Control Android device screens via ADB with vision-based coordinate detection.
npx skills add https://github.com/tiancaiamao/ai --skill burner-phone-tiancaiamao
Please help me install this Agent Skill. Skill: burner-phone Source: https://github.com/tiancaiamao/ai/tree/main/skills/burner-phone Command: npx skills add https://github.com/tiancaiamao/ai --skill burner-phone-tiancaiamao
This Skill removes the friction of manually interacting with Android devices when you need precise taps, swipes, typing, or app launches from an AI-driven workflow.
Ask the skill to inspect your Android screen and then tap, swipe, type, or launch the needed app using ADB with vision-based coordinate detection.
High-intent search queries and answers about installing and using this skill.
Android device automation via ADB uses vision analysis to capture screenshots, identify UI element coordinates, and execute taps, swipes, and text entry. This removes manual interaction by using a screenshot-and-confirm loop to verify actions.
To control an Android phone with ADB and a vision model, you need python3, an accessible vision model endpoint for screenshot interpretation, and an Android device connected with USB debugging enabled.
Yes, vision-based screenshot inspection captures the current Android screen and analyzes UI elements to find exact coordinates before sending ADB tap commands, ensuring precise interaction with the target application.
ADB automation handles app launches and key events by sending direct commands to the connected Android device. It uses vision analysis to verify screen states before executing key events or initiating app launches.
Limitations of ADB and vision models for mobile app testing include the dependency on a connected device with USB debugging and the processing overhead of capturing and analyzing screenshots for every on-device action.
Yes, ADB vision control is suitable for repetitive on-device tasks like burner phone workflows because it automates screenshot inspection, coordinate tapping, swiping, and text entry through an AI-driven workflow.
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