用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/NVIDIA/cuopt-examples --skill optimization-mode-router命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | optimization-mode-router |
| version | 26.06.01 |
| description | Choose fast direct-to-cuOpt solve versus replayable or auditable model artifact mode. |
| license | Apache-2.0 |
| metadata | {"author":"NVIDIA cuOpt Team","tags":["cuopt","nemoclaw","orchestration"]} |
| origin | skill-evolution |
Use this skill when a user asks a question that may be answered by solving an optimization problem from uploaded or provided data, and you need to decide whether to:
This skill is about mode selection, not full formulation. Its purpose is to keep the common path fast while surfacing stronger reproducibility only when it is actually useful.
Read this skill when all of the following are true:
cuopt-model-mapper without asking fast vs replayable unless the user
signals audit/export/rerun.cuopt-sandbox gates —
never a custom greedy/heuristic builder as the solve path.Use Fast mode when the user appears to want the quickest route to an answer.
Behavior:
Use this mode when the user wants reuse, traceability, or formal review.
Behavior:
Ask the user to choose between Fast mode and Replayable/Auditable mode if any of the following are true:
The user explicitly asks for any of these:
The request appears operational or recurring rather than one-off:
The user indicates a need for traceability or justification:
Do not ask the mode-selection question when the request is clearly:
In those cases, proceed in Fast mode unless the user later asks for replayability, audit, export, or model persistence.
Preferred short form:
Should I treat this as a one-off solve, or make it replayable/auditable too?
Alternative longer form:
I can do this in two ways: Fast mode for the quickest answer, or Replayable mode that also keeps a structured spec for reruns, audit, and reuse. Which do you want?
After selecting a mode, hand off based on problem type:
If the request is LP / MILP:
numerical-optimization-formulationcuopt-numerical-optimization-api-python (or
cuopt-numerical-optimization-api-cli for MPS inputs)cuopt-sandbox (gates + selected gRPC path)
before any LP/MILP solveIf the request is QP:
numerical-optimization-formulationcuopt-numerical-optimization-api-pythoncuopt-sandbox (gates + selected gRPC path)
before any QP solveIf the request is routing (VRP / TSP / PDP):
routing-formulationcuopt-routing-api-pythoncuopt-sandbox (gates + REST)
before any routing solveIf the user is asking about server usage or deployment rather than solving a model directly:
cuopt-server-common or cuopt-server-api-python as appropriateIn all cuOpt user tasks:
cuopt-user-rules