About this skill
On-device machine learning for Android: ML Kit (text recognition, object detection, pose estimation, face detection), TensorFlow Lite (custom model inference with GPU/NNAPI delegate), and MediaPipe Tasks API (gesture recognition, image classification, hand/face/pose landmarking). Covers model packaging, interpreter lifecycle, input/output tensor handling, Compose integration, and performance optimization for real-time inference. Use this when: running ML inference on-device without a server, integrating ML Kit APIs, loading a custom TFLite model, using MediaPipe for vision tasks, building a camera + ML pipeline, optimizing inference latency, or handling model versioning and asset delivery.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 936db6430ff5c5a71426ab76c3ecca7e0a1877fe117d9520b779742bdfd27e2f
About this listing
- Category
- General
- Reported license
- Not specified
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.