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Cuopt Numerical Optimization API Python

Category: Engineering  ·  Sub-category: engineering-misc  ·  Last updated:
lang:python
Solve Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Quadratic Programming (QP, beta) with the Python API. Use when the user asks about optimization with linear or quadratic objectives, linear constraints, integer variables, scheduling, resource allocation, facility location, production planning, portfolio optimization, or least squares.
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From the source SKILL.md

Model and solve LP, MILP, and QP problems using NVIDIA cuOpt's GPU-accelerated solver. The Python API surface (Problem, SolverSettings, solve) is shared across all three problem classes — only the objective form and a few rules change.

What this skill does

Cuopt Numerical Optimization API Python is a community-contributed Claude Code skill in the engineering-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/cuopt-numerical-optimization-api-python/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the user asks about optimization with linear or quadratic objectives, linear constraints, integer variables, scheduling, resource allocation, facility location, production planning, portfolio optimization, or least squares.

Who uses this skill

The Cuopt Numerical Optimization API Python Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 158,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/cuopt-numerical-optimization-api-python
curl -L https://claudskills.com/skills/cuopt-numerical-optimization-api-python/SKILL.md \
  -o ~/.claude/skills/cuopt-numerical-optimization-api-python/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/cuopt-numerical-optimization-api-python/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/cuopt-numerical-optimization-api-python/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\cuopt-numerical-optimization-api-python\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Frequently asked questions

How do I install the Cuopt Numerical Optimization API Python Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/cuopt-numerical-optimization-api-python/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Cuopt Numerical Optimization API Python skill do?
Solve Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Quadratic Programming (QP, beta) with the Python API. Use when the user asks about optimization with linear or quadratic objectives, linear constraints, integer variables, scheduling, resource allocation, facility location, production planning, portfolio optimization, or least squares.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Cuopt Numerical Optimization API Python skill?
Use Cuopt Numerical Optimization API Python when your Claude Code task falls under the Engineering category — specifically in the engineering misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Cuopt Numerical Optimization API Python" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Cuopt Numerical Optimization API Python skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Cuopt Numerical Optimization API Python is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
NVIDIA. (2026). Cuopt Numerical Optimization API Python [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/cuopt-numerical-optimization-api-python/
BibTeX
@misc{cuopt-numerical-optimization-api-python-2026,
  author    = {NVIDIA},
  title     = {Cuopt Numerical Optimization API Python [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/cuopt-numerical-optimization-api-python/}
}

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