Agent-Skills.md

Agent Skills: Nonlinear Optimization Solver

Solve general nonlinear optimization problems

optimizationID: a5c-ai/babysitter/nonlinear-optimization-solver

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/mathematics/skills/nonlinear-optimization-solver

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plugins/babysitter/skills/babysit/process/specializations/domains/science/mathematics/skills/nonlinear-optimization-solver/SKILL.md

Skill Metadata

Name
nonlinear-optimization-solver
Description
Solve general nonlinear optimization problems

Nonlinear Optimization Solver

Purpose

Provides capabilities for solving general nonlinear optimization problems including constrained and unconstrained formulations.

Capabilities

  • Gradient-based methods (BFGS, L-BFGS, CG)
  • Newton and quasi-Newton methods
  • Interior point methods
  • Sequential quadratic programming (SQP)
  • Global optimization (basin-hopping, differential evolution)
  • Constraint handling

Usage Guidelines

  1. Starting Point: Provide good initial guesses
  2. Gradient Information: Supply gradients when available
  3. Global vs Local: Choose global methods for multimodal problems
  4. Constraint Handling: Use appropriate constraint formulations

Tools/Libraries

  • IPOPT
  • KNITRO
  • NLopt
  • scipy.optimize