[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CD5XEG7P7JFCN32A8MP9WK":3,"skill-same:01M6CD5XEG7P7JFCN32A8MP9WK":101},{"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":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":54,"ownerDescription":55,"updatedAt":56,"install":57,"resources":70},"01M6CD5XEG7P7JFCN32A8MP9WK","processing-computer-vision-tasks",null,"Process images using object detection, classification, and segmentation. Use when requesting \"analyze image\", \"object detection\", \"image classification\", or \"computer vision\".","BbgnsurfTech\u002Fclaude-skills-collection","BbgnsurfTech","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F59598605?v=4","01M6C5ZT4G3G4QPQB64QDVW438","Bbgnsurf Technologies","01M6C5ZT8JN4VWSZZH3DD8J4EG",29,"MIT","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fcomputer-vision-processor\u002Fskills\u002Fcomputer-vision-processor\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41],"tasks","Processing Computer Vision Tasks","vision","computer","Computer Vision","segmentation","classification","Bash","analyze","detection","grep","read","write","edit","process","use","images","image","2026-11-10 10:12:30",false,"---\nname: processing-computer-vision-tasks\ndescription: Process images using object detection, classification, and segmentation.\n  Use when requesting \"analyze image\", \"object detection\", \"image classification\",\n  or \"computer vision\".\nallowed-tools: Read, Write, Edit, Grep, Glob, Bash\nlicense: MIT\n---\n## Overview\n\nThis skill empowers Claude to leverage the computer-vision-processor plugin to analyze images, detect objects, and extract meaningful information. It automates computer vision workflows, optimizes performance, and provides detailed insights based on image content.\n\n## How It Works\n\n1. **Analyzing the Request**: Claude identifies the need for computer vision processing based on the user's request and trigger terms.\n2. **Generating Code**: Claude generates the appropriate Python code to interact with the computer-vision-processor plugin, specifying the desired analysis type (e.g., object detection, image classification).\n3. **Executing the Task**: The generated code is executed using the `\u002Fprocess-vision` command, which processes the image and returns the results.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Analyze an image for specific objects or features.\n- Classify an image into predefined categories.\n- Segment an image to identify different regions or objects.\n\n## Examples\n\n### Example 1: Object Detection\n\nUser request: \"Analyze this image and identify all the cars and pedestrians.\"\n\nThe skill will:\n1. Generate code to perform object detection on the provided image using the computer-vision-processor plugin.\n2. Return a list of bounding boxes and labels for each detected car and pedestrian.\n\n### Example 2: Image Classification\n\nUser request: \"Classify this image. Is it a cat or a dog?\"\n\nThe skill will:\n1. Generate code to perform image classification on the provided image using the computer-vision-processor plugin.\n2. Return the classification result (e.g., \"cat\" or \"dog\") along with a confidence score.\n\n## Best Practices\n\n- **Data Validation**: Always validate the input image to ensure it's in a supported format and resolution.\n- **Error Handling**: Implement robust error handling to gracefully manage potential issues during image processing.\n- **Performance Optimization**: Choose the appropriate computer vision techniques and parameters to optimize performance for the specific task.\n\n## Integration\n\nThis skill utilizes the `\u002Fprocess-vision` command provided by the computer-vision-processor plugin. It can be integrated with other skills to further process the results of the computer vision analysis, such as generating reports or triggering actions based on detected objects.","## Overview\n\nThis skill empowers Claude to leverage the computer-vision-processor plugin to analyze images, detect objects, and extract meaningful information. It automates computer vision workflows, optimizes performance, and provides detailed insights based on image content.\n\n## How It Works\n\n1. **Analyzing the Request**: Claude identifies the need for computer vision processing based on the user's request and trigger terms.\n2. **Generating Code**: Claude generates the appropriate Python code to interact with the computer-vision-processor plugin, specifying the desired analysis type (e.g., object detection, image classification).\n3. **Executing the Task**: The generated code is executed using the `\u002Fprocess-vision` command, which processes the image and returns the results.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Analyze an image for specific objects or features.\n- Classify an image into predefined categories.\n- Segment an image to identify different regions or objects.\n\n## Examples\n\n### Example 1: Object Detection\n\nUser request: \"Analyze this image and identify all the cars and pedestrians.\"\n\nThe skill will:\n1. Generate code to perform object detection on the provided image using the computer-vision-processor plugin.\n2. Return a list of bounding boxes and labels for each detected car and pedestrian.\n\n### Example 2: Image Classification\n\nUser request: \"Classify this image. Is it a cat or a dog?\"\n\nThe skill will:\n1. Generate code to perform image classification on the provided image using the computer-vision-processor plugin.\n2. Return the classification result (e.g., \"cat\" or \"dog\") along with a confidence score.\n\n## Best Practices\n\n- **Data Validation**: Always validate the input image to ensure it's in a supported format and resolution.\n- **Error Handling**: Implement robust error handling to gracefully manage potential issues during image processing.\n- **Performance Optimization**: Choose the appropriate computer vision techniques and parameters to optimize performance for the specific task.\n\n## Integration\n\nThis skill utilizes the `\u002Fprocess-vision` command provided by the computer-vision-processor plugin. It can be integrated with other skills to further process the results of the computer vision analysis, such as generating reports or triggering actions based on detected objects.",{"name":5,"license":15,"description":7,"allowed-tools":47},"Read, Write, Edit, Grep, Glob, Bash","main","01d3fafeca1133f841956b8b90b939fee92d71e7","plugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fcomputer-vision-processor\u002Fskills\u002Fcomputer-vision-processor",9,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech","www.bbgnsurf.com","An ICT solutions provider and software development company","2025-12-18 20:19:58",{"source":8,"skillName":5,"commands":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill processing-computer-vision-tasks",{"tool":63,"command":64},"bunx","bunx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill processing-computer-vision-tasks",{"tool":66,"command":67},"pnpm","pnpm dlx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill 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visual changes in UI components using screenshot comparison.\nUse when detecting unintended UI changes or pixel differences.\nTrigger with phrases like \"test visual changes\", \"compare screenshots\", or \"detect UI regressions\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Fvisual-regression-tester\u002Fskills\u002Fvisual-regression-tester\u002FSKILL.md",[108],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[112,113,114,37,34,35,36,39,115,116,117,118,119,31],"testing visual regression","testing","regression","components","test","screenshots","screenshot","ui",{"skillNo":121,"name":122,"nameZh":6,"description":123,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":127,"publishedAt":42},"01M6CDVT4S54EMAPZ231KSP2XQ","generating-unit-tests","Automatically generate comprehensive unit tests from source code covering happy paths, edge cases, and error conditions.\nUse when creating test coverage for functions, classes, or modules.\nTrigger with phrases like \"generate unit tests\", \"create tests for\", or \"add test coverage\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Funit-test-generator\u002Fskills\u002Funit-test-generator\u002FSKILL.md",[126],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},[128,129,130,131,132,116,37,133,134,135,39,136,137,36,35,34,31,138],"unit tests","Generating Unit Tests","generate","create","add test","functions","modules","test coverage","coverage","code","edge",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":151,"publishedAt":42},"01M6CDVPQKGQ450Q50ZC84FPMR","generating-test-reports","Generate comprehensive test reports with metrics, coverage, and visualizations.\nUse when performing specialized testing.\nTrigger with phrases like \"generate test report\", \"create test documentation\", or \"show test metrics\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Ftest-report-generator\u002Fskills\u002Ftest-report-generator\u002FSKILL.md",[145,146],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":147,"categoryName":148,"taxonomyType":149,"taxonomyTypeDesc":150},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[116,152,153,154,155,39,136,37,156,36,35,157,31,158,130,131,159,113,34],"reports","Generating Test Reports","test report","specialized","report","visualizations","metrics","documentation",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":167,"publishedAt":42},"01M6CDVK97VFZ53CEYEGQ4QFZ6","orchestrating-test-execution","Coordinate parallel test execution across multiple environments and frameworks.\nUse when performing specialized testing.\nTrigger with phrases like \"orchestrate tests\", \"run parallel tests\", or \"coordinate test execution\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Ftest-orchestrator\u002Fskills\u002Ftest-orchestrator\u002FSKILL.md",[166],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},[168,169,116,35,39,37,36,155,34,170,31,171,172,113],"orchestrating test execution","execution","parallel","orchestrate","run",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":177,"categories":178,"keywords":180,"publishedAt":42},"01M6CDVFTCBQ65TGB1YJCZB90G","managing-test-environments","Provision and manage isolated test environments with configuration and data.\nUse when performing specialized testing.\nTrigger with phrases like \"manage test environment\", \"provision test env\", or \"setup test infrastructure\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Ftest-environment-manager\u002Fskills\u002Ftest-environment-manager\u002FSKILL.md",[179],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},[181,116,37,36,35,155,34,31,182,183,184,113,185,186,39],"Managing Test Environments","data","infrastructure","setup","environment","manage",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":194,"publishedAt":42},"01M6CDVD0NPFXVEQGT9CMF02H0","generating-test-doubles","Generate mocks, stubs, spies, and fakes for dependency isolation.\nUse when creating mocks, stubs, or test isolation fixtures.\nTrigger with phrases like \"generate mocks\", \"create test doubles\", or \"setup stubs\".","https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Ftesting\u002Ftest-doubles-generator\u002Fskills\u002Ftest-doubles-generator\u002FSKILL.md",[193],{"categoryNo":109,"categoryName":110,"taxonomyType":21,"taxonomyTypeDesc":22},[116,195,196,39,37,36,35,34,31,130,131,184],"Generating Test Doubles","dependency"]