skill
Customize
نبذة
# Customize Model Deployment
Interactive guided workflow for deploying Azure OpenAI models with full customization control over version, SKU, capacity, content filtering, and advanced options.
## Quick Reference
| Property | Description | |----------|-------------| | **Flow** | Interactive step-by-step guided deployment | | **Customization** | Version, SKU, Capacity, RAI Policy, Advanced Options | | **SKU Support** | GlobalStandard, Standard, ProvisionedManaged, DataZoneStandard | | **Best For** | Precise control over deployment configuration | | **Authentication** | Azure CLI (`az login`) | | **Tools** | Azure CLI, MCP tools (optional) |
## When to Use This Skill
Use this skill when you need **precise control** over deployment configuration:
- ✅ **Choose specific model version** (not just latest) - ✅ **Select deployment SKU** (GlobalStandard vs Standard vs PTU) - ✅ **Set exact capacity** within available range - ✅ **Configure content filtering** (RAI policy selection) - ✅ **Enable advanced features** (dynamic quota, priority processing, spillover) - ✅ **PTU deployments** (Provisioned Throughput Units)
**Alternative:** Use `preset` for quick deployment to the best available region with automatic configuration.
### Comparison: customize vs preset
| Feature | customize | preset | |---------|---------------------|----------------------------| | **Focus** | Full customization control | Optimal region selection | | **Version Selection** | User chooses from available | Uses latest automatically | | **SKU Selection** | User chooses (GlobalStandard/Standard/PTU) | GlobalStandard only | | **Capacity** | User specifies exact value | Auto-calculated (50% of available) | | **RAI Policy** | User selects from options | Default policy only | | **Region** | Current region first, falls back to all regions if no capacity | Checks capacity across all regions upfront | | **Use Case** | Precise deployment requirements | Quick deployment to best region |
## Prerequisites
- Azure subscription with Cognitive Services Contributor or Owner role - Microsoft Foundry project resource ID (format: `/subscriptions/{sub}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project}`) - Azure CLI installed and authenticated (`az login`) - Optional: Set `PROJECT_RESOURCE_ID` environment variable
## Workflow Overview
### Complete Flow (14 Phases)
``` 1. Verify Authentication 2. Get Project Resource ID 3. Verify Project Exists 4. Get Model Name (if not provided) 5. List Model Versions → User Selects 6. List SKUs for Version → User Selects 7. Get Capacity Range → User Configures 7b. If no capacity: Cross-Region Fallback → Query all regions → User selects region/project 8. List RAI Policies → User Selects 9. Configure Advanced Options (if applicable) 10. Configure Version Upgrade Policy 11. Generate Deployment Name 12. Review Configuration 13. Execute Deployment & Monitor ```
### Fast Path (Defaults)
If user accepts all defaults (latest version, GlobalStandard SKU, recommended capacity, default RAI policy, standard upgrade policy), deployment completes in ~5 interactions.
---
## Phase Summaries
> ⚠️ **MUST READ:** Before executing any phase, load [references/customize-workflow.md](references/customize-workflow.md) for the full scripts and implementation details. The summaries below describe *what* each phase does — the reference file contains the *how* (CLI commands, quota patterns, capacity formulas, cross-region fallback logic).
| Phase | Action | Key Details | |-------|--------|-------------| | **1. Verify Auth** | Check `az account show`; prompt `az login` if needed | Verify correct subscription is active | | **2. Get Project ID** | Read `PROJECT_RESOURCE_ID` env var or prompt user | ARM resource ID format required | | **3. Verify Project** | Parse resource ID, call `az cognitiveservices account show` | Extracts subscription, RG, account, project, region | | **4. Get Model** | List models via `az cognitiveservices account list-models` | User selects from available or enters custom name | | **5. Select Version** | Query versions for chosen model | Recommend latest; user picks from list | | **6. Select SKU** | Query model catalog + subscription quota, show only deployable SKUs | ⚠️ Never hardcode SKU lists — always query live data | | **7. Configure Capacity** | Query capacity API, validate min/max/step, user enters value | Cross-region fallback if no capacity in current region | | **8. Select RAI Policy** | Present content filter options | Default: `Microsoft.DefaultV2` | | **9. Advanced Options** | Dynamic quota (GlobalStandard), priority processing (PTU), spillover | SKU-dependent availability | | **10. Upgrade Policy** | Choose: OnceNewDefaultVersionAvailable / OnceCurrentVersionExpired / NoAutoUpgrade | Default: auto-upgrade on new default | | **11. Deployment Name** | Auto-generate unique name, allow custom override | Validates format: `^[\w.-]{2,64}$` | | **12. Review** | Display
التثبيت
شغل هذا الأمر
git clone https://github.com/microsoft/azure-skills && cp -r azure-skills/skills/microsoft-foundry/models/deploy-model/customize ~/.claude/skills/يعمل مع
خطوات التثبيت
Clone the repository and copy the `skills/microsoft-foundry/models/deploy-model/customize` folder into your Claude skills directory. Compatible with Claude Code, Cursor, Codex, and any Agent Skills-compatible agent.
أسئلة شائعة
كيف أثبت Customize؟
شغل هذا الأمر في الطرفية:
git clone https://github.com/microsoft/azure-skills && cp -r azure-skills/skills/microsoft-foundry/models/deploy-model/customize ~/.claude/skills/مع أي أدوات ذكاء اصطناعي تعمل Customize؟
تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.
من طور Customize؟
طورها Microsoft، وتصدر بترخيص MIT.
هل Customize مجانية؟
نعم، يمكنك استخدامها مجانا وفق ترخيص MIT.
npx skills add google/agents-cli
npx skills add prisma/skills
npx skills add pbakaus/impeccable
npx skills add shadcn/ui
npx skills add scrapegraphai/just-scrape
npx skills add qu-skills/superpowers
افحص قبل التثبيت
شغل أي مصدر عبر فحوصاتنا - الظهور في الذكاء الاصطناعي والأمان والأداء واكتشاف التقنيات.
فحص أمني تلقائي للموقع
الأمان
محلل سرعة الصفحة
الأداء
اختبار جودة المحتوى العربي بالذكاء الاصطناعي
جودة المحتوى
مختبر وكلاء الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
كاشف منصة الموقع
الترحيل
تدقيق الظهور في محركات الذكاء الاصطناعي
الظهور في الذكاء الاصطناعي
مولد ملف llms.txt
الظهور في الذكاء الاصطناعي
مقياس سهولة القراءة بالعربية
جودة المحتوى
منشئ البيانات المنظمة
الظهور في الذكاء الاصطناعي
حاسبة تكاليف الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
محلل العناوين العربية
جودة المحتوى