A skill your agent uses for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One…

Custom licenceAuto-check passedAI & LLM Engineering

Install Autogen

skills CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill autogen -a claude-code

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

GitHub CLI
$ gh skill install VectorSpaceLab/AREX-Skill autogen --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/autogen .claude/skills/autogen && 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
autogen
GitHub stars
330
Token cost
~1.5k tokens
SKILL.md length
595 words
Files
7 (incl. scripts, references)
Skills in repo
159
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One…

  • Works in 5 steps: Identify whether the task is an… → Read references/package-map.md for… → Read references/troubleshooting.md for… → …
  • Safely operating Microsoft AutoGen Python 0.7.x applications
  • SKILL.md covers Quick Routing, Start Here, Package Map and Safe Defaults, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

Autogen is an agent skill from VectorSpaceLab/AREX-Skill. Use this skill for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One, AG Bench, and pyautogen compatibility.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/package-map.md`, `references/repo-provenance.md` and `references/repo-routing-metadata.json`).

It sits in AI & LLM Engineering, covering Building AI agents. It works with Python. The repository describes itself as: A Skill Library for Automated Machine Learning.

When your agent uses it

  • Safely operating Microsoft AutoGen Python 0.7.x applications
  • Including AgentChat
  • Pyautogen compatibility

Example prompts

  • “/autogen”

Requirements

  • Python 3
  • Docker

Workflow steps

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

  1. Identify whether the task is an application workflow, low-level runtime, optional integration, or developer tooling problem.
  2. Read references/package-map.md for package names, install commands, version boundaries, and safe import checks.
  3. Read references/troubleshooting.md for cross-cutting install/import, async, optional dependency, credential, and migration failures.
  4. Run python scripts/inspect_autogen_install.py --json in the target environment to inspect installed AutoGen packages without network…
  5. Route to the focused sub-skill and use its references/scripts for concrete APIs, commands, examples, and troubleshooting.

What it can do on your machine

Read from SKILL.md and the folder at commit ac3fe1a. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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

Autogen loads about 1.5k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 595 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

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); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 595 words (~1,464 tokens).

“Use this skill when the user is working with Microsoft AutoGen Python code, especially existing AutoGen 0.7.x applications, migration from older AutoGen APIs, AgentChat teams, Core runtimes, autogen-ext integrations, AutoGen Studio, Magentic-One, AG Bench, or pyautogen compatibility.”

— opening of SKILL.md by VectorSpaceLab, Custom licence
name
autogen
disable-model-invocation
true
metadata.disco-role
operating
license
NOASSERTION

Read the full SKILL.md on GitHub

Files

SKILL.md and 6 other files (scripts, references) in skills/repositories/repo-skills/autogen of VectorSpaceLab/AREX-Skill.

  • SKILL.md
  • references/package-map.md
  • references/repo-provenance.md
  • references/repo-routing-metadata.json
  • references/troubleshooting.md
  • scripts/inspect_autogen_install.py
  • sub-skills

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

Autogen 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.

Autogen compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Autogen this skillVectorSpaceLab/AREX-Skill330—~1.5kAutomated safety check: PassCustom licence
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2603 repos~1.4kAutomated safety check: PassCustom licence
Google Agents CLI Adk Codepifferologo/cloud-agents-cli1291 repos~768Automated safety check: PassApache-2.0
DSPy Language Model ProgrammingOrchestra-Research/AI-Research-SKILLs13k9 repos~3.8kAutomated safety check: PassMIT
E2b Code Interpreteragent-sandbox/agent-sandbox218—~2.3kAutomated safety check: PassApache-2.0
Code SnippetsMicrosoftDocs/semantic-kernel-docs264—~1.4kAutomated safety check: PassMIT

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Works with

Questions about Autogen

What does Autogen do?

A skill your agent uses for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One…. Autogen is an agent skill from VectorSpaceLab/AREX-Skill.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One, AG Bench, and pyautogen compatibility.

When should I use Autogen?

Autogen fits situations like: safely operating Microsoft AutoGen Python 0.7.x applications; including AgentChat; pyautogen compatibility.

How do I install Autogen in Claude Code?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill autogen -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/autogen in VectorSpaceLab/AREX-Skill) into .claude/skills/autogen in your project. Claude Code loads it when a task matches its description.

How do I install Autogen in Codex?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill autogen -a codex`. Or copy the skill folder (skills/repositories/repo-skills/autogen in VectorSpaceLab/AREX-Skill) into .agents/skills/autogen in your project. Codex loads it when a task matches its description.

Can I use Autogen 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 VectorSpaceLab/AREX-Skill --skill autogen -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autogen, .gemini/skills/autogen, .github/skills/autogen and .opencode/skills/autogen in your project.

What does Autogen need to run?

Going by SKILL.md and its folder, Autogen needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; Docker.

Does Autogen access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Autogen 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Autogen use?

Autogen has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Autogen use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 1.9k tokens, read only when the agent opens those files.

What are the alternatives to Autogen?

Skills that share tags, products or a category with Autogen: Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Google Agents CLI Adk Code (pifferologo/cloud-agents-cli, 129 stars), DSPy Language Model Programming (Orchestra-Research/AI-Research-SKILLs, 13k stars) and E2b Code Interpreter (agent-sandbox/agent-sandbox, 218 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autogen?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.

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