Song Recognition
SkillFiles & storageIdentify songs from audio files using ShazamIO. Use when the user asks to recognize a song, identify music from an audio file, find what song is playing, or Shazam an audio clip.
Use Song Recognition in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Song Recognition and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Song Recognition skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by remorses/opencode-config in skills/song-recognition/SKILL.md and read by Ahel’s review.
Identify songs from audio files using ShazamIO (reverse-engineered Shazam API). Free, unlimited, no API key needed. Uses the full Shazam catalog.
Usage
Run the bundled script with uv run:
uv run --with shazamio ~/.config/opencode/skills/song-recognition/recognize.py /path/to/audio.mp3
The script tries multiple offsets through the file (every 5 seconds) because Shazam often fails on intros, quiet sections, or ambient parts. It stops at the first match.
Notes
- Shazam returns one result per request, not a ranked list.
- Short clips (under 5s) may not match. The script uses 15s clips.
- If no offset matches, the song may not be in Shazam's catalog, or it could be a cover/remix that fingerprints differently.
- Results include title, artist, genre, and a Shazam URL.
Signals
- GitHub stars
- 43
- Forks
- 2
- Last commit
- Sep 2026
Ahel review
K6low
bundled executables the agent is told to run
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
song-recognition- Source
- github.com/remorses/opencode-config
github.com/remorses/opencode-config