Agent-Skills.md

Agent Skills: SciPy Optimization Toolkit

SciPy scientific computing skill for numerical optimization, integration, and signal processing in physics

data-analysisID: a5c-ai/babysitter/scipy-optimization-toolkit

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/physics/skills/scipy-optimization-toolkit

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/domains/science/physics/skills/scipy-optimization-toolkit/SKILL.md

Skill Metadata

Name
scipy-optimization-toolkit
Description
SciPy scientific computing skill for numerical optimization, integration, and signal processing in physics

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