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Use when a user sends an audio file and asks "what is this song?", "identify this track", "shazam this", or similar. Accepts any audio format (OGG, MP3, WAV, M4A). Returns title, artist, album, release date, and Spotify/Apple Music links via the AudD API.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use when a user wants to translate text to or from any Indian language — Hindi, Tamil, Telugu, Bengali, Marathi, Kannada, Malayalam, Gujarati, Punjabi, Urdu, Odia, Assamese, Sanskrit — or says "translate this message", "translate this to Hindi", "what does this say in Tamil", "convert to Marathi", or similar. Also handles global languages (Spanish, French, Arabic, Chinese, Japanese, Korean, etc.). Uses Gemini 2.5 Flash. Also use when asked to detect what language a piece of text is written in.
Phrase-triggered emergency stop system for AI agents. Instantly halts all agent automation when a trigger phrase is detected in session logs, or via manual flag. Use when setting up a safety kill switch, emergency stop, or pause-all-automation mechanism for autonomous agents. Survives restarts via LaunchAgent watchdog.
The CRICD framework for structuring sub-agent task prompts — Context, Relevance, Instruction, Constraints, Demonstration. Produces dramatically better output from any LLM sub-agent. Use when spawning sub-agents, writing task prompts, or structuring complex instructions for AI models.
Formal protocol for draft → critique → revise loops in AI agent workflows. Defines when to use critique loops (money, public publishing, strategy) and when to skip (simple edits, routine coding). Prevents both over-engineering simple tasks and under-reviewing critical ones.
Monitor OpenClaw Gateway health by tailing logs for error patterns — 429 rate limits, auth failures, delivery failures, timeouts. Alert when error rate crosses thresholds. Use when setting up production monitoring for an OpenClaw Gateway deployment, or when a user says "watch the gateway", "monitor gateway errors", "alert me on gateway failures".
A 5-tier dispatch framework for coding tasks in AI agent workflows. Routes tasks from SIMPLE (one-file typo fix) to FULL (multi-day feature build) with appropriate rigor at each level. Prevents over-engineering simple tasks and under-planning complex ones.
| name | song-identifier |
| description | Use when a user sends an audio file and asks "what is this song?", "identify this track", "shazam this", or similar. Accepts any audio format (OGG, MP3, WAV, M4A). Returns title, artist, album, release date, and Spotify/Apple Music links via the AudD API. |
| metadata | {"emoji":"🎵","category":"media","platform":"any"} |
Identify songs from audio files via the AudD music recognition API. Zero dependencies — uses Python stdlib only.
export AUDD_API_TOKEN="your_token_here"
Add to ~/.zshrc or ~/.bashrc to persist.
python3 scripts/identify.py <audio_file_path>
Example:
python3 scripts/identify.py /tmp/clip.ogg
🎵 Song Title
👤 Artist Name
💿 Album Name
📅 2023-05-12
🟢 Spotify: https://open.spotify.com/track/...
🍎 Apple Music: https://music.apple.com/...
Wire into an agent skill dispatcher for WhatsApp triggers like "what's this song?":
import subprocess
result = subprocess.run(
["python3", "scripts/identify.py", audio_path],
capture_output=True, text=True,
env={**os.environ, "AUDD_API_TOKEN": "..."}
)
return result.stdout
scripts/identify.py — Main script. stdlib-only, no requests dependency. Reads AUDD_API_TOKEN from env.