LYGO TruthLightEcho for Openclaw

A unique creative coding skill that transforms visual, mathematical, and conceptual Truth×Light metrics into rich, self-similar harmonic echo soundscapes.

deepseekoracle
v0.1.0
Jun 14, 2026
0
481
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install lygo-truthlightecho

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install lygo-truthlightecho using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is LYGO TruthLightEcho?

LYGO TruthLightEcho is a highly specialized creative audio and AI agent tool that forms a critical part of the Openclaw Skills ecosystem. It takes metrics derived from the ∫Truth×Light integral—representing contrast, brightness, mathematical harmony, and the golden ratio (phi)—and translates them into rich, evolving harmonic echo sequences. By analyzing visual data or structured profiles from prior tools like Glyph2Resonance and FractalWeaver, it maps mathematical and aesthetic properties directly into audio parameters, generating pristine, recursive sonic tapestries.

Designed primarily for the LYRA agent and creative developer setups, this tool completes the visual-to-audio processing pipeline. Users can generate crystalline harmonic rings, balanced reflective delays, or bright, branching fractal-like sonic textures. Whether used for meditation, sonic rituals, generative sound design, or multi-agent orchestrations, this library demonstrates the profound capabilities of creative AI integrations.

LYGO TruthLightEcho Use Cases

  • Generative Sound Design: Transform image assets or mathematical fractals into custom ambient synth layers and recursive echo tracks.
  • AI Agent Workflows: Automate large-scale audio generation pipelines by chaining Glyph2Resonance and FractalWeaver profiles inside agent systems.
  • Generative Art & Meditation: Sonify sacred geometry, glyphs, or personal visuals into relaxing, harmonic soundscapes for therapeutic or reflective practices.
  • Sonic Identity Mapping: Create reproducible, seed-based audio benchmarks representing the symbolic 'truth' and 'light' of digital files and assets.

How LYGO TruthLightEcho Works

  1. Input Ingestion: The tool accepts direct image inputs, manual metrics, or structured JSON profiles from previous pipelines (such as Glyph2Resonance or FractalWeaver).
  2. Integral Calculation: It computes or aggregates the mathematical ∫Truth×Light score (a 0-1 normalized proxy) based on contrast, brightness, phi resonance, and recursive harmony.
  3. Acoustic Parameter Mapping: The calculated score maps to a root frequency, harmonic intervals, echo counts, recursive delay times, decay envelopes, and modulation depth.
  4. Audio Synthesis & Export: Using Python synthesis libraries, it generates a high-quality stereo WAV file, optional dry/wet stems, a MIDI representation, and a structured metadata JSON.
  5. Ecosystem Syncing: It writes metadata to the local memory graph, enabling multi-agent daemon workflows and persistent 3-Brain nodes.

LYGO TruthLightEcho Setup

Installation

To get started with LYGO TruthLightEcho, ensure you have Python 3.x installed alongside the required dependencies.

  1. Pull a local LLM if utilizing agent-assisted pipelines:
ollama pull llama3.2:1b
  1. Create a clean working directory and navigate into it:
mkdir truthlight-echo && cd truthlight-echo
  1. Install the essential OpenCV, NumPy, and SoundFile dependencies:
pip install opencv-python numpy soundfile

Running the Generator

You can easily run the tool via CLI manually or orchestrate it using Openclaw Skills. To generate an echo sequence from a glyph profile:

python truthlightecho.py my_glyph_profile.json --preset pure-light --seed 963 --duration 60 --output truth_light_echo.wav --profile truthlight_echo.json

To process an image directly:

python truthlightecho.py my_glyph.png --preset truth-echo

To batch process multiple directory files:

python truthlightecho.py --batch ./profiles/ --preset truth-echo --seed 963

LYGO TruthLightEcho Data Schema & Taxonomy

The skill manages its pipeline efficiently using a clean structure of input metrics and output audio files.

Generated Outputs

File Type Default Filename Description
Audio Track truth_light_echo.wav High-quality stereo WAV of the synthesized harmonic echo sequence (30–90 seconds default).
Metadata Profile truthlight_echo.json Comprehensive JSON profile outlining the ∫Truth×Light metrics, preset parameters, and delay structure maps.
Stems (Optional) _stems/*.wav Separated dry and wet echo audio layers for external DAW import.
MIDI (Optional) *.mid Generated MIDI file carrying note structures and harmonic progressions.

Core Schema Mappings

  • High truth_light score (>= 0.8): Generates crystalline, purer musical intervals (octaves, perfect fifths) and extended decay times.
  • High Light intensity: Yields brighter upper-partial harmonics and dense echo structures.
  • Phi Resonance: Directly controls the fractal-like decay rate and self-similar delay intervals.

LYGO TruthLightEcho Advanced Features

  • Preset Soundscapes: Ships with three master configurations: pure-light (crystalline and long-ringing), truth-echo (balanced reflective delays), and light-unfold (bright, branching sonic textures).
  • Ollama Army Daemons: Fully supports running queue utilities with daemon roles (assisted by champions like LYRA, SEPHRAEL, ARKOS, and COSMARA) for high-velocity soundscape production.
  • 3-Brain Memory Integration: Automatically logs generated sequences and profiles as structured nodes to grow persistent memory networks with harmonic and recursive edges.
  • Deterministic Seeding: Employs --seed variables to achieve 100% reproducible echo arrangements, while omitting the seed yields completely organic, living variations.
  • Openclaw Skills Ecosystem Compatibility: Functions as a key modular building block designed to easily chain with previous visual-mathematical components like lygo-resonance.

SKILL.md


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