Agent skill · data analytics · jeremylongshore
model-drift-detector
Detect model drift detector operations. Auto-activating skill for ML
Why this skill is useful
Provides specific guidance and configurations for model drift detection that the AI wouldn't reliably generate on its own.
What it needs
About 1k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Model Drift Detector Overview 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. Instructions 1. Provides step-by-step guidance for model drift detector 2. Follows industry best practices and patterns 3. Generates production-ready code and configurations 4. Validates outputs against common standards Examples Example: Basic Usage Request: "Help me with model drift detector" Result: Provides step-by-step guidance and generates appropriate configurations Prerequisites Relevant development environment configured Access to necessary tools and services Basic understanding of ml deployment concepts Output Generated configurations and code Best practice recommendations Validation results Error Handling Error Cause Solution ------- ------- ---------- Configuration invalid Missing required fields Check documentation for required parameters Tool not found Dependency not installed Install required tools per prerequisites Permission denied Insufficient access Verify credentials and permissions Resources Official documentation for related tools Best practices guides Community examples and tutorials Related Skills Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/model-drift-detector