[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DAZF9JXZDA7AZ3MS5HQFNP":3,"skill-same:01M6DAZF9JXZDA7AZ3MS5HQFNP":64},{"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":23,"publishedAt":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":14,"repositoryHtmlUrl":41,"repositoryHomepageUrl":6,"ownerHtmlUrl":42,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":43,"install":44,"resources":57},"01M6DAZF9JXZDA7AZ3MS5HQFNP","visa-doc-translate",null,"Translate visa application documents (images) to English and create a bilingual PDF with original and translation","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Fvisa-doc-translate\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32],"translate","doc","visa doc translate","PDF","documents","create","images","translation","application","2026-11-10 10:12:30",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","a298c929b6cbd662e1fce54302ce520d5ceea1a5",".agents\u002Flibrary\u002Fskills\u002Fvisa-doc-translate","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill visa-doc-translate",{"tool":50,"command":51},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill visa-doc-translate",{"tool":53,"command":54},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill visa-doc-translate","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Fvisa-doc-translate\u002FSKILL.md",true,[58],{"path":59,"resourceType":60,"resourceTypeDesc":61,"sizeBytes":62,"sourceHtmlUrl":63},"README.md","REFERENCE","参考文档",1906,"https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Fvisa-doc-translate\u002FREADME.md",[65,87,116,143,157,173],{"skillNo":66,"name":67,"nameZh":6,"description":68,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":69,"categories":70,"keywords":71,"publishedAt":33},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[72,73,74,75,76,77,78,79,80,81,82,83,84,85,86],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","execution","file",{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":96,"publishedAt":33},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[93],{"categoryNo":94,"categoryName":95,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[97,98,99,100,101,102,103,104,105,106,107,108,109,110,81,111,112,113,114,115],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":128,"publishedAt":33},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[122,125],{"categoryNo":123,"categoryName":124,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":126,"categoryName":127,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[129,130,131,132,133,134,135,136,137,138,98,139,140,141,142],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":149,"publishedAt":33},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[145,150,151,152,153,154,155,156],"setup","report","project","installation","project setup","issues","state",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":164,"publishedAt":33},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[163],{"categoryNo":94,"categoryName":95,"taxonomyType":21,"taxonomyTypeDesc":22},[159,165,77,166,167,168,81,169,170,171,172],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":174,"name":150,"nameZh":6,"description":175,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":176,"categories":177,"keywords":178,"publishedAt":33},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[150,152,113,179,154,180],"files","interactive"]