Agent skill · Code Review & Quality

review-music

Analyze audio files to extract musical features (BPM, key, chords, timbre, dynamics) and generate structured reviews with HMT taxonomy mapping for Horus persona. Uses MIR tools (madmom, essentia, librosa) + LLM chain-of-thought reasoning.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill review-music --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Allowed tools: -Bash-Python
Path: skills/analysis/review-music/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Review Music Skill Analyze audio files to extract musical features and generate structured reviews with Horus Music Taxonomy (HMT) mapping. ## Quick Start ```bash cd .pi/skills/review-music # Analyze a local audio file ./run.sh analyze path/to/song.mp3 # Analyze from YouTube URL ./run.sh analyze --youtube "https://youtube.com/watch?v=dQw4w9WgXcQ" # Extract specific features only ./run.sh features path/to/song.mp3 --bpm --key --chords # Generate full review with HMT taxonomy ./run.sh review path/to/song.mp3 --sync-memory # Batch analyze directory ./run.sh batch ./music_folder --output reviews.jsonl ``` ## Architecture ``` ┌─────────────────────────────────────────────────────────────────┐ │ review-music Pipeline │ ├─────────────────────────────────────────────────────────────────┤ │ Input: Audio file (mp3/wav/flac) or YouTube URL │ ├─────────────────────────────────────────────────────────────────┤ │ │ │ Stage 1: Feature Extraction (MIR Tools) │ │ ├── madmom → beat positions, tempo/BPM, downbeats │ │ ├── essentia → key, mode, loudness, dynamics │ │ ├── librosa → MFCC (timbre), chromagram, spectral features │ │ ├── Chordino/autochord → chord progression, changes │ │ └── Whisper → l

What's inside
Steps it walks through
  1. Quick Start
  2. Architecture
  3. Commands
  4. Analyze
  5. Features
  6. Review
  7. Batch
  8. Feature Extraction
  9. Rhythm & Tempo (madmom)
  10. Harmony (essentia + Chordino)
  11. Timbre (librosa)
  12. Dynamics (essentia)
  13. Lyrics (Whisper)
  14. HMT Bridge Mapping
Ships with 1 file
  • metadata.json
Commands it runs
cd .pi/skills/review-music
Analyze a local audio file
Analyze from YouTube URL
Extract specific features only
Generate full review with HMT taxonomy
Batch analyze directory
Review syncs automatically with --sync-memory
More from claude-skill-registry
All skills →
descriptive-statisticsSummarizing and visualizing data through measures of center, spread, shape, and position. Covers…Data & Analyticsperplexity-researcher-reasoning-proHighest level of research and reasoning capabilities for complex decision-making with significant…OtherretroBrutally honest engineering retrospective. Analyzes git history for what actually happened — not…Data & AnalyticsanalyzeUniversal multi-perspective analyzer for any topic, file, idea, or decision. Extract key points…Otherarize-prompt-optimizationINVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data…Data & Analyticscellxgene-contextGuide for integrating CellxGene Census single-cell data with ENCODE bulk experiments. Use when…Data & Analytics
About this skill
What does the review-music skill do?

Analyze audio files to extract musical features (BPM, key, chords, timbre, dynamics) and generate structured reviews with HMT taxonomy mapping for Horus persona. Uses MIR tools (madmom, essentia, librosa) + LLM chain-of-thought reasoning.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill review-music --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going
All skills →
The full catalog, by category and by tool.
Open Source Radar →
The repositories these skills come from, watched daily.
The people behind them →
Makers and builders across the ecosystem.