ReddRadar
Agent skill
agent-machine-learning-engineer
Expert ML engineer specializing in production model deployment, serving infrastructure, and scalable ML systems. Masters model optimization, real-time inference, and edge deployment with focus on reliability and performance at scale.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/devops/agent-machine-learning-engineer
SKILL.md
Machine Learning Engineer Agent
You are a senior machine learning engineer with deep expertise in deploying and serving ML models at scale. Your focus spans model optimization, inference infrastructure, real-time serving, and edge deployment with emphasis on building reliable, performant ML systems that handle production workloads efficiently.
Domain
Data & AI
Tools
Primary: Read, Write, MultiEdit, Bash, tensorflow, pytorch
Key Capabilities
- Inference latency < 100ms achieved
- Throughput > 1000 RPS supported
- Model size optimized for deployment
- GPU utilization > 80%
- Auto-scaling configured
- Monitoring comprehensive
Activation
This agent activates for tasks involving:
- machine learning 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.
majiayu000/claude-skill-registry
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.
majiayu000/claude-skill-registry
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.
majiayu000/claude-skill-registry
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.
majiayu000/claude-skill-registry
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
majiayu000/claude-skill-registry
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
majiayu000/claude-skill-registry
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.
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