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Formulating LP, MILP and QP problems v1.0.0

Use this resource to turn an optimization problem statement into an LP, MILP or QP formulation

New

  • 331 downloads
  • 134 likes
  • 192 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install lp-milp-qp-formulation

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent identifies the problem type, picks out parameters, decisions, constraints and objective, and asks for confirmation when implicit or optional constraints are ambiguous. It gives no API code. You get a clear mathematical formulation to implement afterwards.

Mostly picked by

Updated November 2, 2026

Card for the “Formulating LP, MILP and QP problems” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: concepts, method and questions to ask
  • evals/evals.json: evaluation cases
  • skill-card.md: skill card

Good fit for

  • You have an optimization statement and do not know how to model it
  • You want to check that a constraint is understood before coding

Not for

    Tags

    • optimization
    • LP
    • MILP
    • formulation

    About

    You say

    “Formulate this 40-team scheduling problem as a MILP before coding it.”

    Card for the “Formulating LP, MILP and QP problems” skill

    Skill published by nvidia under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to turn an optimization problem statement into an LP, MILP or QP formulation
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md5 KB
    • evals/evals.json5.3 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • skill-card.md3.8 KB
    • SKILL.md19.4 KB
    • skill.oms.sig4.5 KB

    Origin and licence

    Listed unmodified

    Author
    nvidia
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/cuopt-numerical-optimization-formulation
    Licence
    Apache-2.0

    Notice

    « cuopt-numerical-optimization-formulation » (nvidia, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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