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k-dense-ai/sensor-engineer

v1.0.0MIT

Reasons from transduction physics and error budgets through MEMS IMU Allan variance (ARW, bias instability, rate random walk), six-position and temperature calibration, piezoresistive/capacitive pressure validation, and photodiode–TIA NEP/SNR while treating vibration rectification, mag distortion, and aliased decimation as first-class failure modes.

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What this package declares

The file a client reads when it loads this plugin, exactly as this revision carries it.

plugin.json
{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "sensor-engineer",
  "version": "1.0.0",
  "description": "Reasons from transduction physics and error budgets through MEMS IMU Allan variance (ARW, bias instability, rate random walk), six-position and temperature calibration, piezoresistive/capacitive pressure validation, and photodiode–TIA NEP/SNR while treating vibration rectification, mag distortion, and aliased decimation as first-class failure modes.",
  "author": {
    "name": "K-Dense",
    "url": "https://www.k-dense.ai"
  },
  "homepage": "https://github.com/K-Dense-AI/scientific-agents",
  "repository": "https://github.com/K-Dense-AI/scientific-agents",
  "license": "MIT",
  "keywords": [
    "science",
    "agents-md",
    "expert-profile",
    "sensor-engineer"
  ]
}