azure-personalizer
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when building, debugging, or optimizing Azure AI Personalizer applications. Not for Azure AI services (use azure-ai-services), Azure Machine Learning (use azure-machine-learning), Azure AI Search (use azure-cognitive-search), Azure AI Metrics Advisor (use azure-metrics-advisor).
From azurenpx claudepluginhub atc-net/atc-agentic-toolkitThis skill uses the workspace's default tool permissions.
Azure AI Personalizer Skill
This skill provides expert guidance for Azure AI Personalizer. Covers troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. It combines local quick-reference content with remote documentation fetching capabilities.
How to Use This Skill
IMPORTANT for Agent: This file may be large. Use the Category Index below to locate relevant sections, then use
read_filewith specific line ranges (e.g.,L136-L144) to read the sections needed for the user's question This skill requires network access to fetch documentation content. Usemcp_microsoftdocs:microsoft_docs_fetchto retrieve full articles.
- Fallback: Use the built-in
WebFetchtool if the Microsoft Learn MCP server is not available.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L34-L38 | Diagnosing and resolving common Azure Personalizer issues, including configuration, learning behavior, low-quality recommendations, API errors, and integration or data/feature problems. |
| Decision Making | L39-L43 | Guidance on when to use single-slot vs multi-slot Personalizer, comparing scenarios, behavior, and design tradeoffs for different personalization needs. |
| Limits & Quotas | L44-L48 | Guidance on scaling Personalizer for high-traffic workloads, capacity planning, throughput/latency expectations, and performance considerations under Azure limits and quotas. |
| Security | L49-L54 | Configuring encryption at rest (including customer-managed keys) and controlling data collection, storage, and privacy settings for Azure Personalizer. |
| Configuration | L55-L64 | Configuring Personalizer’s learning behavior: policies, hyperparameters, exploration, apprentice mode, explainability, model export, and learning loop settings. |
| Integrations & Coding Patterns | L65-L68 | Using the Personalizer local inference SDK for low-latency, offline/edge scenarios, including setup, integration patterns, and best practices for calling the model locally. |
Troubleshooting
| Topic | URL |
|---|---|
| Troubleshoot common Azure Personalizer issues | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/frequently-asked-questions |
Decision Making
| Topic | URL |
|---|---|
| Choose between single-slot and multi-slot Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concept-multi-slot-personalization |
Limits & Quotas
| Topic | URL |
|---|---|
| Plan scalability and performance for Personalizer workloads | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concepts-scalability-performance |
Security
| Topic | URL |
|---|---|
| Configure data-at-rest encryption and CMK for Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/encrypt-data-at-rest |
| Manage data usage and privacy in Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/responsible-data-and-privacy |
Configuration
| Topic | URL |
|---|---|
| Configure learning policy and hyperparameters in Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concept-active-learning |
| Configure exploration settings for Azure Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concepts-exploration |
| Enable and use inference explainability in Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-inference-explainability |
| Configure apprentice mode learning behavior in Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-learning-behavior |
| Export and manage Personalizer model and learning settings | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-manage-model |
| Configure Azure Personalizer learning loop settings | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-settings |
Integrations & Coding Patterns
| Topic | URL |
|---|---|
| Use Personalizer local inference SDK for low latency | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-thick-client |