cuopt-numerical-optimization-formulation SKILL.md skillA

cuopt-numerical-optimization-formulation from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/skills/cuopt-numerical-optimization-formulation@v26.10.00

Pins v26.10.00 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/skills
Path
skills/cuopt-numerical-optimization-formulation/SKILL.md
Versions recorded
5
Latest version
v26.10.00, committed Aug 7, 2026
First version recorded
May 29, 2026
Size
19,584 bytes
Repository stars
3,871
License
Apache-2.0

LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Numerical Optimization Formulation

Concepts and workflow for going from a problem description to a clear formulation across LP, MILP, and QP. No API code here.

## What is LP / MILP / QP

- **LP**: Linear objective, linear constraints, continuous variables.
- **MILP**: Same as LP plus some integer or binary variables (e.g., scheduling, facility location, selection).
- **QP**: Quadratic objective (e.g., x², x·y terms — portfolio variance, least squares), linear constraints. **QP support in cuOpt is currently in beta.**

## Identifying problem type

| Property | LP | MILP | QP |
|---|---|---|---|
| Objective | Linear | Linear | Quadratic (xᵀQx + cᵀx) |
| Constraints | Linear | Linear | Linear + convex quadratic (inequality only) via second-order cones |
| Variables | Continuous | Mixed: continuous + integer/binary | Continuous |
| Sense | min or max | min or max | **minimize only** (negate to max) |
| Duals / sensitivity | Dual values + reduced costs | **None** (integer optima) | Dual values + reduced costs |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/cuopt-numerical-optimization-formulation@sha256:349af0dc4e57a34b

The line at the top of this page pins the label v26.10.00, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_syuhtz6ac3h74epq.svg)](https://markdownregistry.com/a/art_syuhtz6ac3h74epq)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between May 29, 2026 and Aug 7, 2026, about one every 17 days.

versioncommittedcommitsizeaudit
v26.10.00 latest2026-08-07 e0cd22d 19,584 BA view · diff
v26.08.002026-06-29 e37c0a0 19,583 BA view · diff
v26.08.002026-06-24 78532c0 19,582 BA view · diff
v26.08.002026-06-22 9e9a108 19,329 BA view · diff
v26.08.002026-05-29 1ba3403 18,676 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (19584 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_syuhtz6ac3h74epq
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/cuopt-numerical-optimization-formulation
GET https://markdownregistry.com/api/v1/blob/349af0dc4e57a34b40eb27734229c3c2298ad4d9b91b5489e6191ba2b2aaa36f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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