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Choose and compute an interpolation v1.0.0
Use this resource to choose and compute an interpolation from measured points
New
- 342 downloads
- 145 likes
- 198 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install numerical-interpolation-methodsWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent picks the method according to the number of points, their spacing, the noise and the derivatives wanted at the ends, then implements it with SciPy and SymPy. You get an interpolating curve and a justified choice.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: decision tree (number of points, noise, derivatives)
- SKILL.md: SciPy commands (CubicSpline, bspline) and SymPy (Lagrange)
Good fit for
- You have a few measured points to connect
- Your data is noisy and needs smoothing
Not for
Tags
- interpolation
- spline
- scipy
- numerical methods
About
You say
“Interpolate these five points with a natural cubic spline.”
Skill published by parcadei under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to choose and compute an interpolation from measured points
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md4 KB
Origin and licence
Listed unmodified
- Author
- parcadei
- Source
- github.com/parcadei/continuous-claude-v3/tree/d07ff4b06b62f43771bc0c927d0211b734d6149e/.claude/skills/math/numerical-methods/interpolation
- Licence
- MIT
Notice
« interpolation » (parcadei, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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