mcpField
A
azure-personalizer

azure-personalizer

github.com/microsoftdocsDevelopment796162 installsUpdated 3d ago
Repository

About azure-personalizer

azure-personalizer is a reference skill for agents working with Azure AI Personalizer. It combines local quick references and remote documentation on decision-making, configuration, security, troubleshooting, and local inference integration.

Key features

  1. 01Personalizer troubleshooting
  2. 02Single-slot and multi-slot choices
  3. 03Encryption and privacy settings
  4. 04Learning behavior and model configuration
  5. 05Local inference SDK integration

Use cases

  1. 01Diagnose API or model-training issues
  2. 02Choose a single-slot or multi-slot approach
  3. 03Configure learning behavior and explainability
  4. 04Build low-latency offline inference flows

MCP support

The skill can retrieve remote documentation through mcp_microsoftdocs's microsoft_docs_fetch, with fetch_webpage as a fallback.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/microsoftdocs/agent-skills --skill azure-personalizer

After installing, type/azure-personalizerin Claude Code to confirm it loaded.

Details

From the project README

Azure AI Personalizer Skill

This skill provides expert guidance for Azure AI Personalizer. Covers troubleshooting, decision making, 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: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g., L35-L120), use read_file with the specified lines. For categories with file links (e.g., [security.md](security.md)), use read_file on the linked reference file

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

  • Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
  • Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

CategoryLinesDescription
TroubleshootingL33-L37Diagnosing and fixing common Azure Personalizer issues: API errors, event/Reward calls, model training problems, configuration mistakes, and steps to validate and debug your setup.
Decision MakingL38-L42Guidance on when to use single-slot vs multi-slot Personalizer, comparing scenarios, behavior, and design tradeoffs for different personalization needs.
SecurityL43-L48Configuring encryption at rest (including customer-managed keys) and controlling data collection, storage, and privacy settings for Azure Personalizer.
ConfigurationL49-L55Configuring Personalizer’s learning behavior: policies, hyperparameters, exploration, apprentice mode, explainability, model export, and learning loop settings.
Integrations & Coding PatternsL56-L59Using the Personalizer local inference SDK for low-latency, offline/edge scenarios, including setup, integration patterns, and best practices for calling the model locally.
Troubleshooting
TopicURL
Troubleshoot common issues in Azure Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/frequently-asked-questions
Decision Making
TopicURL
Choose between single-slot and multi-slot Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/concept-multi-slot-personalization
Security
TopicURL
Configure data-at-rest encryption and CMK for Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/encrypt-data-at-rest
Manage data usage and privacy in Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/responsible-data-and-privacy
Configuration
TopicURL
Enable and use inference explainability in Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-inference-explainability
Configure apprentice mode learning behavior in Personalizerhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-learning-behavior
Configure Azure Personalizer learning loop settingshttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-settings
Integrations & Coding Patterns
TopicURL
Use Personalizer local inference SDK for low latencyhttps://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-thick-client

Comments

Markdown supported