vertex-infra-expert

Execute use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", or "vector search terraform". Provisions Model Garden models, Gemini endpoints, vector search indices, ML pipelines, and production AI services with encryption and auto-scaling.

الانتقال إلى التثبيت

المستودع: jeremylongshore/claude-code-plugins-plus-skills
آخر نشاط في المصدر: ١٧ يوليو ٢٠٢٦ في ٢٢:١٨
لغة SKILL.md المكتشفة: الإنجليزية
النجوم: ٢٬٦٠٤
التفرعات: ٣٧٨

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.

npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill vertex-infra-expert

يبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.

تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

مستكشف الملفات

7 ملفات

SKILL.md

تعليمات المصدر · معاينة للقراءة فقط

العودة إلى البحث العودة إلى التثبيت

clerk-core-workflow-a

Implement user sign-up and sign-in flows with Clerk. Use when building authentication UI, customizing sign-in experience, or implementing OAuth social login. Trigger with phrases like "clerk sign-in", "clerk sign-up", "clerk login flow", "clerk OAuth", "clerk social login".

2026-07-23

clerk-core-workflow-b

Implement session management and middleware with Clerk. Use when managing user sessions, configuring route protection, or implementing token refresh and custom JWT templates. Trigger with phrases like "clerk session", "clerk middleware", "clerk route protection", "clerk token", "clerk JWT".

2026-07-23

clerk-enterprise-rbac

Configure enterprise SSO, role-based access control, and organization management. Use when implementing SSO integration, configuring role-based permissions, or setting up organization-level controls. Trigger with phrases like "clerk SSO", "clerk RBAC", "clerk enterprise", "clerk roles", "clerk permissions", "clerk organizations".

2026-07-23

عرض الكل من هذا المستودع

Vertex Infra Expert

Overview

Provision Vertex AI infrastructure with Terraform (endpoints, deployed models, vector search indices, pipelines) with production guardrails: encryption, autoscaling, IAM least privilege, and operational validation steps. Use this skill to generate a minimal working Terraform baseline and iterate toward enterprise-ready deployments.

Prerequisites

Before using this skill, ensure:

Google Cloud project with Vertex AI API enabled

Terraform 1.0+ installed

gcloud CLI authenticated with appropriate permissions

Understanding of Vertex AI services and ML models

KMS keys created for encryption (if required)

GCS buckets for model artifacts and embeddings

Instructions

Define AI Services: Identify required Vertex AI components (endpoints, vector search, pipelines)

Configure Terraform: Set up backend and define project variables

Provision Endpoints: Deploy Gemini or custom model endpoints with auto-scaling

Set Up Vector Search: Create indices for embeddings with appropriate dimensions

Configure Encryption: Apply KMS encryption to endpoints and data

Implement Monitoring: Set up Cloud Monitoring for model performance

Apply IAM Policies: Grant least privilege access to AI services

Validate Deployment: Test endpoints and verify model availability

Output

Configuration files or code changes applied to the project

Validation report confirming correct implementation

Summary of changes made and their rationale

See Terraform implementation details for output format specifications.

Error Handling

See ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.

Examples

See ${CLAUDE_SKILL_DIR}/references/examples.md for detailed examples.

Resources

name	vertex-infra-expert
description	Execute use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", or "vector search terraform". Provisions Model Garden models, Gemini endpoints, vector search indices, ML pipelines, and production AI services with encryption and auto-scaling.
allowed-tools	Read, Write, Edit, Grep, Glob, Bash(terraform:), Bash(gcloud:)
version	2.22.0
author	Jeremy Longshore <jeremy@intentsolutions.io>
license	MIT
tags	["devops","deployment","terraform","ml"]
compatibility

name	vertex-infra-expert
description	Execute use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", or "vector search terraform". Provisions Model Garden models, Gemini endpoints, vector search indices, ML pipelines, and production AI services with encryption and auto-scaling.
allowed-tools	Read, Write, Edit, Grep, Glob, Bash(terraform:), Bash(gcloud:)
version	2.22.0
author	Jeremy Longshore <jeremy@intentsolutions.io>
license	MIT
tags	["devops","deployment","terraform","ml"]
compatibility

vertex-infra-expert

معلومات المصدر

خيارات التثبيت

مراجعة ملفات المصدر

المزيد من هذا المستودع

المزيد من هذا المستودع