[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PNVW8BAMCE7MGPWTEF3EPR":3,"skill-same:01M6PNVW8BAMCE7MGPWTEF3EPR":106},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":31,"publishedAt":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":57,"commitSha":58,"skillDirectory":59,"forksCount":14,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":61,"ownerBlogUrl":62,"ownerDescription":6,"updatedAt":63,"install":64,"resources":77},"01M6PNVW8BAMCE7MGPWTEF3EPR","cuopt-install",null,"Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.","headmktlucca-ui\u002Fneuroads-lp","headmktlucca-ui","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F247379838?v=4","01M6PDVAV6M1W96D1SR1PDF8CS","NeuroAds","01M6PDVAZ4P281GNDKD45CYTF5",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcuopt-install\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"install","cuopt install","python","docker","deployment","server","developer","NVIDIA","verify","team","conda","via","pip","for","source","2026-11-10 10:12:30",false,"---\nname: cuopt-install\nversion: \"26.08.00\"\ndescription: Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.\nlicense: Apache-2.0\nmetadata:\n  author: NVIDIA cuOpt Team\n  tags:\n    - cuopt\n    - install\n    - deployment\n    - python\n    - server\n---\n\n# cuOpt Install (user)\n\nInstall cuOpt to *use* it from Python, C, or as a REST server. For building cuOpt from source to contribute or modify it, see `cuopt-developer`.\n\n## System requirements\n\n- **GPU**: NVIDIA Compute Capability ≥ 7.0 (Volta or newer). Examples: V100, A100, H100, RTX 20xx\u002F30xx\u002F40xx. Not supported: GTX 10xx (Pascal).\n- **CUDA**: 12.x or 13.x. The package CUDA suffix must match the runtime CUDA (e.g. `cuopt-cu12` \u002F `libcuopt-cu12` with CUDA 12).\n- **Driver**: NVIDIA driver compatible with the CUDA version.\n- `cuopt-cuXX` (Python) depends on `libcuopt-cuXX` (C), so installing the Python package also installs the C library and headers. Installing `libcuopt-cuXX` on its own does **not** install the Python API.\n\n## Required questions\n\nAsk these if not already clear:\n\n1. **Interface** — Python, C, or REST server? Server can be called from any language via HTTP.\n2. **CUDA version** — What is installed? Check with `nvcc --version` or `nvidia-smi`.\n3. **Package manager** — pip, conda, or Docker preferred?\n4. **Environment** — Local machine with GPU, cloud instance, Docker\u002FKubernetes, or remote\u002Fserver (no local GPU)?\n\n## Python API\n\n**Choose one** — do not run both. The second install would override the first and can cause CUDA \u002F package mismatch.\n\n### pip\n\n- **CUDA 13.x:**\n  ```bash\n  pip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com cuopt-cu13\n  ```\n- **CUDA 12.x:**\n  ```bash\n  pip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com 'cuopt-cu12==26.2.*'\n  ```\n\n### conda\n\n```bash\nconda install -c rapidsai -c conda-forge -c nvidia cuopt\n```\n\n### Verify\n\n```python\nimport cuopt\nprint(cuopt.__version__)\nfrom cuopt import routing\ndm = routing.DataModel(n_locations=3, n_fleet=1, n_orders=2)\n```\n\n## C API\n\nThe C API ships in `libcuopt-cuXX`, which is also pulled in as a dependency of `cuopt-cuXX` — so if you already installed the Python package, the C library and headers are already present. Install `libcuopt` standalone only when you want the C API without Python. **Choose one** of pip or conda — do not run both.\n\n### pip\n\n- **CUDA 13.x:**\n  ```bash\n  pip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com libcuopt-cu13\n  ```\n- **CUDA 12.x:**\n  ```bash\n  pip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com 'libcuopt-cu12==26.2.*'\n  ```\n\n### conda\n\n```bash\nconda install -c rapidsai -c conda-forge -c nvidia libcuopt\n```\n\n### Verify\n\nSee [`references\u002Fverification_examples.md`](references\u002Fverification_examples.md)\nfor the canonical C-API header\u002Flibrary `find` commands (conda and pip\u002Fvenv variants).\n\n## Server (REST)\n\n### pip\n\n```bash\npip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com cuopt-server-cu12 cuopt-sh-client\n```\n\n### conda\n\n```bash\nconda install -c rapidsai -c conda-forge -c nvidia cuopt-server cuopt-sh-client\n```\n\n### Docker\n\n```bash\ndocker pull nvidia\u002Fcuopt:latest-cuda12.9-py3.13\ndocker run --gpus all -it --rm -p 8000:8000 nvidia\u002Fcuopt:latest-cuda12.9-py3.13\n```\n\n### Verify\n\n```bash\npython -m cuopt_server.cuopt_service --ip 0.0.0.0 --port 8000 &\nsleep 5\ncurl -s http:\u002F\u002Flocalhost:8000\u002Fcuopt\u002Fhealth | jq .\n```\n\n## Common Issues\n\n- `No module named 'cuopt'` → check `pip list | grep cuopt`, `which python`, reinstall with the correct extra-index-url.\n- CUDA not available → run `nvidia-smi` and `nvcc --version`; ensure the package CUDA suffix (`cu12` vs `cu13`) matches the installed CUDA.\n- Python vs C → `cuopt-cuXX` pulls in `libcuopt-cuXX` as a transitive dependency, so the C library (`libcuopt.so`) and headers (`cuopt_c.h`) are already available after installing the Python package. The reverse is **not** true: `libcuopt-cuXX` alone does not install the Python bindings.\n\n## See also\n\n- [verification_examples.md](references\u002Fverification_examples.md) — full verification recipes for Python, C, server, and Docker.\n- `cuopt-developer` — build cuOpt from source and contribute to the codebase.\n","# cuOpt Install (user)\n\nInstall cuOpt to *use* it from Python, C, or as a REST server. For building cuOpt from source to contribute or modify it, see `cuopt-developer`.\n\n## System requirements\n\n- **GPU**: NVIDIA Compute Capability ≥ 7.0 (Volta or newer). Examples: V100, A100, H100, RTX 20xx\u002F30xx\u002F40xx. Not supported: GTX 10xx (Pascal).\n- **CUDA**: 12.x or 13.x. The package CUDA suffix must match the runtime CUDA (e.g. `cuopt-cu12` \u002F `libcuopt-cu12` with CUDA 12).\n- **Driver**: NVIDIA driver compatible with the CUDA version.\n- `cuopt-cuXX` (Python) depends on `libcuopt-cuXX` (C), so installing the Python package also installs the C library and headers. Installing `libcuopt-cuXX` on its own does **not** install the Python API.\n\n## Required questions\n\nAsk these if not already clear:\n\n1. **Interface** — Python, C, or REST server? Server can be called from any language via HTTP.\n2. **CUDA version** — What is installed? Check with `nvcc --version` or `nvidia-smi`.\n3. **Package manager** — pip, conda, or Docker preferred?\n4. **Environment** — Local machine with GPU, cloud instance, Docker\u002FKubernetes, or remote\u002Fserver (no local GPU)?\n\n## Python API\n\n**Choose one** — do not run both. The second install would override the first and can cause CUDA \u002F package mismatch.\n\n### pip\n\n- **CUDA 13.x:**\n  ```bash\n  pip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com cuopt-cu13\n  ```\n- **CUDA 12.x:**\n  ```bash\n  pip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com 'cuopt-cu12==26.2.*'\n  ```\n\n### conda\n\n```bash\nconda install -c rapidsai -c conda-forge -c nvidia cuopt\n```\n\n### Verify\n\n```python\nimport cuopt\nprint(cuopt.__version__)\nfrom cuopt import routing\ndm = routing.DataModel(n_locations=3, n_fleet=1, n_orders=2)\n```\n\n## C API\n\nThe C API ships in `libcuopt-cuXX`, which is also pulled in as a dependency of `cuopt-cuXX` — so if you already installed the Python package, the C library and headers are already present. Install `libcuopt` standalone only when you want the C API without Python. **Choose one** of pip or conda — do not run both.\n\n### pip\n\n- **CUDA 13.x:**\n  ```bash\n  pip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com libcuopt-cu13\n  ```\n- **CUDA 12.x:**\n  ```bash\n  pip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com 'libcuopt-cu12==26.2.*'\n  ```\n\n### conda\n\n```bash\nconda install -c rapidsai -c conda-forge -c nvidia libcuopt\n```\n\n### Verify\n\nSee [`references\u002Fverification_examples.md`](references\u002Fverification_examples.md)\nfor the canonical C-API header\u002Flibrary `find` commands (conda and pip\u002Fvenv variants).\n\n## Server (REST)\n\n### pip\n\n```bash\npip install --extra-index-url=https:\u002F\u002Fpypi.nvidia.com cuopt-server-cu12 cuopt-sh-client\n```\n\n### conda\n\n```bash\nconda install -c rapidsai -c conda-forge -c nvidia cuopt-server cuopt-sh-client\n```\n\n### Docker\n\n```bash\ndocker pull nvidia\u002Fcuopt:latest-cuda12.9-py3.13\ndocker run --gpus all -it --rm -p 8000:8000 nvidia\u002Fcuopt:latest-cuda12.9-py3.13\n```\n\n### Verify\n\n```bash\npython -m cuopt_server.cuopt_service --ip 0.0.0.0 --port 8000 &\nsleep 5\ncurl -s http:\u002F\u002Flocalhost:8000\u002Fcuopt\u002Fhealth | jq .\n```\n\n## Common Issues\n\n- `No module named 'cuopt'` → check `pip list | grep cuopt`, `which python`, reinstall with the correct extra-index-url.\n- CUDA not available → run `nvidia-smi` and `nvcc --version`; ensure the package CUDA suffix (`cu12` vs `cu13`) matches the installed CUDA.\n- Python vs C → `cuopt-cuXX` pulls in `libcuopt-cuXX` as a transitive dependency, so the C library (`libcuopt.so`) and headers (`cuopt_c.h`) are already available after installing the Python package. The reverse is **not** true: `libcuopt-cuXX` alone does not install the Python bindings.\n\n## See also\n\n- [verification_examples.md](references\u002Fverification_examples.md) — full verification recipes for Python, C, server, and Docker.\n- `cuopt-developer` — build cuOpt from source and contribute to the codebase.\n",{"name":5,"license":15,"version":52,"metadata":53,"description":7},"26.08.00",{"tags":54,"author":56},[55,32,36,34,37],"cuopt","NVIDIA cuOpt Team","main","7a940b8e5af16c95e5c190a524421d32fc7445a9",".claude\u002Fskills\u002Fcuopt-install","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui","https:\u002F\u002Fneuroads.com.br","2026-08-12 00:42:44",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add headmktlucca-ui\u002Fneuroads-lp --skill cuopt-install",{"tool":70,"command":71},"bunx","bunx skills add headmktlucca-ui\u002Fneuroads-lp --skill cuopt-install",{"tool":73,"command":74},"pnpm","pnpm dlx skills add headmktlucca-ui\u002Fneuroads-lp --skill cuopt-install","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcuopt-install\u002FSKILL.md",true,[78,84,88,92,96,100],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"BENCHMARK.md","REFERENCE","参考文档",4138,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcuopt-install\u002FBENCHMARK.md",{"path":85,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":86,"sourceHtmlUrl":87},"benchmark\u002Fevals.json",16196,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcuopt-install\u002Fbenchmark\u002Fevals.json",{"path":89,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":90,"sourceHtmlUrl":91},"evals\u002Fevals.json",860,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcuopt-install\u002Fevals\u002Fevals.json",{"path":93,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":94,"sourceHtmlUrl":95},"references\u002Fverification_examples.md",4249,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcuopt-install\u002Freferences\u002Fverification_examples.md",{"path":97,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":98,"sourceHtmlUrl":99},"skill-card.md",3716,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcuopt-install\u002Fskill-card.md",{"path":101,"resourceType":102,"resourceTypeDesc":103,"sizeBytes":104,"sourceHtmlUrl":105},"skill.oms.sig","OTHER","其他",5065,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fcuopt-install\u002Fskill.oms.sig",[107,132,156,181,199,232],{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":111,"licenseFileUrl":6,"sourceHtmlUrl":112,"categories":113,"keywords":120,"publishedAt":47},"01M6PTDCZTXTGSTX4RFK901YSZ","xunit-skill","Generates xUnit.net tests in C#. Covers Fact\u002FTheory, constructor injection, IClassFixture, and FluentAssertions. Use when user mentions \"xUnit\", \"[Fact]\", \"[Theory]\", \"Assert.Equal\", \"C# xUnit\". 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Apple's native testing framework for reliable, fast UI automation. Supports local simulators and TestMu AI cloud real devices. Use when user mentions \"XCUITest\", \"XCTest\", \"iOS UI test\", \"Swift test\", \"XCUIApplication\". Triggers on: \"XCUITest\", \"XCTest UI\", \"iOS UI test\", \"Swift UI test\", \"XCUIApplication\", \"TestMu\".","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fxcuitest-skill\u002FSKILL.md",[138,139],{"categoryNo":115,"categoryName":116,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":118,"categoryName":119,"taxonomyType":21,"taxonomyTypeDesc":22},[141,142,123,143,144,145,146,147,126,148,149,150,151,152,127,128,153,154,45,155],"xcuitest","xcuitest skill","automation","test","testing framework","ios","devices","mobile","mobile-testing","ui test","local","apple","apps","native","objective",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":111,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":166,"publishedAt":47},"01M6PTATMNTY9NF4J7KSR76YK6","world-builder","Create and manage generative game zones for Dorothy's Pokemon-style world. 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Use when building web interfaces, auditing accessibility, implementing responsive layouts, or reviewing web UI code. Triggers on tasks involving HTML, CSS, web components, WCAG compliance, responsive design, or web performance.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fweb\u002FSKILL.md",[205,208,209],{"categoryNo":206,"categoryName":207,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":163,"categoryName":164,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":210,"categoryName":211,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000032","设计师",[213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,128,231],"design","web","guidelines","web design guidelines","web design","css","performance","components","web components","tasks","code","web performance","ui","platform design","html","responsive design","responsive","platform","implementing",{"skillNo":233,"name":234,"nameZh":6,"description":235,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":111,"licenseFileUrl":6,"sourceHtmlUrl":236,"categories":237,"keywords":240,"publishedAt":47},"01M6PT9A3JKRE3X34276F2FW5R","watchos-design-guidelines","Apple Human Interface Guidelines for Apple Watch. 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