vertex-ai-deployer

Vertex Ai Deployer - Auto-activating skill for ML Deployment. Triggers on: vertex ai deployer, vertex ai deployer Part of the ML Deployment skill category.

0.98x

Quality

Does it follow best practices?

Impact

96%

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/vertex-ai-deployer/SKILL.md

Evaluation results

97%

-3%

Production Deployment for Demand Forecasting Model

Vertex AI endpoint deployment

Criteria

Without context

With context

Vertex AI SDK import

100%

SDK initialization

100%

Model registry upload

100%

Endpoint creation

100%

Model deploy call

100%

Machine type specified

100%

Autoscaling configured

100%

Endpoint name printed

100%

requirements.txt present

100%

GCS artifact path used

100%

70%

100%

Automated Model Retraining and Deployment Pipeline

MLOps automated retraining pipeline

Criteria

Without context

With context

Vertex AI Pipelines SDK

100%

Pipeline submit via Vertex AI

100%

aiplatform.init called

100%

Separate training component

100%

Separate evaluation component

100%

Conditional deployment

100%

Pipeline compiled to YAML

100%

GCS artifact path used

100%

requirements.txt present

100%

Project and region set

100%

92%

Production Model Health Monitoring

Model monitoring and drift detection

Criteria

Without context

With context

Vertex AI monitoring API

100%

aiplatform.init called

100%

Endpoint reference

100%

Feature skew detection

100%

Prediction drift detection

20%

Drift threshold set

100%

Alert email configured

100%

Monitoring schedule

100%

Feature list included

100%

requirements.txt present

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

Production Deployment for Demand Forecasting Model Automated Model Retraining and Deployment Pipeline Production Model Health Monitoring

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