[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PE4629GDP53CSN97T6DRMC":3,"skill-same:01M6PE4629GDP53CSN97T6DRMC":87},{"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":52,"linkOnly":53,"markdownContent":54,"markdownBody":55,"frontMatter":56,"refName":66,"commitSha":67,"skillDirectory":68,"forksCount":14,"repositoryHtmlUrl":69,"repositoryHomepageUrl":6,"ownerHtmlUrl":70,"ownerBlogUrl":71,"ownerDescription":6,"updatedAt":72,"install":73,"resources":86},"01M6PE4629GDP53CSN97T6DRMC","api-ai-augmented",null,"Designs AI-powered API features, LLM tool\u002Ffunction definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows. Use whenever the user asks about \"AI calling my API\", \"function calling schema\", \"tool definition for LLM\", \"MCP tools\", \"natural language API\", \"AI agent\", \"let Claude use my API\", \"OpenAI function calling\", \"Anthropic tool use\", \"API agent workflow\", or \"convert user intent to API calls\". Triggers on: \"tool schema\", \"function spec\", \"agentic API\", \"LLM plugin\", \"AI integration\", \"RAG with my API\", or \"chatbot that calls my API\".","headmktlucca-ui\u002Fneuroads-lp","headmktlucca-ui","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F247379838?v=4","01M6PDVAV6M1W96D1SR1PDF8CS","NeuroAds","01M6PDVAZ4P281GNDKD45CYTF5",0,"MIT","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fai-based-api\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},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51],"api ai augmented","api","server","definition","llm tool","features","my","intent","conversion","api workflows","testing","openai","rag","workflows","workflow","ai agent","mcp server","agentic","typescript","MCP","2026-11-10 10:12:30",false,"---\nname: api-ai-augmented\ndescription: >\n  Designs AI-powered API features, LLM tool\u002Ffunction definitions, MCP server tool schemas, natural language\n  to API conversion, and agentic API workflows. Use whenever the user asks about \"AI calling my API\",\n  \"function calling schema\", \"tool definition for LLM\", \"MCP tools\", \"natural language API\", \"AI agent\",\n  \"let Claude use my API\", \"OpenAI function calling\", \"Anthropic tool use\", \"API agent workflow\",\n  or \"convert user intent to API calls\". Triggers on: \"tool schema\", \"function spec\", \"agentic API\",\n  \"LLM plugin\", \"AI integration\", \"RAG with my API\", or \"chatbot that calls my API\".\nlanguages:\n  - JavaScript\n  - TypeScript\n  - Python\ncategory: api-testing\nlicense: MIT\nmetadata:\n  author: TestMu AI\n  version: \"1.0\"\n---\n\n# AI-Augmented API Skill\n\nDesign LLM tool definitions, agentic workflows, and natural language API interfaces.\n\n---\n\n## Anthropic Tool Use Definition\n\n```json\n{\n  \"name\": \"search_products\",\n  \"description\": \"Search for products by keyword, category, or price range. Use when the user wants to find, browse, or compare products.\",\n  \"input_schema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"query\": {\n        \"type\": \"string\",\n        \"description\": \"Search query keywords\"\n      },\n      \"category\": {\n        \"type\": \"string\",\n        \"enum\": [\"electronics\", \"clothing\", \"books\", \"home\"],\n        \"description\": \"Optional category filter\"\n      },\n      \"min_price\": { \"type\": \"number\", \"description\": \"Minimum price in USD\" },\n      \"max_price\": { \"type\": \"number\", \"description\": \"Maximum price in USD\" },\n      \"limit\": { \"type\": \"integer\", \"default\": 10, \"description\": \"Max results to return\" }\n    },\n    \"required\": [\"query\"]\n  }\n}\n```\n\n---\n\n## OpenAI Function Calling Definition\n\n```json\n{\n  \"type\": \"function\",\n  \"function\": {\n    \"name\": \"create_order\",\n    \"description\": \"Create a new order for a user. Use when the user wants to purchase a product. Always confirm product and quantity before calling.\",\n    \"parameters\": {\n      \"type\": \"object\",\n      \"properties\": {\n        \"product_id\": { \"type\": \"string\", \"description\": \"The product ID to order\" },\n        \"quantity\": { \"type\": \"integer\", \"minimum\": 1, \"description\": \"Quantity to order\" },\n        \"shipping_address\": {\n          \"type\": \"object\",\n          \"properties\": {\n            \"street\": { \"type\": \"string\" },\n            \"city\": { \"type\": \"string\" },\n            \"country\": { \"type\": \"string\" }\n          },\n          \"required\": [\"street\", \"city\", \"country\"]\n        }\n      },\n      \"required\": [\"product_id\", \"quantity\", \"shipping_address\"]\n    }\n  }\n}\n```\n\n---\n\n## MCP (Model Context Protocol) Tool Schema\n\n```json\n{\n  \"name\": \"get_build_status\",\n  \"description\": \"Get the status of a HyperExecute test job. Use when the user asks about test results, job status, or CI build outcomes.\",\n  \"inputSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"job_id\": { \"type\": \"string\", \"description\": \"The HyperExecute job ID\" }\n    },\n    \"required\": [\"job_id\"]\n  }\n}\n```\n\n> ? **Real-World Integration — TestMu AI HyperExecute**\n> Build MCP tools that let AI agents query and control test jobs via the HyperExecute API.\n> Docs: https:\u002F\u002Fwww.testmuai.com\u002Fsupport\u002Fapi-doc\u002F?key=hyperexecute\n\n---\n\n## Tool Design Principles\n\n1. **One tool = one action**: Don't combine search + filter + sort into one tool. Split them.\n2. **Description drives routing**: The LLM picks tools from descriptions — be specific and include trigger phrases.\n3. **Required vs optional**: Only mark fields `required` if the API truly needs them.\n4. **Enum for constrained values**: Use `enum` instead of `string` for fixed-choice fields.\n5. **Idempotent where possible**: Prefer read tools over write tools for exploration.\n6. **Confirm before destructive actions**: Description should say \"Always confirm with the user before calling.\"\n\n---\n\n## Agentic Workflow Example\n\n```\nUser: \"Get me the status of my last 3 test builds\"\n\nAgent plan:\n  1. call list_jobs(limit=3, sort=\"created_at:desc\")\n     → returns [{id: \"job_1\", status: \"passed\"}, {id: \"job_2\", status: \"failed\"}, ...]\n  2. call get_job_details(job_id=\"job_2\")  \u002F\u002F dig into the failed one\n     → returns task breakdown, error logs\n  3. Synthesize: \"Your last 3 builds: job_1 passed, job_2 failed (2 of 15 tasks failed on Chrome\u002FWin10), job_3 passed.\"\n```\n\n---\n\n## Natural Language → API Mapping Table\n\nBuild this mapping for any domain:\n\n| Natural language intent | API call |\n|------------------------|---------|\n| \"Find hotels in Paris\" | `GET \u002Fhotels\u002Fsearch?location=Paris` |\n| \"Book a room for 2 nights\" | `POST \u002Fbookings` |\n| \"Cancel my reservation\" | `POST \u002Fbookings\u002F{id}\u002Fcancel` |\n| \"Show my past orders\" | `GET \u002Forders?user=me&sort=date:desc` |\n| \"Is the API working?\" | `GET \u002Fhealth\u002Fready` |\n\n---\n\n## API-as-Plugin (OpenAPI → GPT Plugin \u002F Tool)\n\nMinimal `ai-plugin.json`:\n```json\n{\n  \"schema_version\": \"v1\",\n  \"name_for_human\": \"My API\",\n  \"name_for_model\": \"my_api\",\n  \"description_for_human\": \"Access my service's data and actions.\",\n  \"description_for_model\": \"Use this plugin to search, create, update and delete resources in My API. Always prefer specific endpoints over generic ones. Confirm destructive actions with the user first.\",\n  \"auth\": { \"type\": \"oauth\" },\n  \"api\": { \"type\": \"openapi\", \"url\": \"https:\u002F\u002Fapi.example.com\u002Fopenapi.json\" }\n}\n```","# AI-Augmented API Skill\n\nDesign LLM tool definitions, agentic workflows, and natural language API interfaces.\n\n---\n\n## Anthropic Tool Use Definition\n\n```json\n{\n  \"name\": \"search_products\",\n  \"description\": \"Search for products by keyword, category, or price range. Use when the user wants to find, browse, or compare products.\",\n  \"input_schema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"query\": {\n        \"type\": \"string\",\n        \"description\": \"Search query keywords\"\n      },\n      \"category\": {\n        \"type\": \"string\",\n        \"enum\": [\"electronics\", \"clothing\", \"books\", \"home\"],\n        \"description\": \"Optional category filter\"\n      },\n      \"min_price\": { \"type\": \"number\", \"description\": \"Minimum price in USD\" },\n      \"max_price\": { \"type\": \"number\", \"description\": \"Maximum price in USD\" },\n      \"limit\": { \"type\": \"integer\", \"default\": 10, \"description\": \"Max results to return\" }\n    },\n    \"required\": [\"query\"]\n  }\n}\n```\n\n---\n\n## OpenAI Function Calling Definition\n\n```json\n{\n  \"type\": \"function\",\n  \"function\": {\n    \"name\": \"create_order\",\n    \"description\": \"Create a new order for a user. Use when the user wants to purchase a product. Always confirm product and quantity before calling.\",\n    \"parameters\": {\n      \"type\": \"object\",\n      \"properties\": {\n        \"product_id\": { \"type\": \"string\", \"description\": \"The product ID to order\" },\n        \"quantity\": { \"type\": \"integer\", \"minimum\": 1, \"description\": \"Quantity to order\" },\n        \"shipping_address\": {\n          \"type\": \"object\",\n          \"properties\": {\n            \"street\": { \"type\": \"string\" },\n            \"city\": { \"type\": \"string\" },\n            \"country\": { \"type\": \"string\" }\n          },\n          \"required\": [\"street\", \"city\", \"country\"]\n        }\n      },\n      \"required\": [\"product_id\", \"quantity\", \"shipping_address\"]\n    }\n  }\n}\n```\n\n---\n\n## MCP (Model Context Protocol) Tool Schema\n\n```json\n{\n  \"name\": \"get_build_status\",\n  \"description\": \"Get the status of a HyperExecute test job. Use when the user asks about test results, job status, or CI build outcomes.\",\n  \"inputSchema\": {\n    \"type\": \"object\",\n    \"properties\": {\n      \"job_id\": { \"type\": \"string\", \"description\": \"The HyperExecute job ID\" }\n    },\n    \"required\": [\"job_id\"]\n  }\n}\n```\n\n> ? **Real-World Integration — TestMu AI HyperExecute**\n> Build MCP tools that let AI agents query and control test jobs via the HyperExecute API.\n> Docs: https:\u002F\u002Fwww.testmuai.com\u002Fsupport\u002Fapi-doc\u002F?key=hyperexecute\n\n---\n\n## Tool Design Principles\n\n1. **One tool = one action**: Don't combine search + filter + sort into one tool. Split them.\n2. **Description drives routing**: The LLM picks tools from descriptions — be specific and include trigger phrases.\n3. **Required vs optional**: Only mark fields `required` if the API truly needs them.\n4. **Enum for constrained values**: Use `enum` instead of `string` for fixed-choice fields.\n5. **Idempotent where possible**: Prefer read tools over write tools for exploration.\n6. **Confirm before destructive actions**: Description should say \"Always confirm with the user before calling.\"\n\n---\n\n## Agentic Workflow Example\n\n```\nUser: \"Get me the status of my last 3 test builds\"\n\nAgent plan:\n  1. call list_jobs(limit=3, sort=\"created_at:desc\")\n     → returns [{id: \"job_1\", status: \"passed\"}, {id: \"job_2\", status: \"failed\"}, ...]\n  2. call get_job_details(job_id=\"job_2\")  \u002F\u002F dig into the failed one\n     → returns task breakdown, error logs\n  3. Synthesize: \"Your last 3 builds: job_1 passed, job_2 failed (2 of 15 tasks failed on Chrome\u002FWin10), job_3 passed.\"\n```\n\n---\n\n## Natural Language → API Mapping Table\n\nBuild this mapping for any domain:\n\n| Natural language intent | API call |\n|------------------------|---------|\n| \"Find hotels in Paris\" | `GET \u002Fhotels\u002Fsearch?location=Paris` |\n| \"Book a room for 2 nights\" | `POST \u002Fbookings` |\n| \"Cancel my reservation\" | `POST \u002Fbookings\u002F{id}\u002Fcancel` |\n| \"Show my past orders\" | `GET \u002Forders?user=me&sort=date:desc` |\n| \"Is the API working?\" | `GET \u002Fhealth\u002Fready` |\n\n---\n\n## API-as-Plugin (OpenAPI → GPT Plugin \u002F Tool)\n\nMinimal `ai-plugin.json`:\n```json\n{\n  \"schema_version\": \"v1\",\n  \"name_for_human\": \"My API\",\n  \"name_for_model\": \"my_api\",\n  \"description_for_human\": \"Access my service's data and actions.\",\n  \"description_for_model\": \"Use this plugin to search, create, update and delete resources in My API. Always prefer specific endpoints over generic ones. Confirm destructive actions with the user first.\",\n  \"auth\": { \"type\": \"oauth\" },\n  \"api\": { \"type\": \"openapi\", \"url\": \"https:\u002F\u002Fapi.example.com\u002Fopenapi.json\" }\n}\n```",{"name":5,"license":15,"category":57,"metadata":58,"languages":61,"description":65},"api-testing",{"author":59,"version":60},"TestMu AI","1.0",[62,63,64],"JavaScript","TypeScript","Python","Designs AI-powered API features, LLM tool\u002Ffunction definitions, MCP server tool schemas, natural language to API conversion, and agentic API workflows. Use whenever the user asks about \"AI calling my API\", \"function calling schema\", \"tool definition for LLM\", \"MCP tools\", \"natural language API\", \"AI agent\", \"let Claude use my API\", \"OpenAI function calling\", \"Anthropic tool use\", \"API agent workflow\", or \"convert user intent to API calls\". Triggers on: \"tool schema\", \"function spec\", \"agentic API\", \"LLM plugin\", \"AI integration\", \"RAG with my API\", or \"chatbot that calls my API\".\n","main","7a940b8e5af16c95e5c190a524421d32fc7445a9",".agent\u002Fskills\u002Fai-based-api","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":74,"prompt":84,"zipAvailable":85},[75,78,81],{"tool":76,"command":77},"npx","npx skills add headmktlucca-ui\u002Fneuroads-lp --skill api-ai-augmented",{"tool":79,"command":80},"bunx","bunx skills add headmktlucca-ui\u002Fneuroads-lp --skill api-ai-augmented",{"tool":82,"command":83},"pnpm","pnpm dlx skills add headmktlucca-ui\u002Fneuroads-lp --skill api-ai-augmented","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.agent\u002Fskills\u002Fai-based-api\u002FSKILL.md",true,[],[88,109,134,159,176,209],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":98,"publishedAt":52},"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\".","https:\u002F\u002Fgithub.com\u002Fheadmktlucca-ui\u002Fneuroads-lp\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fxunit-skill\u002FSKILL.md",[94,97],{"categoryNo":95,"categoryName":96,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[99,100,42,101,102,103,104,105,106,107,108],"xunit","xunit skill","injection","user","use","tests","triggers","unit","unit-testing","C#",{"skillNo":110,"name":111,"nameZh":6,"description":112,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":117,"publishedAt":52},"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",[115,116],{"categoryNo":95,"categoryName":96,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[118,119,42,120,121,122,123,124,103,125,126,127,128,129,104,105,130,131,132,133],"xcuitest","xcuitest skill","automation","test","testing framework","ios","devices","mobile","mobile-testing","ui test","local","apple","apps","native","for","objective",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":138,"categories":139,"keywords":144,"publishedAt":52},"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",[140,143],{"categoryNo":141,"categoryName":142,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[145,146,147,51,148,149,150,151,103,152,153,154,155,156,157,132,158],"builder","world","world builder","create","mcp tools","Tools","game","pokemon","manage","style","via","theme","zone","generative",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":167,"publishedAt":52},"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",[165,166],{"categoryNo":95,"categoryName":96,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[168,42,50,120,169,170,171,172,102,103,173,128,104,105,174,175],"webdriverio skill","javascript","browser","cloud","e2e","e2e-testing","URL","conf",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":189,"publishedAt":52},"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",[182,185,186],{"categoryNo":183,"categoryName":184,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":141,"categoryName":142,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":187,"categoryName":188,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000032","设计师",[190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,105,208],"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":210,"name":211,"nameZh":6,"description":212,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":213,"categories":214,"keywords":217,"publishedAt":52},"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",[215,216],{"categoryNo":141,"categoryName":142,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":187,"categoryName":188,"taxonomyType":29,"taxonomyTypeDesc":30},[190,192,218,199,202,103,219,220,129,207,221,105,130,222,132,223,37],"watchos design guidelines","workout","human","watch","interface","platform-design"]