Agent skills for Android app development
summary
Shows how to author Agent Skills for the Gemini CLI and Android Studio that embed exact procedures (example: a 10‑step XML→Jetpack Compose migration) and a working emulator skill that runs a Python script to build the app, deploy to emulator, take golden screenshots and run UI tests. Explains the three-level loading model (metadata always loaded, instructions on trigger, scripts/resources loaded as needed), quantifies token impact, and demonstrates zero token consumption for deterministic scripts; repo links and a 500+ star GitHub example included.
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chapters (14)
- 0:00Agent-driven Android development
- 1:24AI shift to practical tools
- 2:29What is an AI agent
- 3:34Managing prompts and token costs
- 6:26Agent skills for consistent responses
- 8:12Android Studio and CLI setup
- 10:18Custom skills in Android projects
- 12:05Three skill loading levels
- 17:51Balancing deterministic operations
- 23:35Evaluating skill efficiency
- 27:16Ensuring skill safety
- 30:30Anthropic's skill creator
- 34:25Official Android skills repository
- 35:09Q&A
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