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embedding-from-sensor

Stream real-time IMU sensor data to an Embedding Lens for live embeddings.

Updated Apr 9, 2026
Search Tags:#real-time#streaming#sensor#embedding#lens#ble#imu
One-click install
npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill embedding-from-sensor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: embedding-from-sensor
Source: https://github.com/archetypeai/newton-earthquake-demo/tree/main/.claude/skills/embedding-from-sensor
Command: npx skills add https://github.com/archetypeai/newton-earthquake-demo --skill embedding-from-sensor

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streams real-time IMU sensor data to the Archetype AI Embedding Lens to produce live embeddings for visualization, clustering, and analysis.

Core Features & Use Cases

  • Streams from BLE, USB, UDP, or recording playback, enabling live embedding extraction for dashboards and prototyping.
  • Provides Python and JavaScript/Web implementations for end-to-end data ingestion, lens registration, and session management.
  • Supports end-to-end flow from sensor data capture to embedding SSE consumption, suitable for experiments, demonstrations, and product integrations.

Quick Start

Connect a sensor and start the streaming script to begin embedding extraction.

Frequently Asked Questions about embedding-from-sensor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stream real-time IMU sensor data to generate live embeddings?▼

To stream real-time IMU sensor data and generate live embeddings, you can connect your sensor via BLE, USB, UDP, or recording playback to an Embedding Lens for continuous visualization, clustering, and analysis.

Can I use BLE and USB connections for real-time sensor embedding extraction?▼

Yes, real-time sensor embedding extraction supports BLE, USB, UDP, and recording playback sources, enabling live data ingestion from various hardware connections directly into the visualization pipeline.

What is the best way to visualize live IMU embeddings for dashboard prototyping?▼

The best way to visualize live IMU embeddings for dashboard prototyping involves streaming sensor data through an Embedding Lens, which handles lens registration, session creation, and SSE consumption across Python and JavaScript implementations.

Does this real-time sensor streaming approach work with both Python and JavaScript?▼

Yes, real-time sensor streaming works with both Python and JavaScript Web implementations, providing end-to-end coverage for sensor data capture, lens registration, session management, and embedding SSE consumption.

What types of sensor data sources are supported for live embedding visualization?▼

Live embedding visualization supports streaming from BLE, USB, UDP, and recording playback sources, allowing you to capture IMU sensor data for real-time extraction, clustering, and analysis experiments.

How do I set up end-to-end flow from sensor capture to embedding SSE consumption?▼

To set up end-to-end flow from sensor capture to embedding SSE consumption, you implement lens registration, create a streaming session, process sensor events, and consume embeddings through SSE using Python or JavaScript implementations.

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