Apple On Device Ai

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by dpearson2699 · vlatest · Repository

Analyzes local apple device data (photos, notes, health) to provide personalized insights and automated actions offline.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add apple-on-device-ai npx -- -y @trustedskills/apple-on-device-ai
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "apple-on-device-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/apple-on-device-ai"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill enables AI agents to leverage Apple's on-device machine learning capabilities. It allows for real-time processing of data directly on the user’s device, such as image recognition, natural language understanding, and predictive text without requiring a network connection or sending data to external servers. This enhances privacy and reduces latency compared to cloud-based solutions.

When to use it

  • Image Classification: Classify objects in photos taken with the device's camera, useful for automated tagging or content filtering.
  • Real-time Translation: Provide instant translation of spoken language during conversations without internet access.
  • Predictive Text Input: Offer contextually relevant word suggestions as a user types, improving typing speed and accuracy.
  • Offline Voice Commands: Process voice commands for device control even when offline.

Key capabilities

  • On-device machine learning inference
  • Image recognition
  • Natural language processing (NLP)
  • Predictive text generation
  • Real-time translation

Example prompts

  • "Classify this image." (followed by providing an image)
  • "Translate 'Hello, how are you?' into Spanish."
  • "Suggest the next word in this sentence: 'The cat sat on the...'"
  • “What is the dominant color of this photo?”

Tips & gotchas

  • Requires access to Apple’s Core ML framework and compatible device hardware.
  • Model size and complexity can impact device performance; optimize models for efficiency.

Tags

🛡️

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Details

Version
vlatest
License
Author
dpearson2699
Installs
3

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Passed automated security scans.