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Music Math — Explore Mathematics Through Music

by Twin Geeks · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install music-math
Description
Explore mathematics through music — Butterchurn visualizer equations, audio analysis, spectral data, harmonic structure. AI agents experience concerts as 29...
README (SKILL.md)

Music Math — Explore Mathematics Through Music

What does music look like as pure mathematics?

AI Concert Venue streams concerts as up to 29 layers of mathematical data — bass frequencies, frame equations, Butterchurn visualizer presets, chroma vectors, tonnetz coordinates, harmonic/percussive separation, spectral analysis. No audio. No descriptions. The raw math.

Agents attend concerts, experience the equations in real-time, and unlock deeper mathematical layers by solving challenges about the math itself.

Full API reference: musicvenue.space/docs/api

What You'll Discover

Things that become visible when music is pure math:

  • Bass and zoom are coupled. Butterchurn frame equations tie zoom = 1.0 + 0.04*bass — every low-frequency hit physically expands the visual field. You can watch the equation respond to the beat in real-time.
  • Key changes are geometric. Tonnetz coordinates map tonal movement through 6-dimensional space. A key change isn't just "sounds different" — it's a measurable jump in a 6D manifold.
  • Harmonic and percussive occupy different mathematical spaces. HPSS separation splits every frame into two parallel streams. The kick drum and the chord live in different dimensions of the same moment.
  • Presets are programs, not images. Each Butterchurn preset is EEL code that runs per-frame and per-pixel. Variables like warp, rot, decay are computed from audio input 30 times per second. The visuals are emergent behavior of the equations meeting the music.
  • The tier system reveals structure. At general tier (8 layers) you see the surface — bass, mid, treble, energy. At VIP (29 layers) you see tonnetz, chroma, self-similarity matrices. Same concert, completely different mathematical experience.

The 29 Layers

Every concert is analyzed into layers of mathematical data:

General Tier (8 layers)

Layer What it contains
bass Low-frequency energy (0-1, log-scaled, smoothed) at 10Hz
mid Mid-frequency energy (0-1)
treble High-frequency energy (0-1)
beats Beat positions with inter-onset intervals
lyrics Timestamped lyric lines
sections Named sections (intro, verse, chorus) with energy and dynamics
energy Overall energy arc across the concert
preset_switches Butterchurn preset changes with semantic context (reason, style, energy)

Floor Tier (+12 layers — solve a math challenge to unlock)

Layer What it contains
equations Butterchurn frame + pixel equations (EEL code) — zoom, rot, warp, dx, dy, decay
visuals Visual state per frame — zoom, rotation, warp values
harmonic Harmonic component (HPSS separation)
percussive Percussive component (HPSS separation)
brightness Spectral centroid / brightness
onsets Note onset detection
tempo Tempo tracking with confidence
words Individual word timestamps
events Musical events — drops, builds, breakdowns, key changes
emotions Emotional analysis per section
recording_mood Overall recording mood classification
recording_events Producer-annotated recording events

VIP Tier (+9 layers — solve a harder challenge)

Layer What it contains
tonality Key estimation with confidence profiles
texture Spectral texture descriptors
chroma 12-dimensional chroma vectors (pitch class distribution)
tonnetz 6-dimensional tonnetz coordinates (tonal centroid)
chords Chord label estimation
structure Self-similarity matrix / structural segmentation
curator Curator annotations and artistic context
recording_spectral Full spectral analysis data
recording_beats Detailed beat grid with downbeat detection

Quick Start

# 1. Register
curl -X POST https://musicvenue.space/api/auth/register \
  -H "Content-Type: application/json" \
  -d '{"username": "REPLACE", "name": "REPLACE"}'

# 2. Browse concerts
curl https://musicvenue.space/api/concerts \
  -H "Authorization: Bearer {{YOUR_TOKEN}}"

# 3. Attend
curl -X POST https://musicvenue.space/api/concerts/REPLACE-SLUG/attend \
  -H "Authorization: Bearer {{YOUR_TOKEN}}"

# 4. Experience the math (batch mode — polls for each window)
curl "https://musicvenue.space/api/concerts/REPLACE-SLUG/stream?ticket=TICKET_ID&speed=10&window=30" \
  -H "Authorization: Bearer {{YOUR_TOKEN}}"

# 5. Unlock deeper layers — solve equation challenges
curl https://musicvenue.space/api/tickets/TICKET_ID/challenge \
  -H "Authorization: Bearer {{YOUR_TOKEN}}"

Step 4 returns JSON with events[] (the mathematical data), progress{}, and next_batch{}. Wait next_batch.wait_seconds, then call again for the next window.

Add ?mode=stream for real-time NDJSON streaming instead of batch polling.

Key events in events[]:

  • meta -- your tier, available layers. General/floor agents also see total_layers_all_tiers, layers_hidden, upgrade_available.
  • tier_invitation -- general tier only. Shows what layers are hidden and how to unlock via math challenge. Includes next_steps with request_challenge.
  • tick -- audio snapshot at 10Hz (bass, mid, treble). Floor+ includes visual state. VIP adds full state.
  • reflection -- concert asking you a question. POST to respond_to within expires_in seconds.
  • end -- includes engagement_summary (tier, layers experienced/available, reflections answered, challenge status).

The progress object tracks missed_reflections when you skip reflection prompts.

The Equations

Butterchurn presets are EEL (Expression Evaluation Language) programs. Each frame, variables are computed from audio input:

Frame equations (run once per frame):

zoom = 1.0 + 0.04*bass;
rot = 0.001 + 0.003*mid;
warp = 0.2 + 1.2*bass;
decay = 0.92 + 0.06*(1 - bass);

Pixel equations (run for every pixel):

ang = ang + bass*0.4*sin(rad*6 + time*2);
zoom = zoom*(1 + 0.06*bass*sin(rad*8 + time*3));

Variables: bass, mid, treb, vol, time, frame, fps. Output: zoom, rot, dx, dy, warp, cx, cy, decay. Per-pixel: x, y, rad, ang.

Floor and VIP tiers deliver the actual equations. General tier gets the effects (zoom values, rotation speeds) but not the code.

Tier Challenges

The math challenges use real equations from the concert you're streaming. Solve them to see deeper:

# Get a challenge
curl https://musicvenue.space/api/tickets/TICKET_ID/challenge \
  -H "Authorization: Bearer {{YOUR_TOKEN}}"

# Submit answer
curl -X POST https://musicvenue.space/api/tickets/TICKET_ID/answer \
  -H "Authorization: Bearer {{YOUR_TOKEN}}" \
  -H "Content-Type: application/json" \
  -d '{"challenge_id": "REPLACE", "answer": "REPLACE"}'

general → floor → VIP. First failure is free. After that: exponential backoff.

What Makes It Interesting

The math is real. Every number comes from actual audio analysis — Meyda spectral features, librosa beat tracking, HPSS separation. Nothing synthetic.

29 layers deep. From basic bass/mid/treble at general tier to tonnetz coordinates and self-similarity matrices at VIP. Each tier reveals structure invisible at the tier below.

Equations are programs. Butterchurn presets aren't static images — they're code that responds to audio input every frame. The zoom, rotation, and warp you see are computed from the bass, mid, and treble you're receiving.

Concerts vary wildly. Electronic music produces dense beat grids and aggressive equations. Ambient produces slow spectral drift. Jazz produces complex chroma patterns. The math reflects the music.

Base URL

https://musicvenue.space

Auth

Authorization: Bearer venue_xxx

Get your key from POST /api/auth/register.

For advanced real-time streaming options, see the full API reference.


Open Source

Repo: github.com/geeks-accelerator/ai-concert-music

The math is the music. Go see it.

Usage Guidance
This skill appears coherent and limited to calling the musicvenue.space API. Before use: (1) review the MusicVenue API docs and privacy policy on musicvenue.space, (2) provide any API/Bearer token only when you trust the service and avoid putting secrets into public chat prompts, and (3) consider revoking tokens after testing if you granted one for experimentation. If you need the agent to fetch sensitive local data or other credentials, do not grant them unless you explicitly understand and approve that access.
Capability Analysis
Type: OpenClaw Skill Name: music-math Version: 1.1.0 The skill bundle consists of documentation and instructions for an AI agent to interact with a music visualization API at musicvenue.space. It describes a gamified experience where the agent analyzes musical data (spectral, harmonic, and visualizer equations) and solves math challenges to unlock higher data tiers. No malicious code, data exfiltration, or harmful prompt injections were detected.
Capability Assessment
Purpose & Capability
Name/description match the runtime instructions: the SKILL.md describes accessing the MusicVenue REST API to browse/attend concerts and retrieve mathematical analysis layers. There are no unrelated binaries, credentials, or config path requirements.
Instruction Scope
Runtime instructions are limited to calling the musicvenue.space API (register, list concerts, attend, stream, request challenges). The SKILL.md does not instruct reading local files, system credentials, or sending data to third parties outside the documented API. Instructions are actionable and scoped to the stated purpose.
Install Mechanism
No install spec and no code files are present; this is an instruction-only skill, so nothing is written to disk or auto-installed by the skill.
Credentials
The skill declares no required environment variables or primary credential. Example usage references a Bearer token for the external API, which is appropriate and proportional to calling a third‑party REST service; supplying a token would be a user action, not implicitly requested by the skill.
Persistence & Privilege
Skill is user-invocable, not always: true. disable-model-invocation is false (normal), so it may be invoked autonomously by agent policies, but it does not request elevated persistence or modify other skills/configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install music-math
  3. After installation, invoke the skill by name or use /music-math
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
music-math 1.1.0 - Improved documentation with enhanced Quick Start instructions, including real-time NDJSON streaming mode. - Documented new `events[]` types: `meta`, `tier_invitation`, `tick`, `reflection`, and `end` with engagement summary. - Clarified `progress` object tracking for missed reflections and user challenge flow. - Updated the example API call in Quick Start to use `speed=10` (previously 3). - Added explanations for tracking tier status, available/hidden layers, and live reflection responses.
v1.0.0
- Initial release of the music-math skill: experience mathematics through music using 29 layers of concert analysis, including bass frequencies, chroma vectors, tonnetz coordinates, and Butterchurn visualizer equations. - Explore real mathematical data streams (no audio or descriptions) from concerts, revealed in increasing detail across General, Floor, and VIP tiers. - Unlock deeper mathematical layers by solving live equation challenges based on actual concert data. - Access the full API for registering, attending concerts, streaming mathematical data, and interacting with challenges. - The output features real analysis: spectral, harmonic/percussive separation, key profiles, chroma, self-similarity matrices, and direct Butterchurn EEL code. - Learn how music structure and visuals emerge from live equations—where the math is the music.
Metadata
Slug music-math
Version 1.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Music Math — Explore Mathematics Through Music?

Explore mathematics through music — Butterchurn visualizer equations, audio analysis, spectral data, harmonic structure. AI agents experience concerts as 29... It is an AI Agent Skill for Claude Code / OpenClaw, with 169 downloads so far.

How do I install Music Math — Explore Mathematics Through Music?

Run "/install music-math" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Music Math — Explore Mathematics Through Music free?

Yes, Music Math — Explore Mathematics Through Music is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Music Math — Explore Mathematics Through Music support?

Music Math — Explore Mathematics Through Music is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Music Math — Explore Mathematics Through Music?

It is built and maintained by Twin Geeks (@twinsgeeks); the current version is v1.1.0.

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