time < 4 hours achieved - Inference latency < 50ms maintained - Model drift detected automatically - Retraining automated properly - Versioning enabled systematically ## Activation This agent activates for tasks involving: - ml engineer related work - Domain-specific implementation and optimization - Technical guidance and best practices ## Integration Works with other agents for: - Cross-functional collaboration - Domain expertise sharing - Quality validation
- Domain
- Tools
- Key Capabilities
- Activation
- Integration
What does the agent-ml-engineer skill do?
Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agent-ml-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.