agentsclimarketplace
Sign in

Scipy optimization toolkit

Skill a5c-ai/babysitter/library/specializations/domains/science/physics/skills/scipy-optimization-toolkit

SciPy scientific computing skill for numerical optimization, integration, and signal processing in physicsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill scipy-optimization-toolkit

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 163 tokens by cl100k_base, as published. Nobody here has run it

SciPy Optimization Toolkit

Purpose

Provides expert guidance on SciPy for scientific computing in physics, including optimization, integration, and signal processing.

Capabilities

  • Nonlinear least squares fitting
  • Global optimization methods
  • Numerical integration (quadrature)
  • ODE/PDE solvers
  • Signal processing (FFT, filtering)
  • Sparse matrix operations

Usage Guidelines

  1. Optimization: Use appropriate optimizer for the problem type
  2. Fitting: Apply nonlinear least squares for data fitting
  3. Integration: Choose proper quadrature methods
  4. ODEs: Solve differential equations with adaptive solvers
  5. Signal Processing: Apply FFT and filtering techniques

Tools/Libraries

  • SciPy
  • NumPy
  • lmfit

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.