cuopt-numerical-optimization-api
LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
npx skills add NVIDIA/skills --skill cuopt-numerical-optimization-api --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# cuOpt Numerical Optimization API Model and solve LP, MILP, and QP problems using NVIDIA cuOpt's GPU-accelerated solver. ## Interface Selection Choose the reference for the user's interface: | Interface | When to use | Reference | |-----------|-------------|-----------| | **Python** | User is writing Python code | [references/python_api.md](references/python_api.md) | | **C / C++** | User is embe
What does the cuopt-numerical-optimization-api skill do?
LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
How do I install it?
Run `npx skills add NVIDIA/skills --skill cuopt-numerical-optimization-api --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.