Generate fractal horn geometries as STL meshes and fractal analysis data.
npx skills add https://github.com/toneron2/SFH-OS --skill sfh-gen
Please help me install this Agent Skill. Skill: sfh-gen Source: https://github.com/toneron2/SFH-OS/tree/main/.claude/skills/sfh-gen Command: npx skills add https://github.com/toneron2/SFH-OS --skill sfh-gen
This Skill automates fractal horn geometry generation using space-filling curves and Mandelbrot-inspired expansion, enabling rapid exploration of topology and acoustic optimization without manual trial-and-error.
Use the sfh-gen skill to generate 3 geometry variations with Hilbert, Peano, and Mandelbrot strategies for a 1kHz-20kHz horn. Output will include STL meshes and fractal metrics.
High-intent search queries and answers about installing and using this skill.
Fractal horn geometry generation uses space-filling curves like Hilbert and Mandelbrot expansion to define horn topology across multiple scales. sfh-gen automates this by accepting parameters—order, throat diameter, mouth diameter, and length—and outputs STL meshes and fractal analysis data for acoustic optimization without manual iteration.
Hilbert, Peano, and Mandelbrot curves are space-filling algorithms that define fractal horn topology. They enable rapid exploration of different expansion strategies across scales, allowing designers to compare multiple horn variants and optimize impedance matching for target frequency bands.
Yes. sfh-gen produces STL meshes directly from fractal horn parameters, along with a profile JSON, fractal maps, and geometry metadata. The STL output is ready for visualization, 3D printing, or downstream acoustic validation.
Fractal horn geometry generation applies space-filling curve strategies to explore topology variations that affect impedance. By testing Hilbert, Peano, and Mandelbrot expansion workflows with specified throat and mouth diameters, you can rapidly iterate and compare designs for your target frequency band.
Key inputs include iteration order, throat diameter, mouth diameter, and overall length. These parameters drive the space-filling curve expansion and control horn scale and topology. The Skill outputs STL geometry, fractal metrics, and metadata suitable for analysis and visualization.
No specialized CAD knowledge is required. You provide numeric parameters—order, diameters, and length—and the Skill automates fractal expansion and mesh generation. Output includes both geometry files and fractal analysis data for validation.
toneron2Prepare fractal horn geometries for L-PBF metal additive manufacturing.
toneron2Run boundary element method acoustic simulations on horn geometries.
toneron2Generate 3D renders and acoustic plots for fractal horn designs.
toneron2Orchestrate the SFH-OS 5-phase horn design pipeline from acoustic parameters to verified production.
