Using Ao

OrganizationPopular

Untrivial-ai

using-ao

Catalog of the AO (Agent Orchestrator) `ao` CLI: spawning workers, managing sessions and projects, sending messages, controlling the shared browser, previewing pages, and daemon control. Use when using the ao CLI, spawning workers, or managing AO sessions in an AO workspace.

Overview

Publisher	Untrivial-ai
Repository	`agent-orchestrator`
Skill name	`using-ao`
Stars	12.1K
Forks	1.7K
Bundled files	14
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.
14 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/backend/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/backend/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 CLI Catalog

ao is a thin CLI over the local AO daemon. Every command is ao <command> --help for the authoritative flag list.

Command	What it does	When to use	Details
`spawn`	Spawn a project worker or projectless standalone worker	Starting a new task or issue	commands/spawn.md
`session`	Manage agent sessions (list, kill, rename, restore, etc.)	Inspecting or controlling running/terminated sessions	commands/session.md
`project`	Register, inspect, configure, or remove projects	Setting up or managing repos AO knows about	commands/project.md
`orchestrator`	List orchestrator sessions	Viewing which sessions are orchestrators	commands/orchestrator.md
`review`	Submit a reviewer result for a worker's PR	Completing a code review loop	commands/review.md
`send`	Send a message to a running agent session	Correcting or directing a live agent	commands/send.md
`preview`	Start a session-owned app or open an exact URL/file	Running and showing the worker's relevant app, Markdown, HTML, PDF, or image	commands/preview.md
`browser`	Inspect and control the session's shared live browser	Verifying a web app through snapshots, interactions, waits, screenshots, console, and errors	commands/browser.md
`start`	Fetch (if needed) and open the AO desktop app	Launching the app	commands/start.md
`stop`	Stop the AO daemon	Shutting down AO	commands/stop.md
`status`	Show daemon status	Verifying the daemon is up and healthy	commands/status.md
`doctor`	Run local health checks	Diagnosing AO setup problems	commands/doctor.md
`import`	Import projects from a legacy AO install	Migrating from the old flat-file store	commands/import.md
`version`	Print version information	Checking installed version	-
`completion`	Generate shell completion scripts	Setting up tab completion	-

Conventions

Most read commands accept --json for machine-readable output.
-p / --project scopes session subcommand lookups to one project.
Session and project ids are shown by ao session ls and ao project ls.
--agent is an alias for --harness on ao spawn.
Every command accepts -h / --help for the full flag list.
For frontend launch, preview selection, or artifact handoff, read commands/preview.md before acting. Its static-file, project-runtime, and automatic-handoff rules are load-bearing.
For page inspection, interaction, or request diagnosis, read commands/browser.md. It defines shared-tab behavior and the opt-in network policy.

Use references.md only when a natural-language request does not map clearly to a command above.

Bundled files

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

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/backend/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 CLI Catalog

Conventions

Bundled files

Frequently asked questions

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