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toneron2 AI Skills

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Browse published AI skills maintained by toneron2. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

13

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

13 skills

Browse skills

GitHub

sfh-viz

toneron2

Generate rich visualizations for fractal horn design. Use when rendering 3D geometry, creating acoustic plots, animating simulations, building dashboards, or producing publication-quality figures. Central visua...

GitHub

sfh-gen

toneron2

Generate fractal horn geometries using space-filling curves and Mandelbrot expansion. Use when designing horn topology, creating geometry variations, or exploring fractal approaches for acoustic optimization. P...

GitHub

sfh-mfg

toneron2

Prepare horn geometries for metal additive manufacturing (L-PBF/SLM). Use when analyzing printability, optimizing orientation, generating supports, preparing build files, or estimating costs. Specializes in com...

GitHub

sfh-sim

toneron2

Run acoustic simulations on horn geometries using BEM analysis. Use when evaluating horn performance, analyzing impedance curves, calculating polar patterns, or scoring geometry variations. Returns acoustic met...

GitHub

sfh-qa

toneron2

Verify manufactured horns against design predictions. Use when running post-print inspection, acoustic measurements, comparing measured vs simulated performance, or generating verification reports. Determines i...

GitHub

sfh-conductor

toneron2

Orchestrate the SFH-OS fractal horn design pipeline. Use when the user wants to design a horn, run the full pipeline, manage iterations, or resolve conflicts between acoustic and manufacturing requirements. Thi...

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.