[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CGS9JHXF2GVV64EZ0H0SME":3,"skill-same:01M6CGS9JHXF2GVV64EZ0H0SME":125},{"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":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":61,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6CGS9JHXF2GVV64EZ0H0SME","building-neural-networks",null,"Execute this skill allows AI assistant 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... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.","Dicklesworthstone\u002Fpi_agent_rust","Dicklesworthstone","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F35050222?v=4","01M6CG26AR942CSVMN1M5E3DSE","Jeff Emanuel","01M6CG26EPP71PSHW1VDS71121",1992,"MIT","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"neural networks","networks","Building Neural Networks","Neural","new","assistant","when","relevant","architectures","neural network","io","creation","builder","use","execute","user","context","edit","write","read","cmd","grep","configure","Bash","ai assistant","network","plugin","2026-11-10 10:12:30",false,"---\nname: building-neural-networks\ndescription: |\n  Execute this skill allows AI assistant 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... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.\nallowed-tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*)\nversion: 1.0.0\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\nlicense: MIT\n---\n# Neural Network Builder\n\nThis skill provides automated assistance for neural network builder tasks.\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\n## Prerequisites\n\n- Appropriate file access permissions\n- Required dependencies installed\n\n## Instructions\n\n1. Invoke this skill when the trigger conditions are met\n2. Provide necessary context and parameters\n3. Review the generated output\n4. Apply modifications as needed\n\n## Output\n\nThe skill produces structured output relevant to the task.\n\n## Error Handling\n\n- Invalid input: Prompts for correction\n- Missing dependencies: Lists required components\n- Permission errors: Suggests remediation steps\n\n## Resources\n\n- Project documentation\n- Related skills and commands","# Neural Network Builder\n\nThis skill provides automated assistance for neural network builder tasks.\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\n## Prerequisites\n\n- Appropriate file access permissions\n- Required dependencies installed\n\n## Instructions\n\n1. Invoke this skill when the trigger conditions are met\n2. Provide necessary context and parameters\n3. Review the generated output\n4. Apply modifications as needed\n\n## Output\n\nThe skill produces structured output relevant to the task.\n\n## Error Handling\n\n- Invalid input: Prompts for correction\n- Missing dependencies: Lists required components\n- Permission errors: Suggests remediation steps\n\n## Resources\n\n- Project documentation\n- Related skills and commands",{"name":5,"author":51,"license":15,"version":52,"description":53,"allowed-tools":54},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Execute this skill allows AI assistant 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... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.\n","Read, Write, Edit, Grep, Glob, Bash(cmd:*)","main","7439377908fdee98c9bb5863391212b95453de95","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks",233,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust","https:\u002F\u002Fgithub.com\u002FDicklesworthstone","https:\u002F\u002Fwww.jeffreyemanuel.com\u002F","Building in NY","2026-11-15 01:54:15",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill building-neural-networks",{"tool":70,"command":71},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill building-neural-networks",{"tool":73,"command":74},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill building-neural-networks","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002FSKILL.md",true,[78,84,89,95,101,105,109,113,117,121],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"assets\u002FREADME.md","ASSET","资产文件",412,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002Fassets\u002FREADME.md",{"path":85,"resourceType":85,"resourceTypeDesc":86,"sizeBytes":87,"sourceHtmlUrl":88},"LICENSE","许可证",1071,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-client-onboarding-plan\u002FLICENSE",{"path":90,"resourceType":91,"resourceTypeDesc":92,"sizeBytes":93,"sourceHtmlUrl":94},"references\u002FREADME.md","REFERENCE","参考文档",611,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002Freferences\u002FREADME.md",{"path":96,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":99,"sourceHtmlUrl":100},"scripts\u002Fbuild_network.py","SCRIPT","脚本",2870,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002Fscripts\u002Fbuild_network.py",{"path":102,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":103,"sourceHtmlUrl":104},"scripts\u002Fevaluate_network.py",2874,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002Fscripts\u002Fevaluate_network.py",{"path":106,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":107,"sourceHtmlUrl":108},"scripts\u002FREADME.md",500,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002Fscripts\u002FREADME.md",{"path":110,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":111,"sourceHtmlUrl":112},"scripts\u002Ftrain_network.py",2880,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002Fscripts\u002Ftrain_network.py",{"path":114,"resourceType":97,"resourceTypeDesc":98,"sizeBytes":115,"sourceHtmlUrl":116},"scripts\u002Fvisualize_network.py",2896,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fai-ml\u002Fneural-network-builder\u002Fskills\u002Fbuilding-neural-networks\u002Fscripts\u002Fvisualize_network.py",{"path":118,"resourceType":91,"resourceTypeDesc":92,"sizeBytes":119,"sourceHtmlUrl":120},"SOURCE.md",429,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-client-onboarding-plan\u002FSOURCE.md",{"path":122,"resourceType":91,"resourceTypeDesc":92,"sizeBytes":123,"sourceHtmlUrl":124},"TRUST.auto.yaml",2217,"https:\u002F\u002Fgithub.com\u002Fjiayaoqijia\u002Fcryptoskill\u002Fblob\u002Fmain\u002Fskills\u002Fmcp-servers\u002Fdanthamanvoiss-client-onboarding-plan\u002FTRUST.auto.yaml",[126,165,190,214,240,262],{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":130,"licenseFileUrl":131,"sourceHtmlUrl":132,"categories":133,"keywords":139,"publishedAt":46},"01M6FEGPPK0ZTKCCM0R3E3KS33","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Futilities\u002Fweb-artifacts-builder\u002FSKILL.md",[134],{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[140,141,142,143,31,144,145,146,147,148,149,150,151,152,153,154,155,156,32,157,158,159,160,161,162,163,164],"web artifacts builder","web","artifacts","artifacts builder","frontend","css","components","react","component","routing","state management","state","shadcn","file","ui","Tools","Tailwind","html","single-file","simple","ui components","multi","for","jsx","suite",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":130,"licenseFileUrl":169,"sourceHtmlUrl":170,"categories":171,"keywords":176,"publishedAt":46},"01M6FEE9VTK1W4GY21AKREJXRG","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fsecurity\u002Fwebapp-testing\u002FSKILL.md",[172,175],{"categoryNo":173,"categoryName":174,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},[177,178,179,144,180,181,141,182,183,184,154,185,186,187,188,189,162],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local","with",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":194,"sourceHtmlUrl":195,"categories":196,"keywords":197,"publishedAt":46},"01M6FE20F7ZTQBFWKF4MPJ2SBX","neuropixels-analysis","Neuropixels neural recording analysis. Load SpikeGLX\u002FOpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen\u002FIBL curation, AI-assisted visual analysis, for Neuropixels 1.0\u002F2.0 extracellular electrophysiology. Use when working with neural recordings, spike sorting, extracellular electrophysiology, or when the user mentions Neuropixels, SpikeGLX, Open Ephys, Kilosort, quality metrics, or unit curation.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fscientific\u002Fneuropixels-analysis\u002FSKILL.md",[],[198,199,200,201,202,203,204,34,32,205,22,206,207,208,209,210,189,211,212,213,162,25],"analysis","neuropixels analysis","spike","metrics","data","open","quality","recordings","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":215,"name":216,"nameZh":6,"description":217,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":130,"licenseFileUrl":218,"sourceHtmlUrl":219,"categories":220,"keywords":224,"publishedAt":46},"01M6FDP0PDK6F1GGX395C7625Z","skill-creator","Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fskill-creator\u002FSKILL.md",[221],{"categoryNo":222,"categoryName":223,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000023","Skill与智能体开发",[225,226,227,228,229,230,231,232,233,234,235,236,237,238,189,162,239,25,23],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing",{"skillNo":241,"name":242,"nameZh":6,"description":243,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":244,"sourceHtmlUrl":245,"categories":246,"keywords":248,"publishedAt":46},"01M6FDM8Y7VK7NYG9SM7QPA3PW","notebooklm","Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fproductivity\u002Fnotebooklm\u002FSKILL.md",[247],{"categoryNo":222,"categoryName":223,"taxonomyType":137,"taxonomyTypeDesc":138},[242,249,250,251,252,253,254,184,255,256,32,257,258,259,260,162,261],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":263,"name":264,"nameZh":6,"description":265,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":130,"licenseFileUrl":266,"sourceHtmlUrl":267,"categories":268,"keywords":275,"publishedAt":46},"01M6FDHPXE10J3XGTCH5HBHS1M","slack-gif-creator","Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like \"make me a GIF of X doing Y for Slack.\"","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Ftemplates-davila7\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fenterprise-communication\u002Fslack-gif-creator\u002FSKILL.md",[269,272],{"categoryNo":270,"categoryName":271,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":273,"categoryName":274,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000016","图像与多媒体",[276,277,278,226,279,155,280,281,231,32,282,238,283,284,285,162,286,25],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]