Name: Songsee
Author: steipete

What breaks without openclaw song identification skill

Songs gone unidentified. Manual Shazam breaks workflow. Ambient audio ignored.

→

Instant song ID × 80-star battle-tested skill ÷ 15–20 minutes ÷ microphone-only access = audio recognition in your agent.

openclaw song identification skill — what it actually does

Identifies ambient audio using Shazam-style fingerprinting

Runs /songsee to name any playing track instantly

Integrates with AUDD or Shazam API — your choice

Works on macOS 12+ with microphone access granted

Blocks DRM audio from streaming services — ambient only

Security check — openclaw song identification skill

Privacy score: 7/10 — accesses connected platform APIs only. Lock it: review OAuth scopes before install, confirm macOS 12+; OpenClaw ≥1.0; microphone access compatibility.

Quick start — openclaw song identification skill in 15–20 minutes

Setup time: 15–20 minutes

You need:

OpenClaw core
microphone access
audio fingerprinting service API

Install the package:

clawhub install steipete/songsee

Grant microphone permission

Set AUDD_API_KEY (or Shazam API) in .env

Install skill

Run /songsee to identify what's playing

Troubleshooting openclaw song identification skill

1. Works only with ambient audio — not streaming service DRM audio

2. Requires minimum 5 seconds of clean audio — reduce background noise

Compatibility & status

Works with: macOS 12+; OpenClaw ≥1.0; microphone access intermediate Last updated: Sep 2025 ★ 80 on GitHub MIT

Official docs →

View on GitHub →

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Every session without it is a song your agent can't name. Install before the next gig, meeting, or playlist drops.

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