AppAgent

SkillCloud & infra

"Routes AppAgent setup, exploration, and deployment workflows for

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the AppAgent skill

What this skill tells your AI

The instructions your AI receives, as published by vectorspacelab/arex-skill in skills/repositories/repo-skills/app-agent/SKILL.md and read by ahel’s review.

AppAgent operates Android apps through ADB, screenshot/XML capture, multimodal model calls, and generated UI documentation.

Use this skill when the task is about:

  • installing or validating the AppAgent runtime prerequisites,
  • generating UI documentation through autonomous exploration or human demonstration,
  • running AppAgent against a documented app in deployment mode,
  • debugging model/config/device issues in a local checkout.

First read

  • references/setup.md for Python, adb, device/emulator, and config prerequisites.
  • references/configuration.md for the config.yaml keys and backend selection rules.
  • references/workflows.md for the high-level exploration/deployment output layout.
  • references/troubleshooting.md for the most common failures and recovery steps.
  • references/api-reference.md when you need exact helper signatures or parser behavior.

Quick preflight

Use the bundled checker before launching a real device session:

  • scripts/check_setup.py --repo-root <AppAgent checkout>
  • scripts/check_setup.py --repo-root <AppAgent checkout> --skip-adb when you only want Python/config validation.

The checker is read-only. It confirms imports, config keys, and whether adb is on PATH.

Route map

Setup and readiness

Use the setup references and scripts/check_setup.py when the request is about:

  • installing dependencies,
  • editing config.yaml,
  • choosing OpenAI versus Qwen,
  • connecting a phone or emulator,
  • deciding where generated apps/ and tasks/ folders should live.

Exploration

Use sub-skills/exploration/SKILL.md when the request is about:

  • autonomous exploration,
  • human demonstration capture,
  • generating or refining UI docs,
  • understanding the output under apps/<app>/auto_docs/ or apps/<app>/demo_docs/.

The exploration launcher lives at:

  • sub-skills/exploration/scripts/start_exploration.py

Deployment

Use sub-skills/deployment/SKILL.md when the request is about:

  • running a task against an app that already has docs,
  • selecting between auto and demo docs,
  • interpreting task logs and deployment outcomes,
  • handling no-doc fallback decisions.

The deployment launcher lives at:

  • sub-skills/deployment/scripts/start_deployment.py

Common operating assumptions

  • AppAgent expects a live Android device or emulator plus adb.
  • The repo stores generated outputs under apps/ and tasks/ relative to the chosen root_dir.
  • The repository is script-driven; the helpers and references in this skill are the public runtime contract.
  • YAML config values are the effective source of truth for runtime settings.

If something fails

  • Check references/troubleshooting.md first.
  • If the device is unavailable, fix the host/device layer before retrying the Python checks.
  • If the multimodal backend or parser fails, inspect the raw logs in the generated tasks/ or apps/<app>/demos/ tree.
  • If grid swipes behave oddly, remember the current precise-swipe bug and prefer the safer path until it is patched.

What this skill does not do

  • It does not train a new model.
  • It does not replace the user's Android device or emulator.
  • It does not assume the repo checkout is packaged as an installable Python distribution.

Signals

GitHub stars
278
Forks
21
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
app-agent
Source
github.com/vectorspacelab/arex-skill