Skip to content
TrustedSkillsbeta
Back to all skills

Agent Framework Azure Ai Py

Official
microsoft·vlatest·cloud·MIT

Official microsoft skill covering Azure, AI for deploying and managing cloud infrastructure.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add microsoft/skills --skill agent-framework-azure-ai-py --full-depth -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

microsoft

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned microsoft/skills at b4e3de3689.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
b4e3de3689
Manifest
.github/plugins/azure-sdk-python/skills/agent-framework-azure-ai-py/SKILL.md
Scanned
5 files, 1,632 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides a framework for integrating Azure AI services into Microsoft Agent Framework applications using Python. It simplifies the process of connecting to and utilizing various Azure AI capabilities, such as language understanding (LUIS) or question answering, within an agent-based system. The framework offers pre-built components and abstractions to streamline development and deployment.

When to use it

  • Building intelligent agents: Use this skill when developing AI agents that require integration with Azure Cognitive Services for natural language processing or other AI tasks.
  • Rapid prototyping: Quickly prototype agent solutions leveraging Azure AI without needing to write extensive boilerplate code.
  • Extending Agent Framework functionality: Add custom Azure AI integrations to existing Microsoft Agent Framework applications.
  • Automating workflows: Integrate Azure AI services into automated workflows within an agent-driven environment.

Key capabilities

  • Azure AI integration framework
  • Python-based implementation
  • Pre-built components for common tasks
  • Abstraction layer for Azure Cognitive Services

Example prompts

  • "Connect to my LUIS endpoint and extract entities from this user query."
  • "Use the question answering service to find an answer based on this document."
  • “Integrate with Azure OpenAI Service to generate a response.”

Tips & gotchas

  • Requires familiarity with both Microsoft Agent Framework and Python programming.
  • Ensure you have appropriate credentials and access to your Azure Cognitive Services resources.