JuliaSmoothOptimizersOfficial·5 Agent Skills Included

OptimizationProblems.jl

Review and validate Julia optimization test problems

Audits nonlinear optimization test problems written in Julia for correctness, consistency, and completeness. Checks metadata files, JuMP models, and automatic differentiation implementations against strict test-suite rules. Finds BibTeX citations for problem references and flags type-stability and allocation issues automatically. Produces clear error, warning, and info reports so contributors fix problems before submission.

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npx skills add JuliaSmoothOptimizers/OptimizationProblems.jl --all -g -y

Available:

Explains the repository's three-file problem structure, metadata rules, and testing conventions so the agent can correctly review and validate optimization problems.

All Skills in This Repository (5)

Pure Emerald Level Indicators

📦 In Repo

JuliaSmoothOptimizers

review-meta

Review Julia Meta files for correctness and consistency with problem implementations.

Official

Advanced

📦 In Repo

JuliaSmoothOptimizers

review-adnlpproblems

Verify ADNLPModel implementations for correctness, type stability, and allocations.

Official

Advanced

📦 In Repo

JuliaSmoothOptimizers

review-problem

Review optimization problem files for consistency and correctness.

Official

Advanced

📦 In Repo

JuliaSmoothOptimizers

find-bib

Construct BibTeX references for OptimizationProblems.jl meta files from DOIs or text.

Official

Intermediate

📦 In Repo

JuliaSmoothOptimizers

review-purejump

Review PureJuMP files for coding standards and ADNLPProblems compatibility.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install OptimizationProblems.jl skills?▼

Run `npx skills add JuliaSmoothOptimizers/OptimizationProblems.jl --all -g -y` in your terminal to install all review skills globally.

What is OptimizationProblems.jl used for?▼

It is a Julia package with over 680 nonlinear programming test problems used to benchmark and develop optimization solvers.

How do I review a new optimization problem?▼

Use the review-problem skill with the problem name, and it audits the metadata, JuMP model, and ADNLP implementation files, reporting errors, warnings, and info.

Can it find citations for optimization problems?▼

Yes. The find-bib skill searches for a DOI online, fetches the BibTeX entry, and formats it as a Julia raw string ready to paste into the metadata file.

Do I need Julia expertise to use these skills?▼

Basic familiarity helps, but the skills run the Julia checks automatically and explain each finding in plain language with the expected fix.