[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CD69RFF697M53VNF16Z2A1":3,"skill-same:01M6CD69RFF697M53VNF16Z2A1":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":18,"publishedAt":34,"linkOnly":35,"markdownContent":36,"markdownBody":37,"frontMatter":38,"refName":40,"commitSha":41,"skillDirectory":42,"forksCount":43,"repositoryHtmlUrl":44,"repositoryHomepageUrl":6,"ownerHtmlUrl":45,"ownerBlogUrl":46,"ownerDescription":47,"updatedAt":48,"install":49,"resources":62},"01M6CD69RFF697M53VNF16Z2A1","optimizing-deep-learning-models",null,"Optimize deep learning models using Adam, SGD, and learning rate scheduling to improve accuracy and reduce training time. Use when asked to \"optimize deep learning model\" or \"improve model performance\".","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\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33],"deep learning","learning","models","Optimizing Deep Learning Models","performance","training","Bash","improve","model","grep","read","write","edit","use","scheduling","2026-11-10 10:12:30",false,"---\nname: optimizing-deep-learning-models\ndescription: Optimize deep learning models using Adam, SGD, and learning rate scheduling\n  to improve accuracy and reduce training time. Use when asked to \"optimize deep learning\n  model\" or \"improve model performance\".\nallowed-tools: Read, Write, Edit, Grep, Glob, Bash\nlicense: MIT\n---\n## Overview\n\nThis skill empowers Claude to automatically optimize deep learning models, enhancing their performance and efficiency. It intelligently applies various optimization techniques based on the model's characteristics and the user's objectives.\n\n## How It Works\n\n1. **Analyze Model**: Examines the deep learning model's architecture, training data, and performance metrics.\n2. **Identify Optimizations**: Determines the most effective optimization strategies based on the analysis, such as adjusting the learning rate, applying regularization techniques, or modifying the optimizer.\n3. **Apply Optimizations**: Generates optimized code that implements the chosen strategies.\n4. **Evaluate Performance**: Assesses the impact of the optimizations on model performance, providing metrics like accuracy, training time, and resource consumption.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Optimize the performance of a deep learning model.\n- Reduce the training time of a deep learning model.\n- Improve the accuracy of a deep learning model.\n- Optimize the learning rate for a deep learning model.\n- Reduce resource consumption during deep learning model training.\n\n## Examples\n\n### Example 1: Improving Model Accuracy\n\nUser request: \"Optimize this deep learning model for improved image classification accuracy.\"\n\nThe skill will:\n1. Analyze the model and identify potential areas for improvement, such as adjusting the learning rate or adding regularization.\n2. Apply the selected optimization techniques and generate optimized code.\n3. Evaluate the model's performance and report the improved accuracy.\n\n### Example 2: Reducing Training Time\n\nUser request: \"Reduce the training time of this deep learning model.\"\n\nThe skill will:\n1. Analyze the model and identify bottlenecks in the training process.\n2. Apply techniques like batch size adjustment or optimizer selection to reduce training time.\n3. Evaluate the model's performance and report the reduced training time.\n\n## Best Practices\n\n- **Optimizer Selection**: Experiment with different optimizers (e.g., Adam, SGD) to find the best fit for the model and dataset.\n- **Learning Rate Scheduling**: Implement learning rate scheduling to dynamically adjust the learning rate during training.\n- **Regularization**: Apply regularization techniques (e.g., L1, L2 regularization) to prevent overfitting.\n\n## Integration\n\nThis skill can be integrated with other plugins that provide model building and data preprocessing capabilities. It can also be used in conjunction with monitoring tools to track the performance of optimized models.","## Overview\n\nThis skill empowers Claude to automatically optimize deep learning models, enhancing their performance and efficiency. It intelligently applies various optimization techniques based on the model's characteristics and the user's objectives.\n\n## How It Works\n\n1. **Analyze Model**: Examines the deep learning model's architecture, training data, and performance metrics.\n2. **Identify Optimizations**: Determines the most effective optimization strategies based on the analysis, such as adjusting the learning rate, applying regularization techniques, or modifying the optimizer.\n3. **Apply Optimizations**: Generates optimized code that implements the chosen strategies.\n4. **Evaluate Performance**: Assesses the impact of the optimizations on model performance, providing metrics like accuracy, training time, and resource consumption.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Optimize the performance of a deep learning model.\n- Reduce the training time of a deep learning model.\n- Improve the accuracy of a deep learning model.\n- Optimize the learning rate for a deep learning model.\n- Reduce resource consumption during deep learning model training.\n\n## Examples\n\n### Example 1: Improving Model Accuracy\n\nUser request: \"Optimize this deep learning model for improved image classification accuracy.\"\n\nThe skill will:\n1. Analyze the model and identify potential areas for improvement, such as adjusting the learning rate or adding regularization.\n2. Apply the selected optimization techniques and generate optimized code.\n3. Evaluate the model's performance and report the improved accuracy.\n\n### Example 2: Reducing Training Time\n\nUser request: \"Reduce the training time of this deep learning model.\"\n\nThe skill will:\n1. Analyze the model and identify bottlenecks in the training process.\n2. Apply techniques like batch size adjustment or optimizer selection to reduce training time.\n3. Evaluate the model's performance and report the reduced training time.\n\n## Best Practices\n\n- **Optimizer Selection**: Experiment with different optimizers (e.g., Adam, SGD) to find the best fit for the model and dataset.\n- **Learning Rate Scheduling**: Implement learning rate scheduling to dynamically adjust the learning rate during training.\n- **Regularization**: Apply regularization techniques (e.g., L1, L2 regularization) to prevent overfitting.\n\n## Integration\n\nThis skill can be integrated with other plugins that provide model building and data preprocessing capabilities. It can also be used in conjunction with monitoring tools to track the performance of optimized models.",{"name":5,"license":15,"description":7,"allowed-tools":39},"Read, Write, Edit, Grep, Glob, Bash","main","01d3fafeca1133f841956b8b90b939fee92d71e7","plugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer",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":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill optimizing-deep-learning-models",{"tool":55,"command":56},"bunx","bunx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill optimizing-deep-learning-models",{"tool":58,"command":59},"pnpm","pnpm dlx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill optimizing-deep-learning-models","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002FSKILL.md",true,[63,69,73,79,85,89,93,97],{"path":64,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":67,"sourceHtmlUrl":68},"assets\u002Foptimization_config.json","ASSET","资产文件",2648,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002Fassets\u002Foptimization_config.json",{"path":70,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":71,"sourceHtmlUrl":72},"assets\u002FREADME.md",372,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002Fassets\u002FREADME.md",{"path":74,"resourceType":75,"resourceTypeDesc":76,"sizeBytes":77,"sourceHtmlUrl":78},"references\u002FREADME.md","REFERENCE","参考文档",480,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002Freferences\u002FREADME.md",{"path":80,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":83,"sourceHtmlUrl":84},"scripts\u002Fanalyze_model.py","SCRIPT","脚本",4844,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002Fscripts\u002Fanalyze_model.py",{"path":86,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":87,"sourceHtmlUrl":88},"scripts\u002Flearning_rate_scheduler.py",2893,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002Fscripts\u002Flearning_rate_scheduler.py",{"path":90,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":91,"sourceHtmlUrl":92},"scripts\u002Fmodel_validation.py",2937,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002Fscripts\u002Fmodel_validation.py",{"path":94,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":95,"sourceHtmlUrl":96},"scripts\u002Foptimize_model.py",2919,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002Fscripts\u002Foptimize_model.py",{"path":98,"resourceType":81,"resourceTypeDesc":82,"sizeBytes":99,"sourceHtmlUrl":100},"scripts\u002FREADME.md",563,"https:\u002F\u002Fgithub.com\u002FBbgnsurfTech\u002Fclaude-skills-collection\u002Fblob\u002Fmain\u002Fplugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fdeep-learning-optimizer\u002Fskills\u002Fdeep-learning-optimizer\u002Fscripts\u002FREADME.md",[102,122,141,162,175,189],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":113,"publishedAt":34},"01M6CDVX5RHG36WP2Z7X8WAYYA","testing-visual-regression","Detect 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":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",[114,115,116,31,28,29,30,32,117,118,119,120,121,25],"testing visual regression","testing","regression","components","test","screenshots","screenshot","ui",{"skillNo":123,"name":124,"nameZh":6,"description":125,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":126,"categories":127,"keywords":129,"publishedAt":34},"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",[128],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},[130,131,132,133,134,118,31,135,136,137,32,138,139,30,29,28,25,140],"unit tests","Generating Unit Tests","generate","create","add test","functions","modules","test coverage","coverage","code","edge",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":153,"publishedAt":34},"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",[147,148],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},{"categoryNo":149,"categoryName":150,"taxonomyType":151,"taxonomyTypeDesc":152},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[118,154,155,156,157,32,138,31,158,30,29,159,25,160,132,133,161,115,28],"reports","Generating Test Reports","test report","specialized","report","visualizations","metrics","documentation",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":169,"publishedAt":34},"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",[168],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},[170,171,118,29,32,31,30,157,28,172,25,173,174,115],"orchestrating test execution","execution","parallel","orchestrate","run",{"skillNo":176,"name":177,"nameZh":6,"description":178,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":179,"categories":180,"keywords":182,"publishedAt":34},"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",[181],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},[183,118,31,30,29,157,28,25,184,185,186,115,187,188,32],"Managing Test Environments","data","infrastructure","setup","environment","manage",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":196,"publishedAt":34},"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",[195],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},[118,197,198,32,31,30,29,28,25,132,133,186],"Generating Test Doubles","dependency"]