FreePublished on GitHub

azure-personalizer

Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns. Use when choosing single vs multi-slot setups, tuning policies/exploration, using apprentice mode, explainability, or local inference, and other Azure AI Personalizer related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure Machine Learning (use azure-machine-learning), Azure AI Metrics Advisor (use azure-metrics-advisor), Azure AI Anomaly Detector (use azure-anomaly-detector).

The English summary is being prepared. Showing the original description.

MicrosoftDocs/Agent-Skills

Works withAzure

See how to install

Files included (1)

SKILL.md4.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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

Category	Lines	Description
Troubleshooting	L33-L37	Diagnosing 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 Making	L38-L42	Guidance on when to use single-slot vs multi-slot Personalizer, comparing scenarios, behavior, and design tradeoffs for different personalization needs.
Security	L43-L48	Configuring encryption at rest (including customer-managed keys) and controlling data collection, storage, and privacy settings for Azure Personalizer.
Configuration	L49-L55	Configuring Personalizer’s learning behavior: policies, hyperparameters, exploration, apprentice mode, explainability, model export, and learning loop settings.
Integrations & Coding Patterns	L56-L59	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 issues in Azure Personalizer	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

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
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
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

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Install

Install with a command

npx skills add https://github.com/MicrosoftDocs/Agent-Skills --skill azure-personalizer

Paste it into your terminal and run it (requires Node.js). You can choose which agents to install it for, such as Claude Code or Codex.

Ask your agent

Please install the following Agent Skill.
https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-personalizer

First review SKILL.md and the bundled files and confirm there is nothing suspicious (such as sending data externally or reading credentials). Then place it in ~/.claude/skills/azure-personalizer/ for Claude Code, or ~/.agents/skills/azure-personalizer/ for Codex.

Send this text to Claude Code or Codex as is. It checks the contents before installing.

View source on GitHub

Repository: MicrosoftDocs/Agent-Skills
Stars: 786
Forks: 128
Category: DevOps
License: CC-BY-4.0
Original language: English
Last updated: Oct 18, 2026

A skill is a set of instructions and scripts for an agent. cccskills does not guarantee that skills are safe. Review the contents before you install.