[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CD7RQZWT5NSYM04SWNJ8XS":3,"skill-same:01M6CD7RQZWT5NSYM04SWNJ8XS":114},{"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":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":50,"ownerDescription":51,"updatedAt":52,"install":53,"resources":66},"01M6CD7RQZWT5NSYM04SWNJ8XS","building-neural-networks",null,"This skill allows claude to construct and configure neural network architectures using the neural-network-builder plugin. it should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance...","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\u002Fneural-network-builder\u002Fskills\u002Fneural-network-builder\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32],"neural networks","networks","Neural","Building Neural Networks","plugin","network","Bash","configure","grep","read","write","edit","user","builder","2026-11-10 10:12:30",false,"---\ndescription: This skill allows claude to construct and configure neural network architectures\n  using the neural-network-builder plugin. it should be used when the user requests\n  the creation of a new neural network, modification of an existing one, or assistance...\nallowed-tools:\n- Read\n- Write\n- Edit\n- Grep\n- Glob\n- Bash\nname: building-neural-networks\nlicense: MIT\n---\n## Overview\n\nThis skill empowers Claude to design and implement neural networks tailored to specific tasks. It leverages the neural-network-builder plugin to automate the process of defining network architectures, configuring layers, and setting training parameters. This ensures efficient and accurate creation of neural network models.\n\n## How It Works\n\n1. **Analyzing Requirements**: Claude analyzes the user's request to understand the desired neural network architecture, task, and performance goals.\n2. **Generating Configuration**: Based on the analysis, Claude generates the appropriate configuration for the neural-network-builder plugin, specifying the layers, activation functions, and other relevant parameters.\n3. **Executing Build**: Claude executes the `build-nn` command, triggering the neural-network-builder plugin to construct the neural network based on the generated configuration.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Create a new neural network architecture for a specific machine learning task.\n- Modify an existing neural network's layers, parameters, or training process.\n- Design a neural network using specific layer types, such as convolutional, recurrent, or transformer layers.\n\n## Examples\n\n### Example 1: Image Classification\n\nUser request: \"Build a convolutional neural network for image classification with three convolutional layers and two fully connected layers.\"\n\nThe skill will:\n1. Analyze the request and determine the required CNN architecture.\n2. Generate the configuration for the `build-nn` command, specifying the layer types, filter sizes, and activation functions.\n\n### Example 2: Text Generation\n\nUser request: \"Define an RNN architecture for text generation with LSTM cells and an embedding layer.\"\n\nThe skill will:\n1. Analyze the request and determine the required RNN architecture.\n2. Generate the configuration for the `build-nn` command, specifying the LSTM cell parameters, embedding dimension, and output layer.\n\n## Best Practices\n\n- **Layer Selection**: Choose appropriate layer types (e.g., convolutional, recurrent, transformer) based on the task and data characteristics.\n- **Parameter Tuning**: Experiment with different parameter values (e.g., learning rate, batch size, number of layers) to optimize performance.\n- **Regularization**: Implement regularization techniques (e.g., dropout, L1\u002FL2 regularization) to prevent overfitting.\n\n## Integration\n\nThis skill integrates with the core Claude Code environment by utilizing the `build-nn` command provided by the neural-network-builder plugin. It can be combined with other skills for data preprocessing, model evaluation, and deployment.","## Overview\n\nThis skill empowers Claude to design and implement neural networks tailored to specific tasks. It leverages the neural-network-builder plugin to automate the process of defining network architectures, configuring layers, and setting training parameters. This ensures efficient and accurate creation of neural network models.\n\n## How It Works\n\n1. **Analyzing Requirements**: Claude analyzes the user's request to understand the desired neural network architecture, task, and performance goals.\n2. **Generating Configuration**: Based on the analysis, Claude generates the appropriate configuration for the neural-network-builder plugin, specifying the layers, activation functions, and other relevant parameters.\n3. **Executing Build**: Claude executes the `build-nn` command, triggering the neural-network-builder plugin to construct the neural network based on the generated configuration.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Create a new neural network architecture for a specific machine learning task.\n- Modify an existing neural network's layers, parameters, or training process.\n- Design a neural network using specific layer types, such as convolutional, recurrent, or transformer layers.\n\n## Examples\n\n### Example 1: Image Classification\n\nUser request: \"Build a convolutional neural network for image classification with three convolutional layers and two fully connected layers.\"\n\nThe skill will:\n1. Analyze the request and determine the required CNN architecture.\n2. Generate the configuration for the `build-nn` command, specifying the layer types, filter sizes, and activation functions.\n\n### Example 2: Text Generation\n\nUser request: \"Define an RNN architecture for text generation with LSTM cells and an embedding layer.\"\n\nThe skill will:\n1. Analyze the request and determine the required RNN architecture.\n2. Generate the configuration for the `build-nn` command, specifying the LSTM cell parameters, embedding dimension, and output layer.\n\n## Best Practices\n\n- **Layer Selection**: Choose appropriate layer types (e.g., convolutional, recurrent, transformer) based on the task and data characteristics.\n- **Parameter Tuning**: Experiment with different parameter values (e.g., learning rate, batch size, number of layers) to optimize performance.\n- **Regularization**: Implement regularization techniques (e.g., dropout, L1\u002FL2 regularization) to prevent overfitting.\n\n## Integration\n\nThis skill integrates with the core Claude Code environment by utilizing the `build-nn` command provided by the neural-network-builder plugin. It can be combined with other skills for data preprocessing, model evaluation, and deployment.",{"name":5,"license":15,"description":7,"allowed-tools":38},[39,40,41,42,43,25],"Read","Write","Edit","Grep","Glob","main","01d3fafeca1133f841956b8b90b939fee92d71e7","plugins\u002Fclaude-code-plugins-plus\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fneural-network-builder",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":54,"prompt":64,"zipAvailable":65},[55,58,61],{"tool":56,"command":57},"npx","npx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill building-neural-networks",{"tool":59,"command":60},"bunx","bunx skills add BbgnsurfTech\u002Fclaude-skills-collection --skill building-neural-networks",{"tool":62,"command":63},"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",[121],{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",[127,128,129,30,27,28,29,130,131,132,133,134,135,25],"testing visual 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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",[161,162],{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},{"categoryNo":163,"categoryName":164,"taxonomyType":165,"taxonomyTypeDesc":166},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[132,168,169,170,171,130,152,30,172,29,28,173,25,174,146,147,175,128,27],"reports","Generating Test Reports","test report","specialized","report","visualizations","metrics","documentation",{"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":183,"publishedAt":33},"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",[182],{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},[184,185,132,28,130,30,29,171,27,186,25,187,188,128],"orchestrating test execution","execution","parallel","orchestrate","run",{"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":33},"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",[195],{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},[197,132,30,29,28,171,27,25,198,199,200,128,201,202,130],"Managing Test Environments","data","infrastructure","setup","environment","manage",{"skillNo":204,"name":205,"nameZh":6,"description":206,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":207,"categories":208,"keywords":210,"publishedAt":33},"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",[209],{"categoryNo":122,"categoryName":123,"taxonomyType":124,"taxonomyTypeDesc":125},[132,211,212,130,30,29,28,27,25,146,147,200],"Generating Test Doubles","dependency"]