model-versioning-manager

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

0.96x

Quality

Does it follow best practices?

Impact

86%

0.96x

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-versioning-manager/SKILL.md

Evaluation results

82%

-15%

Internal ML Model Registry

MLOps pipeline setup

Criteria

Without context

With context

Step-by-step README

87%

Version numbering scheme

100%

Metadata storage

100%

Artifact integrity

100%

Multiple versions supported

100%

Production-ready error handling

75%

100%

CLI or programmatic interface

100%

Demo runs successfully

100%

Persistence across calls

100%

Output validation in demo

100%

30%

MLOps directory structure

100%

Without context: $0.6660 · 2m 48s · 33 turns · 33 in / 10,097 out tokens

With context: $0.8184 · 3m 5s · 38 turns · 39 in / 11,347 out tokens

78%

Deploying a Sentiment Model with Production Monitoring

Model serving and monitoring

Criteria

Without context

With context

Batch serving script

100%

Prediction distribution metric

100%

Drift indicator present

100%

Threshold-based alert

90%

100%

Production-ready error handling

12%

25%

Monitoring report is valid JSON

40%

70%

Deployment plan structure

100%

Step-by-step deployment guidance

100%

62%

Confidence tracking

100%

Model metadata referenced

100%

Output validation

Without context: $0.5646 · 2m 42s · 26 turns · 23 in / 9,739 out tokens

With context: $0.8866 · 3m 46s · 40 turns · 37 in / 12,090 out tokens

98%

Model Performance Regression Investigation

Version comparison and rollback

Criteria

Without context

With context

Per-version metrics

100%

Positive rate comparison

100%

Structured recommendation

100%

Rollback steps logged

100%

Registry state updated

100%

Production-ready validation

77%

88%

Step-by-step rollback guidance

100%

Regression prevention recommendations

100%

Reproducible comparison script

100%

Output format validated

77%

88%

Production optimization insight

100%

Without context: $1.2954 · 5m 23s · 45 turns · 45 in / 21,721 out tokens

With context: $1.4763 · 5m 12s · 55 turns · 313 in / 19,488 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 0ad6004

Evaluated: 14 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Internal ML Model Registry Deploying a Sentiment Model with Production Monitoring Model Performance Regression Investigation

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