Using Ao

OrganizationPopular

Untrivial-ai

using-ao

Catalog of the AO Cloud `ao` CLI available inside a cloud sandbox: spawning worker sessions, listing them, messaging them, reporting to the orchestrator, killing them, and claiming pull requests. Use when orchestrating or coordinating AO cloud sessions with the ao CLI.

Overview

Publisher	Untrivial-ai
Repository	`agent-orchestrator`
Skill name	`using-ao`
Stars	12.1K
Forks	1.7K
Bundled files	2
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Untrivial-ai on GitHub. Read the source before you install it.

Installation

Install the Using Ao AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Untrivial-ai/agent-orchestrator/tree/main/cloud/internal/skillassets/using-ao

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Untrivial-ai/agent-orchestrator.git /tmp/agent-orchestrator
mkdir -p .claude/skills
cp -r /tmp/agent-orchestrator/cloud/internal/skillassets/using-ao .claude/skills/using-ao

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Ao in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Using Ao on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Using Ao is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AO Cloud CLI Catalog

ao inside a cloud sandbox is a thin client over the AO control plane. It is a different, smaller CLI than the desktop ao: there is no ao session, ao project, ao status, ao preview, or ao browser here. Every command is ao help for the authoritative list.

Command	What it does	Who can run it	Details
`spawn`	Create a worker session in its own fresh sandbox	Orchestrators only	commands/orchestration.md
`list` (`ls`, `status`)	List the workers this orchestrator spawned, with branch, status, and PR facts	Orchestrators only	commands/orchestration.md
`send`	Send a message into a worker's conversation	Orchestrators only	commands/orchestration.md
`kill` (`delete`, `rm`)	Terminate a worker session and its sandbox	Orchestrators only	commands/orchestration.md
`report`	Send a message to the orchestrator that spawned this session	Workers with an orchestrator parent	commands/orchestration.md
`claim-pr`	Attach an existing pull request to this session	Any session	commands/pull-requests.md

Conventions

ao list --json prints machine-readable output; --all includes terminated workers (hidden by default).
--agent is an alias for --harness on ao spawn.
Session ids are UUIDs shown by ao list.
Every session runs in its own isolated sandbox. Never try to reach another session's sandbox directly (no ssh, no shared filesystem); the ao commands above are the only channel between sessions.
A send to a worker whose sandbox is still provisioning is queued by the control plane and delivered when the worker's agent is ready — check runtimeConnected in ao list --json to see whether a worker is live.
Spawning and messaging are idempotent server-side; a command that prints a success line has been durably accepted even if the effect is not visible yet.
Pull requests and reviews are handled through socket helpers described in commands/pull-requests.md, not through ao.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

commands/orchestration.md4 KB
commands/pull-requests.md1 KB

Frequently asked questions

What does the Using Ao AI skill do?

Why use Using Ao on TypingMind?

Because you install it once and use it with any model. Using Ao is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Using Ao in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Untrivial-ai/agent-orchestrator/tree/main/cloud/internal/skillassets/using-ao. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Using Ao?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Using Ao?

As many as you like. As long as a model supports skills, you can use Using Ao with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Using Ao AI skill free?

Yes. It is published on GitHub by Untrivial-ai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AO Cloud CLI Catalog

Conventions

Bundled files

Frequently asked questions

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