vertex-ai-endpoint-config

Vertex Ai Endpoint Config - Auto-activating skill for GCP Skills. Triggers on: vertex ai endpoint config, vertex ai endpoint config Part of the GCP Skills skill category.

1.03x

Quality

Does it follow best practices?

Impact

99%

1.03x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/14-gcp-skills/vertex-ai-endpoint-config/SKILL.md

Evaluation results

100%

Deploy a Custom ML Model to Vertex AI

gcloud-based model deployment

Criteria

Without context

With context

Uses gcloud for model upload

100%

Uses gcloud for endpoint creation

100%

Uses gcloud for model deployment

100%

No Python SDK usage

100%

Correct project and region flags

100%

Machine type specified

100%

Minimum replica count set

100%

Artifact URI referenced

100%

Step-by-step guide produced

100%

Prerequisites documented

100%

Without context: $0.2613 · 1m 27s · 11 turns · 12 in / 5,004 out tokens

With context: $0.4674 · 1m 59s · 25 turns · 24 in / 6,782 out tokens

100%

Configure A/B Traffic Splitting on a Vertex AI Endpoint

endpoint traffic management

Criteria

Without context

With context

Uses gcloud for traffic update

100%

No Python SDK usage

100%

Traffic split flag used

100%

Traffic percentages sum to 100

100%

Conservative v2 allocation

100%

Correct endpoint and project flags

100%

Verification step included

100%

Rollout strategy explained

100%

Step-by-step structure

100%

Without context: $0.1711 · 52s · 12 turns · 13 in / 2,817 out tokens

With context: $0.3626 · 1m 30s · 23 turns · 178 in / 4,401 out tokens

97%

Set Up a Scalable Vertex AI Endpoint for a High-Traffic NLP Service

production endpoint scaling configuration

Criteria

Without context

With context

Uses gcloud for endpoint creation

100%

Uses gcloud for model deployment

100%

No Python SDK usage

100%

Machine type specified

100%

Minimum replica count set

70%

Maximum replica count set

100%

Model resource name referenced

100%

Endpoint display name set

100%

Validation checklist uses gcloud

100%

Checklist has multiple checks

100%

Without context: $0.3080 · 1m 12s · 17 turns · 18 in / 4,227 out tokens

With context: $0.3446 · 1m 31s · 21 turns · 19 in / 5,524 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 0c08951

Evaluated: 18 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Deploy a Custom ML Model to Vertex AI Configure A/B Traffic Splitting on a Vertex AI Endpoint Set Up a Scalable Vertex AI Endpoint for a High-Traffic NLP Service

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