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Microsoft Learn documentation skill for OpenClaw

⬇ 3.4K downloads ★ 1 stars Version 1.0.0 Rank #2880 of 10,000+

What this skill does

Query official Microsoft documentation to understand concepts, find tutorials, and learn how services work. Use for Azure, .NET, Microsoft 365, Windows, Power Platform, and all Microsoft technologies. Get accurate, current information from learn.microsoft.com and other official Microsoft websites—architecture overviews, quickstarts, configuration guides, limits, and best practices.

The Microsoft Learn documentation skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

The Microsoft Learn documentation skill is ranked #2880 by downloads in the OpenClaw skill catalog (3.4K total downloads, 1 stars). It belongs to the Developer Tools category alongside 3540 other top-10000 skills.

How to install the Microsoft Learn documentation skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for microsoft-docs and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Microsoft Learn documentation skill with a single command:

openclaw skills add microsoft-docs

This pulls microsoft-docs from ClawHub and installs it into ~/.openclaw/skills/microsoft-docs/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Microsoft Learn documentation skill

Once installed, the Microsoft Learn documentation skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab microsoft-docs-1.0.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/microsoft-docs/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Microsoft Learn documentation?

Install Microsoft Learn documentation in the OpenClaw Easy desktop app by opening the Skills panel, searching for microsoft-docs, and clicking Install. From a terminal you can run: openclaw skills add microsoft-docs. Either way the skill is placed in ~/.openclaw/skills/microsoft-docs/.

Is the Microsoft Learn documentation skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Microsoft Learn documentation do?

Query official Microsoft documentation to understand concepts, find tutorials, and learn how services work. Use for Azure, .NET, Microsoft 365, Windows, Power Platform, and all Microsoft technologies.

Related: more developer tools skills

If the Microsoft Learn documentation skill looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models