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Ao Desktop Dev

OrganizationPopular
OrchestratorInc
ao-desktop-dev

Launch, restart, or troubleshoot the real AO Electron desktop app from this repository; run a checkout against isolated or real local AO data; combine PR branches for local UI review; and diagnose stale Electron processes, port conflicts, or preload bridge mismatches. Use whenever asked to run, open, show, or visually verify AO frontend changes in the actual desktop app rather than ao preview, dev:web, or mock data.

Overview

PublisherOrchestratorInc
Repositoryagent-orchestrator
Skill nameao-desktop-dev
Stars
13.5K
Forks
1.9K
Bundled files
1
LicenseApache-2.0
Links
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by OrchestratorInc on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/OrchestratorInc/agent-orchestrator/tree/main/.agents/skills/ao-desktop-dev
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/OrchestratorInc/agent-orchestrator.git /tmp/agent-orchestrator
mkdir -p .claude/skills
cp -r /tmp/agent-orchestrator/.agents/skills/ao-desktop-dev .claude/skills/ao-desktop-dev
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ao Desktop Dev 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 Ao Desktop Dev 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 Ao Desktop Dev 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 Desktop Dev

Run the Electron application from the current checkout and verify it in the native window. Keep the dev daemon, renderer, Electron preload, and selected data mode explicit so the user never reviews a mock or stale build by accident.

Choose the data mode

Ask only when the request does not make the desired data source clear.

  • Use isolated mode by default for implementation and destructive testing. Electron uses port 3002, ~/.ao/dev/running.json, ~/.ao/dev/data, and ~/.ao/dev/electron.
  • Use real-data mode only when the user explicitly asks to see this machine's actual AO projects or sessions. Start the checkout's dev daemon on the isolated dev port/run file while pointing AO_DATA_DIR at the real AO data directory. This is a separate daemon process using real data; do not describe it as the installed app's daemon.
  • Never try to attach an unpackaged Electron app directly to a packaged daemon from another checkout. The supervisor intentionally rejects daemon identity mismatches.
  • Warn before actions in real-data mode that create, terminate, rename, or otherwise mutate sessions. Merely opening and inspecting the UI is expected.
  • Real-data mode reads the same database as the installed app, and only one daemon can own a data directory. Quit the packaged app first: while its daemon runs, the dev daemon waits for the data-dir lock (9 x AO_SHUTDOWN_TIMEOUT + 18s, 108s by default) and then exits with code 75. The dev window is marked with an Agent Orchestrator (dev) title, the default Electron dock icon, and an in-app dev badge — verify those markers before acting.

Preflight

  1. Work from the repository root and inspect git status --short --branch.
  2. Read frontend/package.json, frontend/src/main.ts, and frontend/forge.config.ts when the launch behavior may have changed. Treat source as authoritative over this skill.
  3. Confirm Node/npm and the Go version required by backend/go.mod are available. Run npm ci in frontend/ only when dependencies are absent or inconsistent; do not reinstall on every launch.
  4. Check for an existing dev instance from this exact checkout before starting another. Do not kill by process name alone, and never terminate every Electron process.

On macOS/Linux, inspect checkout-scoped processes and listeners with finite commands:

bash
ps -axo pid=,ppid=,pgid=,lstart=,command= | rg 'frontend/(node_modules/.bin/electron-forge|node_modules/electron/dist/Electron)'
lsof -nP -iTCP:3002 -sTCP:LISTEN

Use the full command paths and start times to distinguish this checkout from other AO worktrees. On Windows, use Get-CimInstance Win32_Process and Get-NetTCPConnection; preserve the same exact-target rule.

Launch the app

Run Electron Forge in a foreground interactive process so its output and restart input remain available. Do not append &, use a detached shell, or start a browser preview instead.

Isolated mode

On macOS/Linux:

bash
cd frontend
env -u AO_DATA_DIR -u AO_RUN_FILE -u AO_PORT npm run dev

On PowerShell:

powershell
Set-Location frontend
Remove-Item Env:AO_DATA_DIR, Env:AO_RUN_FILE, Env:AO_PORT -ErrorAction SilentlyContinue
npm run dev

Real-data mode

First resolve and report the actual data directory. In an AO worker session, AO_DATA_DIR normally already identifies it. Otherwise the repository default is the absolute path corresponding to ~/.ao/data.

Keep the real data directory but remove inherited port/run-file overrides so the dev app retains its own daemon handshake and port:

bash
cd frontend
env -u AO_RUN_FILE -u AO_PORT AO_DATA_DIR="${AO_DATA_DIR:-$HOME/.ao/data}" npm run dev

PowerShell equivalent:

powershell
Set-Location frontend
$realAoData = if ($env:AO_DATA_DIR) { $env:AO_DATA_DIR } else { Join-Path $HOME ".ao/data" }
Remove-Item Env:AO_RUN_FILE, Env:AO_PORT -ErrorAction SilentlyContinue
$env:AO_DATA_DIR = $realAoData
npm run dev

Do not print unrelated environment variables: AO sessions may carry credentials. It is safe to report only AO_DATA_DIR, AO_RUN_FILE, and AO_PORT.

Confirm the correct app is ready

Wait for all of these signals:

  • Electron Forge reports Launched Electron app.
  • The daemon reports daemon listening, normally on 127.0.0.1:3002 unless it explicitly reports another bound port.
  • The renderer makes successful requests such as /api/v1/projects and /api/v1/sessions.
  • The native Electron window shows the checkout's UI. A Vite URL opened in a normal browser is not equivalent because it lacks the Electron preload bridge.

If several AO windows exist, identify the newest Electron main process belonging to this checkout. On macOS, foreground that exact PID only when needed:

bash
osascript -e 'tell application "System Events" to set frontmost of first process whose unix id is <verified-pid> to true'

Do not claim real data from appearance alone. Verify the selected data directory and successful API responses. Do not claim visual success from compilation alone; interact with the requested flow in Electron or ask the user for a screenshot when screen capture is unavailable.

Reload changes correctly

  • Renderer-only React/CSS changes normally hot reload.
  • Changes to frontend/src/main.ts, preload files, Forge configuration, shared bridge types, or IPC registration require an Electron main-process restart. Type rs into the active Forge terminal or fully stop and relaunch the dev process.
  • A renderer error such as aoBridge.<method> is not a function almost always means the renderer hot-reloaded against a stale preload. Restart Electron before changing code to add guards around a bridge method that should exist.
  • Backend changes require restarting the managed dev daemon or the Electron process; renderer hot reload cannot apply Go changes.

After a restart, confirm the new Electron PID/start time and re-check the logs for the original error.

Preview multiple PRs locally

When the user wants to see multiple unmerged PRs together:

  1. Require a clean worktree and fetch each PR head.
  2. Create a clearly named local-only integration branch using the session/repository branch convention.
  3. Merge or cherry-pick the requested PR heads without rewriting or pushing either source branch.
  4. Resolve overlaps according to the requested combined behavior and run focused typechecks/tests.
  5. Let renderer changes hot reload; restart Electron if either PR changes main/preload/IPC code.
  6. State that the integration branch is local-only. Do not push it unless the user explicitly requests a combined PR.

Once one PR merges, prefer rebasing the remaining PR onto current main; the normal PR branch then contains both views without a local integration merge.

Stop without collateral damage

  1. Send Ctrl+C to the foreground dev process and wait briefly for Electron and its managed daemon to exit.
  2. Re-run the checkout-scoped process query. If the exact process group remains, identify the group created by this launch before sending TERM to that group.
  3. On Windows, terminate the verified parent tree only. Never use a broad Electron, Node, Go, or port-based kill.
  4. Confirm the captured Electron PID and dev daemon listener are gone. Leave installed AO and other worktrees untouched.

Common mistakes

  • ao preview controls the AO Browser panel; it does not launch the desktop shell.

  • npm run dev:web is useful for browser-only renderer work but does not provide Electron APIs or native chrome.

  • Renderer URLs can move from 5173 when a port is occupied. Trust Forge's printed URL rather than assuming one.

  • Multiple dev instances share ~/.ao/dev/electron by default, and Chromium's singleton lock lives in the profile, so a second checkout's npm run dev loses requestSingleInstanceLock() and exits immediately with code 0. To run two worktrees at once, give each its own profile, run file, and data dir:

    bash
    env -u AO_PORT \
      AO_DEV_ELECTRON_DIR="$HOME/.ao/dev/<name>/electron" \
      AO_RUN_FILE="$HOME/.ao/dev/<name>/running.json" \
      AO_DATA_DIR="$HOME/.ao/dev/<name>/data" \
      npm run dev

    Without all three the instances still collide, on the profile lock, the run file, or the daemon's SQLite data.

  • An inherited AO_DATA_DIR changes dev mode from isolated data to real data. Always choose and report the mode instead of inheriting it accidentally.

  • Repeated /healthz/ 404 entries from external probes can be noisy; readiness is determined by Electron's daemon status and successful API traffic, not by log volume.

Completion report

Report:

  • checkout and branch being displayed;
  • isolated or real-data mode and the non-sensitive data/run-file paths;
  • renderer and daemon addresses actually reported;
  • whether Electron was restarted for main/preload changes;
  • user flows exercised in the native window;
  • any remaining stale process, port, or visual-verification limitation.

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 Ao Desktop Dev AI skill do?

Launch, restart, or troubleshoot the real AO Electron desktop app from this repository; run a checkout against isolated or real local AO data; combine PR branches for local UI review; and diagnose stale Electron processes, port conflicts, or preload bridge mismatches. Use whenever asked to run, open, show, or visually verify AO frontend changes in the actual desktop app rather than ao preview, dev:web, or mock data.

Why use Ao Desktop Dev on TypingMind?

Because you install it once and use it with any model. Ao Desktop Dev 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 Ao Desktop Dev in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OrchestratorInc/agent-orchestrator/tree/main/.agents/skills/ao-desktop-dev. 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 Ao Desktop Dev?

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 Ao Desktop Dev?

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

Is the Ao Desktop Dev AI skill free?

Yes. It is published on GitHub by OrchestratorInc 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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