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Merge branch 'release/26.04' into setppc-presolve
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‎.claude-plugin/marketplace.json‎

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{
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"name": "nvidia-cuopt-skills",
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"owner": {
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"name": "NVIDIA"
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},
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"metadata": {
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"description": "Agent skills for NVIDIA cuOpt: routing (VRP, TSP, PDP), LP/MILP/QP, installation (Python/C/developer), and REST server.",
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"version": "26.04.00"
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},
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"plugins": [
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{
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"name": "cuopt-user-rules",
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"source": "./skills/cuopt-user-rules",
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"skills": "./",
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"description": "Base behavior rules for using NVIDIA cuOpt. Read first when helping users with cuOpt (routing, LP/MILP, QP, installation, server)."
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},
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{
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"name": "cuopt-developer",
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"source": "./skills/cuopt-developer",
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"skills": "./",
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"description": "Contribute to NVIDIA cuOpt codebase including C++/CUDA, Python, server, docs, and CI. Use when the user wants to modify solver internals, add features, submit PRs, or understand the codebase architecture."
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},
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{
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"name": "cuopt-installation-common",
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"source": "./skills/cuopt-installation-common",
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"skills": "./",
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"description": "Install cuOpt — system and environment requirements only. Domain concepts; no install commands or interface guidance."
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},
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{
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"name": "cuopt-installation-api-python",
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"source": "./skills/cuopt-installation-api-python",
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"skills": "./",
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"description": "Install cuOpt for Python — pip, conda, Docker, verification. Use when the user is installing or verifying the Python API."
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},
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{
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"name": "cuopt-installation-api-c",
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"source": "./skills/cuopt-installation-api-c",
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"skills": "./",
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"description": "Install cuOpt for C — conda, locate lib/headers, verification. Use when the user is installing or verifying the C API."
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},
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{
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"name": "cuopt-installation-developer",
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"source": "./skills/cuopt-installation-developer",
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"skills": "./",
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"description": "Developer installation — build cuOpt from source, run tests. Use when the user wants to set up a dev environment to contribute or modify cuOpt."
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},
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{
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"name": "lp-milp-formulation",
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"source": "./skills/lp-milp-formulation",
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"skills": "./",
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"description": "LP/MILP concepts and going from problem text to formulation. What LP/MILP are, required formulation questions, typical modeling elements, and how to parse problem statements."
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},
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{
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"name": "cuopt-lp-milp-api-python",
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"source": "./skills/cuopt-lp-milp-api-python",
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"skills": "./",
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"description": "Solve LP and MILP with the Python API. Use when the user asks about optimization with linear constraints, integer variables, scheduling, resource allocation, facility location, or production planning."
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},
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{
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"name": "cuopt-lp-milp-api-c",
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"source": "./skills/cuopt-lp-milp-api-c",
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"skills": "./",
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"description": "LP and MILP with cuOpt — C API only. Use when the user is embedding LP/MILP in C/C++."
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},
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{
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"name": "cuopt-lp-milp-api-cli",
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"source": "./skills/cuopt-lp-milp-api-cli",
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"skills": "./",
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"description": "LP and MILP with cuOpt — CLI only (MPS files, cuopt_cli). Use when the user is solving from MPS via command line."
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},
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{
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"name": "routing-formulation",
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"source": "./skills/routing-formulation",
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"skills": "./",
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"description": "Vehicle routing (VRP, TSP, PDP) — problem types and data requirements. Domain concepts; no API or interface."
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},
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{
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"name": "cuopt-routing-api-python",
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"source": "./skills/cuopt-routing-api-python",
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"skills": "./",
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"description": "Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python."
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},
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{
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"name": "qp-formulation",
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"source": "./skills/qp-formulation",
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"skills": "./",
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"description": "Quadratic Programming (QP) — problem form and constraints. Domain concepts; no API or interface. QP is beta."
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},
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{
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"name": "cuopt-qp-api-python",
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"source": "./skills/cuopt-qp-api-python",
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"skills": "./",
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"description": "Quadratic Programming (QP) with cuOpt — Python API only (beta). Use when the user is building or solving QP in Python."
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},
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{
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"name": "cuopt-qp-api-c",
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"source": "./skills/cuopt-qp-api-c",
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"skills": "./",
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"description": "Quadratic Programming (QP) with cuOpt — C API. Use when the user is embedding QP in C/C++."
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},
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{
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"name": "cuopt-qp-api-cli",
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"source": "./skills/cuopt-qp-api-cli",
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"skills": "./",
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"description": "QP with cuOpt — CLI (e.g. cuopt_cli with QP-capable input). Use when the user is solving QP from the command line."
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},
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{
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"name": "cuopt-server-common",
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"source": "./skills/cuopt-server-common",
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"skills": "./",
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"description": "cuOpt REST server — what it does and how requests flow. Domain concepts; no deploy or client code."
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},
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{
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"name": "cuopt-server-api-python",
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"source": "./skills/cuopt-server-api-python",
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"skills": "./",
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"description": "cuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API."
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},
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{
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"name": "skill-evolution",
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"source": "./skills/skill-evolution",
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"skills": "./",
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"description": "After solving a non-trivial problem, detect generalizable learnings and propose skill updates. Always active."
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}
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]
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}

‎.claude/AGENTS.md‎

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../AGENTS.md

‎.claude/CLAUDE.md‎

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../AGENTS.md

‎.claude/skills‎

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../skills

‎.coderabbit.yaml‎

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# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-FileCopyrightText: Copyright (c) 2025-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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reviews:
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profile: chill
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high_level_summary: true
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high_level_summary: false
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poem: false
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auto_review:
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enabled: true

‎.cursor-plugin/plugin.json‎

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{
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"name": "nvidia-cuopt-skills",
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"description": "Agent skills for NVIDIA cuOpt: routing (VRP, TSP, PDP), LP/MILP/QP, installation (Python/C/developer), and REST server. Use when building or solving optimization with cuOpt.",
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"version": "26.04.00",
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"author": {
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"name": "NVIDIA"
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},
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"homepage": "https://github.com/NVIDIA/cuopt",
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"repository": "https://github.com/NVIDIA/cuopt",
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"license": "Apache-2.0",
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"skills": "skills",
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"keywords": [
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"nvidia",
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"cuopt",
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"optimization",
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"routing",
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"vrp",
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"lp",
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"milp",
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"qp"
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]
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}

‎.cursor/AGENTS.md‎

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../AGENTS.md

‎.cursor/rules/skill-evolution.mdc‎

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---
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description: Trigger skill evolution — after solving non-trivial problems, propose skill updates.
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alwaysApply: true
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---
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# Skill Evolution
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After resolving a non-trivial problem, read and follow `skills/skill-evolution/SKILL.md` to check whether the learning should be captured as a skill update.

‎.cursor/skills‎

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../skills

‎.github/AGENTS.md‎

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