Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/agent-ml-engineer
SKILL.md
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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Didn't find tool you were looking for?