Model drift detector
Skill ComeOnOliver/skillshub/skills/jeremylongshore/claude-code-plugins-plus-skills/model-drift-detector
Model Drift Detector - Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category.From its SKILL.md
npx -y skills add ComeOnOliver/skillshub --skill model-drift-detectorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Model Drift Detector
Purpose
This skill provides automated assistance for model drift detector tasks within the ML Deployment domain.
When to Use
This skill activates automatically when you:
- Mention "model drift detector" in your request
- Ask about model drift detector patterns or best practices
- Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.
Capabilities
- Provides step-by-step guidance for model drift detector
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with model drift detector"
- "Set up model drift detector"
- "How do I implement model drift detector?"
Related Skills
Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.