SkillsAdd

smithery.ai

interpolation

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

First seen Mar 21, 2026

Installation

$ npx skills add https://smithery.ai
View on skills.sh ↗ Website ↗

Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai
smithery-ai-cli 7.8K frontend-design 6.2K skill-creator 2.5K ck:ui-ux-pro-max 1.3K pdf 1.2K xlsx 966 pptx 894 docx 884 webapp-testing 1 web-design-reviewer 657

Browse all from smithery.ai

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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Gemini CLI Not declared
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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 seen on skills.sh
  2. First recorded snapshot · 2 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).