SkillsAdd

smithery/yonesuke

interpolation

Techniques for 1D and 2D data interpolation using SciPy (CPU) and JAX/Interpax (GPU/Differentiable).

Installation

$ npx skills add smithery/yonesuke --skill interpolation
View on skills.sh ↗ Website ↗

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npx skills add smithery/yonesuke
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 666 B
  • docs SUMMARY.md 121 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Interpolation Skill

Connect the dots. Choose SciPy for standard usage, JAX for gradient-based optimization.

Contents

  • [Examples](examples.md)

- Cubic Splines, PCHIP, Regular Grids.

  • [Reference](reference.md)

- Theoretical background on splines and grid methods.

Quick Decision Tree

  1. Standard/CPU? -> SciPy (CubicSpline, RegularGridInterpolator).
  2. Differentiable/GPU? -> Interpax (interpax.interp1d).
  3. Monotonicity Important? -> Use PCHIP (SciPy) or cubic2 (Interpax).