[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FBCVTNE3H3M9FVDCDS6VJ1":3,"skill-same:01M6FBCVTNE3H3M9FVDCDS6VJ1":72},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":54,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6FBCVTNE3H3M9FVDCDS6VJ1","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 with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like \"build a neural network,\" \"define network architecture,\" \"configure layers,\" or specific mentions of neural network types (e.g., \"CNN,\" \"RNN,\" \"transformer\").","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fneural-network-builder\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"neural networks","networks","Neural","Building Neural Networks","with","architecture","types","RNN","Transformer","architectures","cnn","neural network","creation","define","build","builder","configure","network","training","plugin","2026-11-10 10:12:30",false,"---\nname: building-neural-networks\ndescription: |\n  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 with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like \"build a neural network,\" \"define network architecture,\" \"configure layers,\" or specific mentions of neural network types (e.g., \"CNN,\" \"RNN,\" \"transformer\").\n---\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.\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.\n",{"name":5,"description":7},"main","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fneural-network-builder",24,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub","https:\u002F\u002Fskillshub.wtf","https:\u002F\u002Fgithub.com\u002FComeOnOliver","AI & Blockchain Engineer\r\n","2026-06-24 22:07:19",{"source":8,"skillName":5,"commands":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add ComeOnOliver\u002Fskillshub --skill building-neural-networks",{"tool":64,"command":65},"bunx","bunx skills add ComeOnOliver\u002Fskillshub --skill building-neural-networks",{"tool":67,"command":68},"pnpm","pnpm dlx skills add ComeOnOliver\u002Fskillshub --skill building-neural-networks","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fjeremylongshore\u002Fclaude-code-plugins-plus-skills\u002Fneural-network-builder\u002FSKILL.md",true,[],[73,83,93,102,108,115],{"skillNo":74,"name":75,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":79,"publishedAt":44},"01M6FKJN13GMG4KY57J3QD8GY5","model-hierarchy-skill","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzscole\u002Fmodel-hierarchy-skill\u002Fmodel-hierarchy-skill\u002FSKILL.md",[78],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[80,81,82],"model","model hierarchy","model hierarchy skill",{"skillNo":84,"name":85,"nameZh":6,"description":6,"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":89,"publishedAt":44},"01M6FKJJJ6GCAMR4PPPRD12M5X","zoom-mcp","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-mcp\u002FSKILL.md",[88],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[90,91,92],"MCP","zoom","zoom mcp",{"skillNo":94,"name":95,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":96,"categories":97,"keywords":98,"publishedAt":44},"01M6FKJE3KYT3KPEZMEEHYKA6K","zoom-apps-sdk","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-apps-sdk\u002FSKILL.md",[],[99,100,101,91],"sdk","zoom apps sdk","apps",{"skillNo":103,"name":104,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":44},"01M6FKJ9EDH9Q5VWDF8HAJRSP0","windows","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwindows\u002FSKILL.md",[],[104],{"skillNo":109,"name":110,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":114,"publishedAt":44},"01M6FKJ666BEEFC3AE9GJ72Q93","whiteboard","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwhiteboard\u002FSKILL.md",[113],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[110],{"skillNo":116,"name":117,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":120,"publishedAt":44},"01M6FKJ21WFCDGTJQ2Q91T9DVW","websockets","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwebsockets\u002FSKILL.md",[],[117]]