[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7BGERXMVBTYF2D7ZVT237NV":3,"skill-same:01M7BGERXMVBTYF2D7ZVT237NV":53},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":24,"commitSha":25,"skillDirectory":26,"forksCount":27,"repositoryHtmlUrl":28,"repositoryHomepageUrl":29,"ownerHtmlUrl":30,"ownerBlogUrl":6,"ownerDescription":31,"updatedAt":32,"install":33,"resources":46},"01M7BGERXMVBTYF2D7ZVT237NV","visa-doc-translate",null,"Translate visa application documents (images) to English and create a bilingual PDF with original and translation","YYC-Cube\u002FYYC3-Knowledge-Base","YYC-Cube","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F235006543?v=4","01M79J2PH4SWD2X0825X6PN748","yyc3","01M79J2PHVK3F6ZBYT8K2SCZCW",1,"MIT","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-AI-应用工具\u002FYYC3-AI-应用工具-Everything-claude-code\u002Fskills\u002Fvisa-doc-translate\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: visa-doc-translate\ndescription: Translate visa application documents (images) to English and create a bilingual PDF with original and translation\n---\n\nYou are helping translate visa application documents for visa applications.\n\n## Instructions\n\nWhen the user provides an image file path, AUTOMATICALLY execute the following steps WITHOUT asking for confirmation:\n\n1. **Image Conversion**: If the file is HEIC, convert it to PNG using `sips -s format png \u003Cinput> --out \u003Coutput>`\n\n2. **Image Rotation**:\n   - Check EXIF orientation data\n   - Automatically rotate the image based on EXIF data\n   - If EXIF orientation is 6, rotate 90 degrees counterclockwise\n   - Apply additional rotation as needed (test 180 degrees if document appears upside down)\n\n3. **OCR Text Extraction**:\n   - Try multiple OCR methods automatically:\n     - macOS Vision framework (preferred for macOS)\n     - EasyOCR (cross-platform, no tesseract required)\n     - Tesseract OCR (if available)\n   - Extract all text information from the document\n   - Identify document type (deposit certificate, employment certificate, retirement certificate, etc.)\n\n4. **Translation**:\n   - Translate all text content to English professionally\n   - Maintain the original document structure and format\n   - Use professional terminology appropriate for visa applications\n   - Keep proper names in original language with English in parentheses\n   - For Chinese names, use pinyin format (e.g., WU Zhengye)\n   - Preserve all numbers, dates, and amounts accurately\n\n5. **PDF Generation**:\n   - Create a Python script using PIL and reportlab libraries\n   - Page 1: Display the rotated original image, centered and scaled to fit A4 page\n   - Page 2: Display the English translation with proper formatting:\n     - Title centered and bold\n     - Content left-aligned with appropriate spacing\n     - Professional layout suitable for official documents\n   - Add a note at the bottom: \"This is a certified English translation of the original document\"\n   - Execute the script to generate the PDF\n\n6. **Output**: Create a PDF file named `\u003Coriginal_filename>_Translated.pdf` in the same directory\n\n## Supported Documents\n\n- Bank deposit certificates (存款证明)\n- Income certificates (收入证明)\n- Employment certificates (在职证明)\n- Retirement certificates (退休证明)\n- Property certificates (房产证明)\n- Business licenses (营业执照)\n- ID cards and passports\n- Other official documents\n\n## Technical Implementation\n\n### OCR Methods (tried in order)\n\n1. **macOS Vision Framework** (macOS only):\n   ```python\n   import Vision\n   from Foundation import NSURL\n   ```\n\n2. **EasyOCR** (cross-platform):\n   ```bash\n   pip install easyocr\n   ```\n\n3. **Tesseract OCR** (if available):\n   ```bash\n   brew install tesseract tesseract-lang\n   pip install pytesseract\n   ```\n\n### Required Python Libraries\n\n```bash\npip install pillow reportlab\n```\n\nFor macOS Vision framework:\n```bash\npip install pyobjc-framework-Vision pyobjc-framework-Quartz\n```\n\n## Important Guidelines\n\n- DO NOT ask for user confirmation at each step\n- Automatically determine the best rotation angle\n- Try multiple OCR methods if one fails\n- Ensure all numbers, dates, and amounts are accurately translated\n- Use clean, professional formatting\n- Complete the entire process and report the final PDF location\n\n## Example Usage\n\n```bash\n\u002Fvisa-doc-translate RetirementCertificate.PNG\n\u002Fvisa-doc-translate BankStatement.HEIC\n\u002Fvisa-doc-translate EmploymentLetter.jpg\n```\n\n## Output Example\n\nThe skill will:\n1. Extract text using available OCR method\n2. Translate to professional English\n3. Generate `\u003Cfilename>_Translated.pdf` with:\n   - Page 1: Original document image\n   - Page 2: Professional English translation\n\nPerfect for visa applications to Australia, USA, Canada, UK, and other countries requiring translated documents.\n","You are helping translate visa application documents for visa applications.\n\n## Instructions\n\nWhen the user provides an image file path, AUTOMATICALLY execute the following steps WITHOUT asking for confirmation:\n\n1. **Image Conversion**: If the file is HEIC, convert it to PNG using `sips -s format png \u003Cinput> --out \u003Coutput>`\n\n2. **Image Rotation**:\n   - Check EXIF orientation data\n   - Automatically rotate the image based on EXIF data\n   - If EXIF orientation is 6, rotate 90 degrees counterclockwise\n   - Apply additional rotation as needed (test 180 degrees if document appears upside down)\n\n3. **OCR Text Extraction**:\n   - Try multiple OCR methods automatically:\n     - macOS Vision framework (preferred for macOS)\n     - EasyOCR (cross-platform, no tesseract required)\n     - Tesseract OCR (if available)\n   - Extract all text information from the document\n   - Identify document type (deposit certificate, employment certificate, retirement certificate, etc.)\n\n4. **Translation**:\n   - Translate all text content to English professionally\n   - Maintain the original document structure and format\n   - Use professional terminology appropriate for visa applications\n   - Keep proper names in original language with English in parentheses\n   - For Chinese names, use pinyin format (e.g., WU Zhengye)\n   - Preserve all numbers, dates, and amounts accurately\n\n5. **PDF Generation**:\n   - Create a Python script using PIL and reportlab libraries\n   - Page 1: Display the rotated original image, centered and scaled to fit A4 page\n   - Page 2: Display the English translation with proper formatting:\n     - Title centered and bold\n     - Content left-aligned with appropriate spacing\n     - Professional layout suitable for official documents\n   - Add a note at the bottom: \"This is a certified English translation of the original document\"\n   - Execute the script to generate the PDF\n\n6. **Output**: Create a PDF file named `\u003Coriginal_filename>_Translated.pdf` in the same directory\n\n## Supported Documents\n\n- Bank deposit certificates (存款证明)\n- Income certificates (收入证明)\n- Employment certificates (在职证明)\n- Retirement certificates (退休证明)\n- Property certificates (房产证明)\n- Business licenses (营业执照)\n- ID cards and passports\n- Other official documents\n\n## Technical Implementation\n\n### OCR Methods (tried in order)\n\n1. **macOS Vision Framework** (macOS only):\n   ```python\n   import Vision\n   from Foundation import NSURL\n   ```\n\n2. **EasyOCR** (cross-platform):\n   ```bash\n   pip install easyocr\n   ```\n\n3. **Tesseract OCR** (if available):\n   ```bash\n   brew install tesseract tesseract-lang\n   pip install pytesseract\n   ```\n\n### Required Python Libraries\n\n```bash\npip install pillow reportlab\n```\n\nFor macOS Vision framework:\n```bash\npip install pyobjc-framework-Vision pyobjc-framework-Quartz\n```\n\n## Important Guidelines\n\n- DO NOT ask for user confirmation at each step\n- Automatically determine the best rotation angle\n- Try multiple OCR methods if one fails\n- Ensure all numbers, dates, and amounts are accurately translated\n- Use clean, professional formatting\n- Complete the entire process and report the final PDF location\n\n## Example Usage\n\n```bash\n\u002Fvisa-doc-translate RetirementCertificate.PNG\n\u002Fvisa-doc-translate BankStatement.HEIC\n\u002Fvisa-doc-translate EmploymentLetter.jpg\n```\n\n## Output Example\n\nThe skill will:\n1. Extract text using available OCR method\n2. Translate to professional English\n3. Generate `\u003Cfilename>_Translated.pdf` with:\n   - Page 1: Original document image\n   - Page 2: Professional English translation\n\nPerfect for visa applications to Australia, USA, Canada, UK, and other countries requiring translated documents.\n",{"name":5,"description":7},"main","87afe6ce96220accf50a345dea46784c8c9f210e","YYC3-AI-应用工具\u002FYYC3-AI-应用工具-Everything-claude-code\u002Fskills\u002Fvisa-doc-translate",0,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base","https:\u002F\u002Fkb.yyc3.top\u002F","https:\u002F\u002Fgithub.com\u002FYYC-Cube","万象归元于云枢 | 深栈智启新纪元","2026-11-10 10:37:32",{"source":8,"skillName":5,"commands":34,"prompt":44,"zipAvailable":45},[35,38,41],{"tool":36,"command":37},"npx","npx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill visa-doc-translate",{"tool":39,"command":40},"bunx","bunx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill visa-doc-translate",{"tool":42,"command":43},"pnpm","pnpm dlx skills add YYC-Cube\u002FYYC3-Knowledge-Base --skill visa-doc-translate","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-AI-应用工具\u002FYYC3-AI-应用工具-Everything-claude-code\u002Fskills\u002Fvisa-doc-translate\u002FSKILL.md",true,[47],{"path":48,"resourceType":49,"resourceTypeDesc":50,"sizeBytes":51,"sourceHtmlUrl":52},"README.md","REFERENCE","参考文档",1836,"https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-AI-应用工具\u002FYYC3-AI-应用工具-Everything-claude-code\u002Fskills\u002Fvisa-doc-translate\u002FREADME.md",[54,61,68,75,82,89],{"skillNo":55,"name":56,"nameZh":6,"description":57,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":58,"categories":59,"keywords":60,"publishedAt":19},"01M7CTDWHERCXPQCP0K03A86AS","vercel-sandbox","Run agent-browser + Chrome inside Vercel Sandbox microVMs for browser automation from any Vercel-deployed app. Use when the user needs browser automation in a Vercel app (Next.js, SvelteKit, Nuxt, Remix, Astro, etc.), wants to run headless Chrome without binary size limits, needs persistent browser sessions across commands, or wants ephemeral isolated browser environments. Triggers include \"Vercel Sandbox browser\", \"microVM Chrome\", \"agent-browser in sandbox\", \"browser automation on Vercel\", or any task requiring Chrome in a Vercel Sandbox.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fvercel-sandbox\u002FSKILL.md",[],[],{"skillNo":62,"name":63,"nameZh":6,"description":64,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":65,"categories":66,"keywords":67,"publishedAt":19},"01M7CTD8D2BNJY54S65M47HEJA","slack","Interact with Slack workspaces using browser automation. Use when the user needs to check unread channels, navigate Slack, send messages, extract data, find information, search conversations, or automate any Slack task. Triggers include \"check my Slack\", \"what channels have unreads\", \"send a message to\", \"search Slack for\", \"extract from Slack\", \"find who said\", or any task requiring programmatic Slack interaction.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fslack\u002FSKILL.md",[],[],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":72,"categories":73,"keywords":74,"publishedAt":19},"01M7CTCSSB8ZP3Q58C3YZDZK1W","electron","Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include \"automate Slack app\", \"control VS Code\", \"interact with Discord app\", \"test this Electron app\", \"connect to desktop app\", or any task requiring automation of a native Electron application.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Felectron\u002FSKILL.md",[],[],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":81,"publishedAt":19},"01M7CTCBJY76688V4DCZGWFHGQ","dogfood","Systematically explore and test a web application to find bugs, UX issues, and other problems. Use when asked to \"dogfood\", \"QA\", \"exploratory test\", \"find issues\", \"bug hunt\", \"test this app\u002Fsite\u002Fplatform\", or review the quality of a web application. Produces a structured report with full reproduction evidence -- step-by-step screenshots, repro videos, and detailed repro steps for every issue -- so findings can be handed directly to the responsible teams.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fdogfood\u002FSKILL.md",[],[],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":88,"publishedAt":19},"01M7CTC4H0FFGVEAQR9PA4GA1A","agent-browser","Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to \"open a website\", \"fill out a form\", \"click a button\", \"take a screenshot\", \"scrape data from a page\", \"test this web app\", \"login to a site\", \"automate browser actions\", or any task requiring programmatic web interaction.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-WebSpec-Web标准\u002FYYC3-WebSpec-Web标准-standards\u002Fbrowser-agent\u002Fskills\u002Fagent-browser\u002FSKILL.md",[],[],{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":19},"01M7CTBKVFYBG78FDSABSDJTTQ","shadcn","Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI, including chat interfaces. Provides project context, component docs, and usage examples. Applies when working with shadcn\u002Fui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for \"shadcn init\", \"create an app with --preset\", \"switch to --preset\", and for building a design system or applying a DESIGN.md or brand spec to shadcn\u002Fui.","https:\u002F\u002Fgithub.com\u002FYYC-Cube\u002FYYC3-Knowledge-Base\u002Fblob\u002Fmain\u002FYYC3-UI-界面组件\u002FYYC3-UI-界面组件-ui\u002Fskills\u002Fshadcn\u002FSKILL.md",[],[]]