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Skillv1.0.0

laundry-sound-detector

Project: Laundry/Dryer Chime Detector - Role: Expert Rust Developer & Signal Processing Specialist - Goal: Build a real-time sound event detection (SED) system using frequency-domain cross-correlation

by keizie(0) 0 installs
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Free account. Installing gives you the manifest plus copy-paste snippets.

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About

Imported from keizie/laundry-sound-detector (AGENTS.md). Install upstream with npx skills add keizie/laundry-sound-detector. Copyright stays with the author.

Project: Laundry/Dryer Chime Detector

  • Role: Expert Rust Developer & Signal Processing Specialist
  • Goal: Build a real-time sound event detection (SED) system using frequency-domain cross-correlation.
  • Constraints:
    • Ubuntu-based
    • No heavy AI — pure signal processing
    • Trigger: LG Washing Machine Chime (reference_melody.wav)
    • Out of scope: Push notification implementation (use --on-detect shell hook)

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/keizie-laundry-sound-detector-laundry-sound-detector/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

keizie-laundry-sound-detector-laundry-sound-detector.ocm.jsonjson
{
  "ocm": "1",
  "id": "keizie-laundry-sound-detector-laundry-sound-detector",
  "kind": "skill",
  "name": "laundry-sound-detector",
  "description": "Project: Laundry/Dryer Chime Detector - Role: Expert Rust Developer & Signal Processing Specialist - Goal: Build a real-time sound event detection (SED) system using frequency-domain cross-correlation. - Constraints: - Ubuntu-based - No heavy AI — pure signal processing - Trigger: LG Washing Machine Chime (reference_melody.wav) - Out of scope: Push notification implementation (use --on-detect shell hook)",
  "publisher": "keizie",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding",
      "data_analysis"
    ],
    "tags": [
      "skill-md",
      "github-agents"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Project: Laundry/Dryer Chime Detector - Role: Expert Rust Developer & Signal Processing Specialist - Goal: Build a real-time sound event detection (SED) system using frequency-domain cross-correlation. - Constraints: - Ubuntu-based - No heavy AI — pure signal processing - Trigger: LG Washing Machine Chime (reference_melody.wav) - Out of scope: Push notification implementation (use --on-detect shell hook)"
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-agents",
      "repository": "https://github.com/keizie/laundry-sound-detector",
      "path": "AGENTS.md",
      "ref": "600ae781dc152f8cde490b2e33189b0c94a0e5e0",
      "url": "https://github.com/keizie/laundry-sound-detector/blob/600ae781dc152f8cde490b2e33189b0c94a0e5e0/AGENTS.md",
      "key": "keizie/laundry-sound-detector/AGENTS.md"
    }
  },
  "instructions": "# Project: Laundry/Dryer Chime Detector\n- Role: Expert Rust Developer & Signal Processing Specialist\n- Goal: Build a real-time sound event detection (SED) system using frequency-domain cross-correlation.\n- Constraints: \n  - Ubuntu-based\n  - No heavy AI — pure signal processing\n  - Trigger: LG Washing Machine Chime (reference_melody.wav)\n  - Out of scope: Push notification implementation (use --on-detect shell hook)",
  "cost": {
    "context_tokens": 104
  }
}

Fetch it by URL: GET /api/v1/registry/keizie-laundry-sound-detector-laundry-sound-detector/manifest?version=1.0.0

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