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Android On Device ML

Category: General  ·  Sub-category: integrations  ·  Last updated:
type:integration
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.
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What this skill does

Android On Device ML is a community-contributed Claude Code skill in the integrations sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/android-on-device-ml/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Android On Device ML Claude Code skill is built for Claude Code users and developers across all disciplines looking for general-purpose AI assistance. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 146,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/android-on-device-ml
curl -L https://claudskills.com/skills/android-on-device-ml/SKILL.md \
  -o ~/.claude/skills/android-on-device-ml/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/android-on-device-ml/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/android-on-device-ml/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\android-on-device-ml\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Android On Device ML Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/android-on-device-ml/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Android On Device ML skill do?
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.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Android On Device ML skill?
Use Android On Device ML when your Claude Code task falls under the General category — specifically in the integrations area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Android On Device ML" or describe the task and let Claude pick). Browse related skills at /category/general/.
What is a Claude Code skill and how does the Android On Device ML skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Android On Device ML is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the General category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
drewid74. (2026). Android On Device ML [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/android-on-device-ml/
BibTeX
@misc{android-on-device-ml-2026,
  author    = {drewid74},
  title     = {Android On Device ML [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/android-on-device-ml/}
}

Embed this skill

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Badge
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<script>
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<iframe>
<iframe src="https://claudskills.com/embed/android-on-device-ml.html" width="100%" height="160" frameborder="0" loading="lazy" title="ClaudSkills: Android On Device ML"></iframe>

Security scan

Grade A · scanned 2026-07-06 — free static scan against the OWASP Agentic Skills Top 10.

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