falleco/dotfiles/agent-device
Claude Code and agent skill by falleco/dotfiles
- community
Checking that the SKILL.md file is still in the repository.
Automates Apple-platform apps (iOS, tvOS, macOS), Android devices, and Amazon Vega OS TV apps in Vega Virtual Devices. Use when navigating apps, taking snapshots/screenshots where supported, driving TV remotes, tapping, typing, scrolling, extracting UI info, collecting evidence, or planning agent-device CLI commands.
Install
npx vskill@latest install falleco/dotfiles/agent-deviceSKILL.md
agent-device
For a normal app-driving task, start immediately. Do not probe first with --help, --version, devices, appstate, snapshot, or screenshot:
That starts the session and returns the initial interactive snapshot with @refs.
Loop: act with press|click|fill|longpress <target> ... --settle, scroll <direction> --settle, or back --settle; continue from the printed diff, verify the named expectation (wait text "...", is, get, or find), then run agent-device close.
Copy refs byte-for-byte: @e12, @e12~s4 — keep the @ and any ~sN. Prefer current refs, then id/label/role selectors; coordinates are a last resort. If snapshot reports sparse/AX-unavailable, its refs and selectors are invalid: run agent-device screenshot, inspect the image, use coordinates, then retry snapshot -i after navigating. Otherwise run snapshot -i only when the diff lacks the next target.
Error output includes corrective hints; follow them instead of re-planning. Only when the task is specialized (for example gestures, scripting, TV, macOS, remote, or debugging) or a command shape is unclear, run agent-device help <topic>. agent-device --help lists topics, but is not a startup step.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckinghome/.agents/skills/agent-device/SKILL.md
Popularity
- Repository stars
- 85
- Repository forks
- 7
- 7-day trend score
- 22
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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