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Official agent skill

Microsoft Agent Framework

by github in github/awesome-copilot

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

OfficialMITAuto-check passedAI & LLM Engineering

Install Microsoft Agent Framework

skills CLI
$ npx skills add github/awesome-copilot --skill microsoft-agent-framework -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot microsoft-agent-framework --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/microsoft-agent-framework .claude/skills/microsoft-agent-framework && rm -rf skills-src

Use ~/.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/

Facts

Skill name
microsoft-agent-framework
GitHub stars
40k
Used in
2 other repos
Token cost
~1k tokens
SKILL.md length
487 words
Files
3 (incl. references)
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

  • Works in 4 steps: Use the .NET workflow when the… → Use the Python workflow when the… → If the repository contains both… → …
  • Tasks that involve Building AI agents
  • SKILL.md covers Determine the target language…, Always consult live…, Shared guidance and Migration guidance, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Microsoft Agent Framework is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/dotnet.md` and `references/python.md`).

It sits in AI & LLM Engineering, covering Building AI agents. It works with .NET and Python. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Tasks that involve Building AI agents

Example prompts

  • “/microsoft-agent-framework”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Use the .NET workflow when the repository contains .cs, .csproj, .sln, .slnx, or other .NET project files, or when the user explicitly…
  2. Use the Python workflow when the repository contains .py, pyproject.toml, requirements.txt, or the user explicitly asks for Python…
  3. If the repository contains both ecosystems, match the language used by the files being edited or the user's stated target.
  4. If the language is ambiguous, inspect the current workspace first and then choose the closest language-specific reference.

What it can do on your machine

Read from SKILL.md and the folder at commit 727ff2e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    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.

  • Network

    Links to these hosts (documentation or services it may open):

    • learn.microsoft.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Microsoft Agent Framework loads about 1k tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 487 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.5k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 487 words, ~1,041 tokens.

Download SKILL.mdSave it as .claude/skills/microsoft-agent-framework/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
microsoft-agent-framework
description
Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.

Microsoft Agent Framework

Use this skill when working with applications, agents, workflows, or migrations built on Microsoft Agent Framework.

Microsoft Agent Framework is the unified successor to Semantic Kernel and AutoGen, combining their strengths with new capabilities. Because it is still in public preview and changes quickly, always ground implementation advice in the latest official documentation and samples rather than relying on stale knowledge.

Determine the target language first

Choose the language workflow before making recommendations or code changes:

  1. Use the .NET workflow when the repository contains .cs, .csproj, .sln, .slnx, or other .NET project files, or when the user explicitly asks for C# or .NET guidance. Follow references/dotnet.md.
  2. Use the Python workflow when the repository contains .py, pyproject.toml, requirements.txt, or the user explicitly asks for Python guidance. Follow references/python.md.
  3. If the repository contains both ecosystems, match the language used by the files being edited or the user's stated target.
  4. If the language is ambiguous, inspect the current workspace first and then choose the closest language-specific reference.

Always consult live documentation

  • Read the Microsoft Agent Framework overview first: https://learn.microsoft.com/agent-framework/overview/agent-framework-overview
  • Prefer official docs and samples for the current API surface.
  • Use the Microsoft Docs MCP tooling when available to fetch up-to-date framework guidance and examples.
  • Treat older Semantic Kernel or AutoGen patterns as migration inputs, not as the default implementation model.

Shared guidance

When working with Microsoft Agent Framework in any language:

  • Use async patterns for agent and workflow operations.
  • Implement explicit error handling and logging.
  • Prefer strong typing, clear interfaces, and maintainable composition patterns.
  • Use DefaultAzureCredential when Azure authentication is appropriate.
  • Use agents for autonomous decision-making, ad hoc planning, conversation flows, tool usage, and MCP server interactions.
  • Use workflows for multi-step orchestration, predefined execution graphs, long-running tasks, and human-in-the-loop scenarios.
  • Support model providers such as Azure AI Foundry, Azure OpenAI, OpenAI, and others, but prefer Azure AI Foundry services for new projects when that matches user needs.
  • Use thread-based or equivalent state handling, context providers, middleware, checkpointing, routing, and orchestration patterns when they fit the problem.
Show full SKILL.md (147 more words)Show less

Migration guidance

Workflow

  1. Determine the target language and read the matching reference file.
  2. Fetch the latest official docs and samples before making implementation choices.
  3. Apply the shared agent and workflow guidance from this skill.
  4. Use the language-specific package, repository, sample paths, and coding practices from the chosen reference.
  5. When examples in the repo differ from current docs, explain the difference and follow the current supported pattern.

References

Completion criteria

  • Recommendations match the target language.
  • Package names, repository paths, and sample locations match the selected ecosystem.
  • Guidance reflects current Microsoft Agent Framework documentation rather than legacy assumptions.
  • Migration advice calls out Semantic Kernel and AutoGen only when relevant.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/microsoft-agent-framework of github/awesome-copilot.

  • SKILL.md
  • references/dotnet.md
  • references/python.md

Open the folder on GitHubat commit 727ff2e

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Microsoft Agent Framework 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.

Microsoft Agent Framework compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Microsoft Agent Framework this skillgithub/awesome-copilot40k2 repos~1kAutomated safety check: PassMIT
Building Pydantic AI Agentsdocling-project/docling68k—~2.8kAutomated safety check: PassMIT
Swarms Multi-Agent Frameworkkyegomez/swarms7.2k—~5.5kAutomated safety check: PassApache-2.0
Pydantic AI Harnesspydantic/pydantic-ai20k—~4.9kAutomated safety check: PassMIT
Agent Squad Python Guide2FastLabs/agent-squad7.8k—~4.7kAutomated safety check: PassApache-2.0
Azure AI Projects Python SDKmicrosoft/skills3.1k6 repos~2.8kAutomated safety check: PassMIT

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Works with

Categories

Questions about Microsoft Agent Framework

What does Microsoft Agent Framework do?

Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python. Microsoft Agent Framework is an agent skill from github/awesome-copilot, published by the product's own GitHub organization.NET and Python.

When should I use Microsoft Agent Framework?

Microsoft Agent Framework fits situations like: tasks that involve Building AI agents.

How do I install Microsoft Agent Framework in Claude Code?

Run `npx skills add github/awesome-copilot --skill microsoft-agent-framework -a claude-code`. Or copy the skill folder (skills/microsoft-agent-framework in github/awesome-copilot) into .claude/skills/microsoft-agent-framework in your project. Claude Code loads it when a task matches its description.

How do I install Microsoft Agent Framework in Codex?

Run `npx skills add github/awesome-copilot --skill microsoft-agent-framework -a codex`. Or copy the skill folder (skills/microsoft-agent-framework in github/awesome-copilot) into .agents/skills/microsoft-agent-framework in your project. Codex loads it when a task matches its description.

Can I use Microsoft Agent Framework in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill microsoft-agent-framework -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/microsoft-agent-framework, .gemini/skills/microsoft-agent-framework, .github/skills/microsoft-agent-framework and .opencode/skills/microsoft-agent-framework in your project.

What does Microsoft Agent Framework need to run?

SKILL.md names no scripts, command-line tools or credentials: Microsoft Agent Framework is instructions for the agent only. Our summary lists: Python 3.

Does Microsoft Agent Framework access the network?

SKILL.md names 1 domain. As links in the text: learn.microsoft.com. This is read from the text; nothing was executed.

Is Microsoft Agent Framework safe to install?

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.

What licence does Microsoft Agent Framework use?

Microsoft Agent Framework is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Microsoft Agent Framework use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 440 tokens, read only when the agent opens those files.

What are the alternatives to Microsoft Agent Framework?

Skills that share tags, products or a category with Microsoft Agent Framework: Building Pydantic AI Agents (docling-project/docling, 68k stars), Swarms Multi-Agent Framework (kyegomez/swarms, 7.2k stars), Pydantic AI Harness (pydantic/pydantic-ai, 20k stars) and Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Microsoft Agent Framework?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.