[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CH8P2EHV8FSZ6SF82SQC8B":3,"skill-same:01M6CH8P2EHV8FSZ6SF82SQC8B":93},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":58,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M6CH8P2EHV8FSZ6SF82SQC8B","collecting-infrastructure-metrics",null,"Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like \"collect infrastructure metrics\", \"monitor server performance\", or \"track system resources\".","Dicklesworthstone\u002Fpi_agent_rust","Dicklesworthstone","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F35050222?v=4","01M6CG26AR942CSVMN1M5E3DSE","Jeff Emanuel","01M6CG26EPP71PSHW1VDS71121",1991,"MIT","https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Finfrastructure-metrics-collector\u002Fskills\u002Fcollecting-infrastructure-metrics\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],"infrastructure","metrics","Collecting Infrastructure Metrics","system","when","track","resources","io","across","databases","use","edit","write","read","grep","containers","Bash","network","server","monitoring","collect","issues","monitor","storage","performance","2026-11-10 10:12:30",false,"---\nname: collecting-infrastructure-metrics\ndescription: Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like \"collect infrastructure metrics\", \"monitor server performance\", or \"track system resources\".\nversion: 1.0.0\nallowed-tools: \"Read, Write, Edit, Grep, Glob, Bash(metrics:*), Bash(monitoring:*), Bash(system:*)\"\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n# Infrastructure Metrics Collector\n\nThis skill provides automated assistance for infrastructure metrics collector tasks.\n\n## Overview\n\nThis skill automates the process of setting up infrastructure metrics collection. It identifies key performance indicators (KPIs) across various infrastructure layers, configures agents to collect these metrics, and assists in setting up central aggregation and visualization.\n\n## How It Works\n\n1. **Identify Infrastructure Layers**: Determines the infrastructure layers to monitor (compute, storage, network, containers, load balancers, databases).\n2. **Configure Metrics Collection**: Sets up agents (Prometheus, Datadog, CloudWatch) to collect metrics from the identified layers.\n3. **Aggregate Metrics**: Configures central aggregation of the collected metrics for analysis and visualization.\n4. **Create Dashboards**: Generates infrastructure dashboards for health monitoring, performance analysis, and capacity tracking.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Monitor the performance of your infrastructure.\n- Identify bottlenecks in your system.\n- Set up dashboards for real-time monitoring.\n\n## Examples\n\n### Example 1: Setting up basic monitoring\n\nUser request: \"Collect infrastructure metrics for my web server.\"\n\nThe skill will:\n1. Identify compute, storage, and network layers relevant to the web server.\n2. Configure Prometheus to collect CPU, memory, disk I\u002FO, and network bandwidth metrics.\n\n### Example 2: Troubleshooting database performance\n\nUser request: \"I'm seeing slow database queries. Can you help me monitor the database performance?\"\n\nThe skill will:\n1. Identify the database layer and relevant metrics such as connection pool usage, replication lag, and cache hit rates.\n2. Configure Datadog to collect these metrics and create a dashboard to visualize performance trends.\n\n## Best Practices\n\n- **Agent Selection**: Choose the appropriate agent (Prometheus, Datadog, CloudWatch) based on your existing infrastructure and monitoring tools.\n- **Metric Granularity**: Balance the granularity of metrics collection with the storage and processing overhead. Collect only the essential metrics for your use case.\n- **Alerting**: Configure alerts based on thresholds for key metrics to proactively identify and address performance issues.\n\n## Integration\n\nThis skill can be integrated with other plugins for deployment, configuration management, and alerting to provide a comprehensive infrastructure management solution. For example, it can be used with a deployment plugin to automatically configure metrics collection after deploying new infrastructure.\n\n## Prerequisites\n\n- Access to infrastructure monitoring systems (Prometheus, Datadog, CloudWatch)\n- System permissions for metrics agent installation\n- Network access to monitored infrastructure components\n- Storage for metrics data in {baseDir}\u002Fmetrics\u002F\n\n## Instructions\n\n1. Identify infrastructure layers to monitor (compute, storage, network, databases)\n2. Select appropriate metrics collection agent based on environment\n3. Configure agent with target endpoints and metric types\n4. Set up central aggregation for collected metrics\n5. Create dashboards for visualization\n6. Configure alerts for critical metrics thresholds\n\n## Output\n\n- Metrics collection configuration files\n- Agent installation and setup scripts\n- Dashboard definitions for infrastructure monitoring\n- Metric export configurations\n- Alert rules for critical thresholds\n\n## Error Handling\n\nIf metrics collection fails:\n- Verify agent installation and permissions\n- Check network connectivity to targets\n- Validate authentication credentials\n- Review firewall and security group rules\n- Confirm metric endpoint availability\n\n## Resources\n\n- Prometheus documentation for metric collection\n- Datadog agent configuration guides\n- AWS CloudWatch metrics reference\n- Infrastructure monitoring best practices","# Infrastructure Metrics Collector\n\nThis skill provides automated assistance for infrastructure metrics collector tasks.\n\n## Overview\n\nThis skill automates the process of setting up infrastructure metrics collection. It identifies key performance indicators (KPIs) across various infrastructure layers, configures agents to collect these metrics, and assists in setting up central aggregation and visualization.\n\n## How It Works\n\n1. **Identify Infrastructure Layers**: Determines the infrastructure layers to monitor (compute, storage, network, containers, load balancers, databases).\n2. **Configure Metrics Collection**: Sets up agents (Prometheus, Datadog, CloudWatch) to collect metrics from the identified layers.\n3. **Aggregate Metrics**: Configures central aggregation of the collected metrics for analysis and visualization.\n4. **Create Dashboards**: Generates infrastructure dashboards for health monitoring, performance analysis, and capacity tracking.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Monitor the performance of your infrastructure.\n- Identify bottlenecks in your system.\n- Set up dashboards for real-time monitoring.\n\n## Examples\n\n### Example 1: Setting up basic monitoring\n\nUser request: \"Collect infrastructure metrics for my web server.\"\n\nThe skill will:\n1. Identify compute, storage, and network layers relevant to the web server.\n2. Configure Prometheus to collect CPU, memory, disk I\u002FO, and network bandwidth metrics.\n\n### Example 2: Troubleshooting database performance\n\nUser request: \"I'm seeing slow database queries. Can you help me monitor the database performance?\"\n\nThe skill will:\n1. Identify the database layer and relevant metrics such as connection pool usage, replication lag, and cache hit rates.\n2. Configure Datadog to collect these metrics and create a dashboard to visualize performance trends.\n\n## Best Practices\n\n- **Agent Selection**: Choose the appropriate agent (Prometheus, Datadog, CloudWatch) based on your existing infrastructure and monitoring tools.\n- **Metric Granularity**: Balance the granularity of metrics collection with the storage and processing overhead. Collect only the essential metrics for your use case.\n- **Alerting**: Configure alerts based on thresholds for key metrics to proactively identify and address performance issues.\n\n## Integration\n\nThis skill can be integrated with other plugins for deployment, configuration management, and alerting to provide a comprehensive infrastructure management solution. For example, it can be used with a deployment plugin to automatically configure metrics collection after deploying new infrastructure.\n\n## Prerequisites\n\n- Access to infrastructure monitoring systems (Prometheus, Datadog, CloudWatch)\n- System permissions for metrics agent installation\n- Network access to monitored infrastructure components\n- Storage for metrics data in {baseDir}\u002Fmetrics\u002F\n\n## Instructions\n\n1. Identify infrastructure layers to monitor (compute, storage, network, databases)\n2. Select appropriate metrics collection agent based on environment\n3. Configure agent with target endpoints and metric types\n4. Set up central aggregation for collected metrics\n5. Create dashboards for visualization\n6. Configure alerts for critical metrics thresholds\n\n## Output\n\n- Metrics collection configuration files\n- Agent installation and setup scripts\n- Dashboard definitions for infrastructure monitoring\n- Metric export configurations\n- Alert rules for critical thresholds\n\n## Error Handling\n\nIf metrics collection fails:\n- Verify agent installation and permissions\n- Check network connectivity to targets\n- Validate authentication credentials\n- Review firewall and security group rules\n- Confirm metric endpoint availability\n\n## Resources\n\n- Prometheus documentation for metric collection\n- Datadog agent configuration guides\n- AWS CloudWatch metrics reference\n- Infrastructure monitoring best practices",{"name":5,"author":49,"license":15,"version":50,"description":7,"allowed-tools":51},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Read, Write, Edit, Grep, Glob, Bash(metrics:*), Bash(monitoring:*), Bash(system:*)","main","7439377908fdee98c9bb5863391212b95453de95","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Finfrastructure-metrics-collector\u002Fskills\u002Fcollecting-infrastructure-metrics",234,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust","https:\u002F\u002Fgithub.com\u002FDicklesworthstone","https:\u002F\u002Fwww.jeffreyemanuel.com\u002F","Building in NY","2026-11-13 11:50:27",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill collecting-infrastructure-metrics",{"tool":67,"command":68},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill collecting-infrastructure-metrics",{"tool":70,"command":71},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill collecting-infrastructure-metrics","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\u002Fperformance\u002Finfrastructure-metrics-collector\u002Fskills\u002Fcollecting-infrastructure-metrics\u002FSKILL.md",true,[75,81,87],{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"assets\u002FREADME.md","ASSET","资产文件",238,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Finfrastructure-metrics-collector\u002Fskills\u002Fcollecting-infrastructure-metrics\u002Fassets\u002FREADME.md",{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"references\u002FREADME.md","REFERENCE","参考文档",371,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Finfrastructure-metrics-collector\u002Fskills\u002Fcollecting-infrastructure-metrics\u002Freferences\u002FREADME.md",{"path":88,"resourceType":89,"resourceTypeDesc":90,"sizeBytes":91,"sourceHtmlUrl":92},"scripts\u002FREADME.md","SCRIPT","脚本",440,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Finfrastructure-metrics-collector\u002Fskills\u002Fcollecting-infrastructure-metrics\u002Fscripts\u002FREADME.md",[94,134,159,184,211,233],{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":99,"sourceHtmlUrl":100,"categories":101,"keywords":107,"publishedAt":44},"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",[102],{"categoryNo":103,"categoryName":104,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,29,126,127,128,129,130,131,132,133],"web artifacts builder","web","artifacts","artifacts builder","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":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":138,"sourceHtmlUrl":139,"categories":140,"keywords":145,"publishedAt":44},"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",[141,144],{"categoryNo":142,"categoryName":143,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":103,"categoryName":104,"taxonomyType":105,"taxonomyTypeDesc":106},[146,147,148,113,149,150,109,151,152,153,123,154,155,156,157,158,131],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local","with",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":163,"sourceHtmlUrl":164,"categories":165,"keywords":166,"publishedAt":44},"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",[],[167,168,169,20,170,171,172,173,29,174,175,176,177,178,179,180,158,181,182,183,131,23],"analysis","neuropixels analysis","spike","data","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":185,"name":186,"nameZh":6,"description":187,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":188,"sourceHtmlUrl":189,"categories":190,"keywords":194,"publishedAt":44},"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",[191],{"categoryNo":192,"categoryName":193,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000023","Skill与智能体开发",[195,196,197,198,199,200,201,202,203,204,205,206,207,208,158,131,209,23,210],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":215,"sourceHtmlUrl":216,"categories":217,"keywords":219,"publishedAt":44},"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",[218],{"categoryNo":192,"categoryName":193,"taxonomyType":105,"taxonomyTypeDesc":106},[213,220,221,222,223,224,225,153,226,227,29,228,229,230,231,131,232],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":234,"name":235,"nameZh":6,"description":236,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":98,"licenseFileUrl":237,"sourceHtmlUrl":238,"categories":239,"keywords":246,"publishedAt":44},"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",[240,243],{"categoryNo":241,"categoryName":242,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":244,"categoryName":245,"taxonomyType":105,"taxonomyTypeDesc":106},"01JBSEEDCAT000000000000016","图像与多媒体",[247,248,249,196,250,124,251,252,201,29,253,208,254,255,256,131,257,23],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]