model-registry-manager

Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category.

0.98x

Quality

Does it follow best practices?

Impact

92%

0.98x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/model-registry-manager/SKILL.md

Evaluation results

96%

-1%

Setting Up a Model Registry for a Data Science Team

Model registration workflow

Criteria

Without context

With context

Setup guide present

100%

Setup guide completeness

100%

Model registry used

100%

Stage transitions

100%

Model metadata tagging

100%

Error handling

62%

50%

Logging present

100%

Validation script present

100%

Validation checks metadata

100%

Inline comments

100%

Rollback capability

100%

Open-source dependencies only

100%

88%

Deploying a Fraud Detection Model for Production Inference

Production model serving configuration

Criteria

Without context

With context

Config externalized

100%

No hardcoded paths

100%

Health check present

100%

Health check validates prediction

100%

Error handling in serve

50%

Deployment guide present

100%

Deployment guide covers verification

100%

Performance config present

100%

Logging in serve script

100%

Model loading abstracted

100%

Dependencies specified

Scripts are runnable

100%

92%

-6%

Production Model Monitoring for a Customer Churn Predictor

MLOps monitoring pipeline

Criteria

Without context

With context

Drift detection present

100%

Performance monitoring present

100%

Threshold-based alerting

100%

Config externalized

100%

Alert handler present

100%

Validation script present

100%

Monitoring guide present

100%

Guide covers reference update

100%

Error handling

100%

16%

Logging present

66%

50%

Scheduled job guidance

100%

Synthetic data for demo

100%

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 87f14eb

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Setting Up a Model Registry for a Data Science Team Deploying a Fraud Detection Model for Production Inference Production Model Monitoring for a Customer Churn Predictor

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