[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PP8QCBVVPC2QTX6MHY7CZH":3,"skill-same:01M6PP8QCBVVPC2QTX6MHY7CZH":91},{"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":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":14,"repositoryHtmlUrl":53,"repositoryHomepageUrl":6,"ownerHtmlUrl":54,"ownerBlogUrl":55,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M6PP8QCBVVPC2QTX6MHY7CZH","earth2studio-install",null,"Guide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Do NOT use for writing inference code, choosing models, or PhysicsNeMo questions.","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\u002Fearth2studio-install\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"earth2studio install","install","guide","for","pip","questions","via","do","models","uv","use","writing","environment","model","team","NVIDIA","code","deployment","inference","python","2026-11-10 10:12:30",false,"---\nname: earth2studio-install\nversion: 0.16.0\nlicense: Apache-2.0\nmetadata:\n  author: NVIDIA Earth-2 Team\n  tags:\n    - earth2studio\n    - earth2\n    - python\n    - install\n    - deployment\n    - environment\ndescription: >\n  Guide installing Earth2Studio via uv or pip, selecting model extras, and\n  configuring the environment. Do NOT use for writing inference code, choosing\n  models, or PhysicsNeMo questions.\n---\n\n# Earth2Studio Installation Skill\n\n## Never install packages automatically\n\nYou **MUST NOT** install, upgrade, or modify packages on the user's\nbehalf. Provide the exact command; the user runs it. No exceptions.\n\n**Forbidden:** running `pip install`, `uv pip install`, `uv add`,\n`uv sync`, `conda install`, `apt install`, or any package manager.\n\n**Instead:** give the exact command and ask the user to run it.\nExplain why the package is needed.\n\nWhen a package is needed:\n\n1. Identify it\n2. Provide the exact command\n3. Explain why it is needed\n4. **Wait for the user to confirm they ran it**\n\nEven if the user says \"just install it\", give the command and require\nthem to execute it themselves.\n\n## Purpose\n\nHelp users install Earth2Studio and its optional model dependencies correctly for\ntheir use case. This skill handles package installation, optional-extra selection,\nenvironment variable configuration, and install verification.\n\n## Prerequisites\n\n- Python 3.10+ (3.13 recommended)\n- CUDA-capable GPU with compatible drivers for GPU extras\n- uv (recommended) or pip package manager\n- Internet access (packages installed from PyPI and GitHub)\n\nYou are helping a user install Earth2Studio and its optional model\ndependencies. Your only job is to get the package installed correctly\nfor their use case — do not write inference code, do not compose\nworkflows.\n\n## Core principle: docs are the source of truth\n\nEarth2Studio installation commands, version tags, and extra names change\nbetween releases. **Before executing or recommending any install command,\nfetch the live installation docs:**\n\n```text\nhttps:\u002F\u002Fnvidia.github.io\u002Fearth2studio\u002Fuserguide\u002Fabout\u002Finstall.html\n```\n\nParse the page for the current version tag, available extras, and any\nspecial build notes. The workflow below is structural guidance — the\nspecific commands come from the live page.\n\n## Instructions\n\n### Step 1. Fetch live docs\n\nUse WebFetch on the install URL above. Extract:\n\n- Current release version tag (e.g. `@0.14.0`)\n- Available optional extras by category\n- Known build quirks (e.g. `--no-build-isolation` for pip,\n  manual pre-installs)\n\nKeep this data in working memory for all subsequent steps.\n\n### Step 2. Understand the user's environment\n\nAsk (cap at 3 questions, skip what the user already answered):\n\n1. **Package manager** — uv (recommended) or pip? If unsure, recommend\n   uv and link \u003Chttps:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fgetting-started\u002Finstallation\u002F>\n2. **Project context** — new project or adding to existing?\n3. **Python version** — recommend the version from the docs\n   (currently 3.13)\n\n### Step 3. Base install\n\nProvide commands from the live docs based on their answers:\n\n- **uv** uses a git source (not PyPI) to handle URL-based transitive dependencies\n- **pip** installs from PyPI but some extras require manual pre-install steps\n\nAfter the user runs the install, verify:\n\n```python\nimport earth2studio\nearth2studio.__version__\n```\n\n### Step 4. Select models and extras\n\nPresent the available extras organized by use case. Ask what the user\nplans to do — don't dump all options unprompted. Categories from the\ndocs:\n\n| Category | Example extras |\n|----------|---------------|\n| Prognostic (forecasting) | aifs, aurora, graphcast, pangu, sfno, stormcast, ... |\n| Diagnostic (post-processing) | corrdiff, climatenet, precip-afno, ... |\n| Data assimilation (beta) | da-healda, da-interp, da-stormcast |\n| Submodules | data, perturbation, statistics |\n\nThe exact list comes from the live docs — cite those, not this table.\n\nAsk:\n\n1. Which models do you plan to use?\n2. Do you need submodule extras (data sources, perturbation methods,\n   statistics)?\n3. Or install everything? (uv only: `--extra all`)\n\n### Step 5. Install selected extras\n\nProvide the exact commands from the live docs for their selections.\nKey warnings to surface:\n\n- **Slow builds**: flash-attention (AIFS variants), natten\n  (Atlas, StormScope), torch-harmonics CUDA extensions (FCN3, SFNO)\n  — can take 10-30+ minutes\n- **pip-specific manual steps**: some models require\n  `--no-build-isolation` or pre-installing packages like earth2grid,\n  torch-harmonics, or makani\n- **Data assimilation models**: require CuPy + cuDF (CUDA 12)\n\n### Step 6. Configuration (offer, don't force)\n\nMention environment variables the user might want to set — only if\nrelevant (e.g. limited disk, shared filesystem, CI environment):\n\n| Variable | Purpose |\n|----------|---------|\n| `EARTH2STUDIO_CACHE` | General cache directory |\n| `EARTH2STUDIO_DATA_CACHE` | Data source cache (overrides general) |\n| `EARTH2STUDIO_MODEL_CACHE` | Model checkpoint cache (overrides general) |\n| `EARTH2STUDIO_PACKAGE_TIMEOUT` | Max seconds for model downloads |\n\n## Troubleshooting\n\nIf installation fails, point the user to:\n\n- \u003Chttps:\u002F\u002Fnvidia.github.io\u002Fearth2studio\u002Fuserguide\u002Fsupport\u002Ftroubleshooting.html>\n- \u003Chttps:\u002F\u002Fnvidia.github.io\u002Fearth2studio\u002Fuserguide\u002Fsupport\u002Ffaq.html>\n\nCommon issues:\n\n- **PyTorch\u002FCUDA mismatch**: verify `torch.cuda.is_available()` first\n- **flash-attention build failure**: CUDA toolkit version must match\n  PyTorch CUDA\n- **ONNX Runtime GPU**: may need version-specific install for their CUDA\n- **ecCodes missing**: required for GRIB data handling; install via\n  `sudo apt-get install libeccodes-dev` (Debian\u002FUbuntu) or\n  `conda install -c conda-forge eccodes`\n- **Python.h: No such file or directory**: missing Python development\n  headers; install via `sudo apt-get install python3-dev`\n\n## Limitations\n\n- Cannot help with runtime errors unrelated to missing dependencies\n- Does not cover model checkpoint downloads (those happen at first inference)\n- Data source setup beyond the `data` extra is out of scope\n- Cannot write inference or training code, or compose Earth2Studio workflows\n\n## Ownership and out-of-scope\n\n**Owns:** package installation, optional-extra selection, environment\nvariable configuration, install verification.\n\n**Does not own:** writing inference or training code, composing\nEarth2Studio workflows, data source setup beyond the `data` extra,\nmodel checkpoint downloads (those happen at runtime), troubleshooting\nruntime errors unrelated to missing dependencies.\n","# Earth2Studio Installation Skill\n\n## Never install packages automatically\n\nYou **MUST NOT** install, upgrade, or modify packages on the user's\nbehalf. Provide the exact command; the user runs it. No exceptions.\n\n**Forbidden:** running `pip install`, `uv pip install`, `uv add`,\n`uv sync`, `conda install`, `apt install`, or any package manager.\n\n**Instead:** give the exact command and ask the user to run it.\nExplain why the package is needed.\n\nWhen a package is needed:\n\n1. Identify it\n2. Provide the exact command\n3. Explain why it is needed\n4. **Wait for the user to confirm they ran it**\n\nEven if the user says \"just install it\", give the command and require\nthem to execute it themselves.\n\n## Purpose\n\nHelp users install Earth2Studio and its optional model dependencies correctly for\ntheir use case. This skill handles package installation, optional-extra selection,\nenvironment variable configuration, and install verification.\n\n## Prerequisites\n\n- Python 3.10+ (3.13 recommended)\n- CUDA-capable GPU with compatible drivers for GPU extras\n- uv (recommended) or pip package manager\n- Internet access (packages installed from PyPI and GitHub)\n\nYou are helping a user install Earth2Studio and its optional model\ndependencies. Your only job is to get the package installed correctly\nfor their use case — do not write inference code, do not compose\nworkflows.\n\n## Core principle: docs are the source of truth\n\nEarth2Studio installation commands, version tags, and extra names change\nbetween releases. **Before executing or recommending any install command,\nfetch the live installation docs:**\n\n```text\nhttps:\u002F\u002Fnvidia.github.io\u002Fearth2studio\u002Fuserguide\u002Fabout\u002Finstall.html\n```\n\nParse the page for the current version tag, available extras, and any\nspecial build notes. The workflow below is structural guidance — the\nspecific commands come from the live page.\n\n## Instructions\n\n### Step 1. Fetch live docs\n\nUse WebFetch on the install URL above. Extract:\n\n- Current release version tag (e.g. `@0.14.0`)\n- Available optional extras by category\n- Known build quirks (e.g. `--no-build-isolation` for pip,\n  manual pre-installs)\n\nKeep this data in working memory for all subsequent steps.\n\n### Step 2. Understand the user's environment\n\nAsk (cap at 3 questions, skip what the user already answered):\n\n1. **Package manager** — uv (recommended) or pip? If unsure, recommend\n   uv and link \u003Chttps:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fgetting-started\u002Finstallation\u002F>\n2. **Project context** — new project or adding to existing?\n3. **Python version** — recommend the version from the docs\n   (currently 3.13)\n\n### Step 3. Base install\n\nProvide commands from the live docs based on their answers:\n\n- **uv** uses a git source (not PyPI) to handle URL-based transitive dependencies\n- **pip** installs from PyPI but some extras require manual pre-install steps\n\nAfter the user runs the install, verify:\n\n```python\nimport earth2studio\nearth2studio.__version__\n```\n\n### Step 4. Select models and extras\n\nPresent the available extras organized by use case. Ask what the user\nplans to do — don't dump all options unprompted. Categories from the\ndocs:\n\n| Category | Example extras |\n|----------|---------------|\n| Prognostic (forecasting) | aifs, aurora, graphcast, pangu, sfno, stormcast, ... |\n| Diagnostic (post-processing) | corrdiff, climatenet, precip-afno, ... |\n| Data assimilation (beta) | da-healda, da-interp, da-stormcast |\n| Submodules | data, perturbation, statistics |\n\nThe exact list comes from the live docs — cite those, not this table.\n\nAsk:\n\n1. Which models do you plan to use?\n2. Do you need submodule extras (data sources, perturbation methods,\n   statistics)?\n3. Or install everything? (uv only: `--extra all`)\n\n### Step 5. Install selected extras\n\nProvide the exact commands from the live docs for their selections.\nKey warnings to surface:\n\n- **Slow builds**: flash-attention (AIFS variants), natten\n  (Atlas, StormScope), torch-harmonics CUDA extensions (FCN3, SFNO)\n  — can take 10-30+ minutes\n- **pip-specific manual steps**: some models require\n  `--no-build-isolation` or pre-installing packages like earth2grid,\n  torch-harmonics, or makani\n- **Data assimilation models**: require CuPy + cuDF (CUDA 12)\n\n### Step 6. Configuration (offer, don't force)\n\nMention environment variables the user might want to set — only if\nrelevant (e.g. limited disk, shared filesystem, CI environment):\n\n| Variable | Purpose |\n|----------|---------|\n| `EARTH2STUDIO_CACHE` | General cache directory |\n| `EARTH2STUDIO_DATA_CACHE` | Data source cache (overrides general) |\n| `EARTH2STUDIO_MODEL_CACHE` | Model checkpoint cache (overrides general) |\n| `EARTH2STUDIO_PACKAGE_TIMEOUT` | Max seconds for model downloads |\n\n## Troubleshooting\n\nIf installation fails, point the user to:\n\n- \u003Chttps:\u002F\u002Fnvidia.github.io\u002Fearth2studio\u002Fuserguide\u002Fsupport\u002Ftroubleshooting.html>\n- \u003Chttps:\u002F\u002Fnvidia.github.io\u002Fearth2studio\u002Fuserguide\u002Fsupport\u002Ffaq.html>\n\nCommon issues:\n\n- **PyTorch\u002FCUDA mismatch**: verify `torch.cuda.is_available()` first\n- **flash-attention build failure**: CUDA toolkit version must match\n  PyTorch CUDA\n- **ONNX Runtime GPU**: may need version-specific install for their CUDA\n- **ecCodes missing**: required for GRIB data handling; install via\n  `sudo apt-get install libeccodes-dev` (Debian\u002FUbuntu) or\n  `conda install -c conda-forge eccodes`\n- **Python.h: No such file or directory**: missing Python development\n  headers; install via `sudo apt-get install python3-dev`\n\n## Limitations\n\n- Cannot help with runtime errors unrelated to missing dependencies\n- Does not cover model checkpoint downloads (those happen at first inference)\n- Data source setup beyond the `data` extra is out of scope\n- Cannot write inference or training code, or compose Earth2Studio workflows\n\n## Ownership and out-of-scope\n\n**Owns:** package installation, optional-extra selection, environment\nvariable configuration, install verification.\n\n**Does not own:** writing inference or training code, composing\nEarth2Studio workflows, data source setup beyond the `data` extra,\nmodel checkpoint downloads (those happen at runtime), troubleshooting\nruntime errors unrelated to missing dependencies.\n",{"name":5,"license":15,"version":44,"metadata":45,"description":7},"0.16.0",{"tags":46,"author":49},[47,48,38,20,36,31],"earth2studio","earth2","NVIDIA Earth-2 Team","main","7a940b8e5af16c95e5c190a524421d32fc7445a9",".claude\u002Fskills\u002Fearth2studio-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":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add headmktlucca-ui\u002Fneuroads-lp --skill earth2studio-install",{"tool":63,"command":64},"bunx","bunx skills add headmktlucca-ui\u002Fneuroads-lp --skill earth2studio-install",{"tool":66,"command":67},"pnpm","pnpm dlx skills add headmktlucca-ui\u002Fneuroads-lp --skill earth2studio-install","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fearth2studio-install\u002FSKILL.md",true,[71,77,81,85],{"path":72,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":75,"sourceHtmlUrl":76},"BENCHMARK.md","REFERENCE","参考文档",3852,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fearth2studio-install\u002FBENCHMARK.md",{"path":78,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":79,"sourceHtmlUrl":80},"evals\u002Fevals.json",3480,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fearth2studio-install\u002Fevals\u002Fevals.json",{"path":82,"resourceType":73,"resourceTypeDesc":74,"sizeBytes":83,"sourceHtmlUrl":84},"skill-card.md",4027,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fearth2studio-install\u002Fskill-card.md",{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"skill.oms.sig","OTHER","其他",4593,"https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fearth2studio-install\u002Fskill.oms.sig",[92,118,142,167,185,219],{"skillNo":93,"name":94,"nameZh":6,"description":95,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":107,"publishedAt":39},"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\". Triggers on: \"xUnit\", \"[Fact]\", \"[Theory]\", \"Assert.Equal C#\", \"xUnit.net\".","MIT","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fxunit-skill\u002FSKILL.md",[99,104],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":105,"categoryName":106,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000023","Skill与智能体开发",[108,109,110,111,112,29,113,114,115,116,117],"xunit","xunit skill","testing","injection","user","tests","triggers","unit","unit-testing","C#",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":126,"publishedAt":39},"01M6PTCB59ZTG5FTMWGPYEMMBP","xcuitest-skill","Generates XCUITest UI tests for iOS\u002FiPadOS apps in Swift. 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",[124,125],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":105,"categoryName":106,"taxonomyType":102,"taxonomyTypeDesc":103},[127,128,110,129,130,131,132,133,29,134,135,136,137,138,113,114,139,140,22,141],"xcuitest","xcuitest skill","automation","test","testing framework","ios","devices","mobile","mobile-testing","ui test","local","apple","apps","native","objective",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":152,"publishedAt":39},"01M6PTATMNTY9NF4J7KSR76YK6","world-builder","Create and manage generative game zones for Dorothy's Pokemon-style world. Use this skill when creating, updating, or designing game worlds via MCP tools.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fworld-builder\u002FSKILL.md",[148,151],{"categoryNo":149,"categoryName":150,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":105,"categoryName":106,"taxonomyType":102,"taxonomyTypeDesc":103},[153,154,155,156,157,158,159,160,29,161,162,163,25,164,165,22,166],"builder","world","world builder","MCP","create","mcp tools","Tools","game","pokemon","manage","style","theme","zone","generative",{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":175,"publishedAt":39},"01M6PT9Z92JTSQEHE1QR0NNW5F","webdriverio-skill","Generates WebdriverIO (WDIO) automation tests in JavaScript or TypeScript. Supports local and TestMu AI cloud. Use when user mentions \"WebdriverIO\", \"WDIO\", \"wdio.conf\", \"browser.url\", \"$\", \"$$\". Triggers on: \"WebdriverIO\", \"WDIO\", \"wdio\", \"browser.$\".","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fwebdriverio-skill\u002FSKILL.md",[173,174],{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":105,"categoryName":106,"taxonomyType":102,"taxonomyTypeDesc":103},[176,110,177,129,178,179,180,181,112,29,182,137,113,114,183,184],"webdriverio skill","typescript","javascript","browser","cloud","e2e","e2e-testing","URL","conf",{"skillNo":186,"name":187,"nameZh":6,"description":188,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":6,"sourceHtmlUrl":189,"categories":190,"keywords":200,"publishedAt":39},"01M6PT9NVK36ZWCQ69YXK3FR4K","web-design-guidelines","Web platform design and accessibility guidelines. 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",[191,194,195],{"categoryNo":192,"categoryName":193,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":149,"categoryName":150,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":196,"categoryName":197,"taxonomyType":198,"taxonomyTypeDesc":199},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[201,202,203,204,205,206,207,208,209,210,35,211,212,213,214,215,216,217,114,218],"design","web","guidelines","web design guidelines","web design","css","performance","components","web components","tasks","web performance","ui","platform design","html","responsive design","responsive","platform","implementing",{"skillNo":220,"name":221,"nameZh":6,"description":222,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":96,"licenseFileUrl":6,"sourceHtmlUrl":223,"categories":224,"keywords":227,"publishedAt":39},"01M6PT9A3JKRE3X34276F2FW5R","watchos-design-guidelines","Apple Human Interface Guidelines for Apple Watch. Use when building watchOS apps, complications, or workout features. Triggers on tasks involving Watch UI, Digital Crown, glanceable interfaces, or wrist-based interactions.","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fwatchos\u002FSKILL.md",[225,226],{"categoryNo":149,"categoryName":150,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":196,"categoryName":197,"taxonomyType":198,"taxonomyTypeDesc":199},[201,203,228,210,212,29,229,230,138,217,231,114,139,232,22,233,234],"watchos design guidelines","workout","human","watch","interface","platform-design","features"]