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sverzijl AI Skills

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Browse published AI skills maintained by sverzijl. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

4

Repository stars across indexed skills

4

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

4 skills

Browse skills

GitHub

mip-modeling-expert

sverzijl

Use when formulating mixed integer programming (MIP) models, handling discontinuous variables, modeling logical constraints (either-or, conditional), or linearizing nonlinear terms

GitHub

streamlit

sverzijl

When working with Streamlit web apps, data dashboards, ML/AI app UIs, interactive Python visualizations, or building data science applications with Python

GitHub

pyomo

sverzijl

Expert in Pyomo mathematical optimization modeling in Python - use for optimization problems, linear/nonlinear programming, constraint programming, and dynamic optimization

GitHub

highs

sverzijl

High Performance Optimization Software for solving linear programming (LP), mixed integer linear programming (MILP), and quadratic programming (QP) problems

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.