Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-personalizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/azure-personalizer .claude/skills/azure-personalizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "azure-personalizer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-personalizer into .claude/skills/azure-personalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-personalizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-personalizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-personalizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/azure-personalizer .agents/skills/azure-personalizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "azure-personalizer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-personalizer into .agents/skills/azure-personalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-personalizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-personalizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/azure-personalizer .cursor/skills/azure-personalizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "azure-personalizer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-personalizer into .cursor/skills/azure-personalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-personalizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MicrosoftDocs/Agent-Skills.git --path skills/azure-personalizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-personalizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/azure-personalizer .gemini/skills/azure-personalizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "azure-personalizer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-personalizer into .gemini/skills/azure-personalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-personalizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MicrosoftDocs/Agent-Skills azure-personalizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/azure-personalizer .github/skills/azure-personalizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "azure-personalizer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-personalizer into .github/skills/azure-personalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-personalizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MicrosoftDocs/Agent-Skills azure-personalizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MicrosoftDocs/Agent-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/azure-personalizer .opencode/skills/azure-personalizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "azure-personalizer" agent skill from https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/azure-personalizer into .opencode/skills/azure-personalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "azure-personalizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
azure-personalizerExpert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns.
Azure Personalizer is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. 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)…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires network access. Uses mcpmicrosoftdocs:microsoftdocsfetch or fetchwebpage to retrieve documentation.
It works with Microsoft Azure, Azure AI Search and Azure Machine Learning. The repository describes itself as: Curated Agent Skills for Microsoft & Azure – giving AI coding assistants structured, real-time expertise from Microsoft Learn docs. The licence is CC-BY-4.0.
Read from SKILL.md and the folder at commit ba74e8f. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
learn.microsoft.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
From compatibility in the SKILL.md frontmatter.
Azure Personalizer loads about 1.1k tokens when it runs. Until then it costs about 147 tokens; SKILL.md has 335 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from MicrosoftDocs/Agent-Skills at commit ba74e8f, republished under its CC-BY-4.0 licence (© MicrosoftDocs). 335 words, ~1,148 tokens.
.claude/skills/azure-personalizer/SKILL.md (or your agent's skills folder).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.
IMPORTANT for Agent: Use the Category Index below to locate relevant sections. For categories with line ranges (e.g.,
L35-L120), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.| 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. |
| Topic | URL |
|---|---|
| Troubleshoot common issues in Azure Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/frequently-asked-questions |
| Topic | URL |
|---|---|
| Choose between single-slot and multi-slot Personalizer | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/concept-multi-slot-personalization |
| 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 |
| 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 |
| Topic | URL |
|---|---|
| Use Personalizer local inference SDK for low latency | https://learn.microsoft.com/en-us/azure/ai-services/personalizer/how-to-thick-client |
© MicrosoftDocs, CC-BY-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/azure-personalizer of MicrosoftDocs/Agent-Skills.
Open the folder on GitHubat commit ba74e8f
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in MicrosoftDocs/Agent-Skills, which our catalogue first saw on October 7, 2026.
Azure Personalizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Azure Personalizer this skillMicrosoftDocs/Agent-Skills | 775 | 1 repos | ~1.1k | Automated safety check: Pass | CC-BY-4.0 | |
| Osmo Lerobot Trainingmicrosoft/physical-ai-toolchain | 122 | — | ~3.8k | Automated safety check: Notes | MIT | |
| Azureml K3s Compute Target Setupmicrosoft/physical-ai-toolchain | 122 | — | ~5.7k | Automated safety check: Notes | MIT | |
| Environment Deploymentmicrosoft/physical-ai-toolchain | 122 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Azure AI ML Pymicrosoft/skills | 3.1k | 6 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Azure Search Documents Dotnetmicrosoft/skills | 3.1k | 6 repos | ~2.6k | Automated safety check: Pass | MIT |
microsoft/physical-ai-toolchain
Submit, monitor, analyze, and evaluate LeRobot imitation learning training jobs on OSMO with Azure ML MLflow integration and inference evaluation - Brought to you by microsoft/physical-ai-toolchain
microsoft/physical-ai-toolchain
Set up a K3s cluster on an NVIDIA GPU host, connect it to Azure Arc, and configure Azure ML to use it as a Kubernetes compute target.
microsoft/physical-ai-toolchain
Generate, transfer, and consume environment-specific Azure, AKS, OSMO, ACR, and Azure ML deployment bundles.
microsoft/skills
Azure Machine Learning SDK v2 for Python. An agent skill from microsoft/skills.
microsoft/skills
Azure AI Search SDK for .NET (Azure.Search.Documents). An agent skill from microsoft/skills.
microsoft/GitHub-Copilot-for-Azure
A skill your agent uses for Azure AI: Search, Speech, OpenAI, Document Intelligence.
MicrosoftDocs/Agent-Skills
Guides Azure solution design by category, from reference architectures and design patterns to technology choices and migrations, fetching current Microsoft Learn pages over the network.
MicrosoftDocs/Agent-Skills
Reference guidance for Azure Advisor work: recommendations, alerts and digests, workbooks, RBAC access and sovereign-cloud limits, fetched from Microsoft Learn.
MicrosoftDocs/Agent-Skills
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MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Analysis Services development including troubleshooting.
MicrosoftDocs/Agent-Skills
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Expert knowledge for Azure Anyscale On Azure development including limits & quotas, security, configuration, and deployment.
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns. Azure Personalizer is an agent skill from MicrosoftDocs/Agent-Skills, published by the product's own GitHub organization. Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, security, configuration, and integrations & coding patterns.
Azure Personalizer fits situations like: choosing single vs multi-slot setups; tuning policies/exploration; using apprentice mode; local inference.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a claude-code`. Or copy the skill folder (skills/azure-personalizer in MicrosoftDocs/Agent-Skills) into .claude/skills/azure-personalizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a codex`. Or copy the skill folder (skills/azure-personalizer in MicrosoftDocs/Agent-Skills) into .agents/skills/azure-personalizer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MicrosoftDocs/Agent-Skills --skill azure-personalizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/azure-personalizer, .gemini/skills/azure-personalizer, .github/skills/azure-personalizer and .opencode/skills/azure-personalizer in your project.
SKILL.md names no scripts, command-line tools or credentials: Azure Personalizer is instructions for the agent only. Compatibility (from SKILL.md): Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation..
SKILL.md names 2 domains. As links in the text: learn.microsoft.com and github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Azure Personalizer is published under the CC-BY-4.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Azure Personalizer: Osmo Lerobot Training (microsoft/physical-ai-toolchain, 122 stars), Azureml K3s Compute Target Setup (microsoft/physical-ai-toolchain, 122 stars), Environment Deployment (microsoft/physical-ai-toolchain, 122 stars) and Azure AI ML Py (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MicrosoftDocs (a GitHub organization, an official publisher) maintains it in MicrosoftDocs/Agent-Skills, which has 775 GitHub stars. The repository holds 149 skills in this directory. The repository was last updated on October 5, 2026.
Source: MicrosoftDocs/Agent-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
