[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CH9RH03R3FG4AWEXK5G3DR":3,"skill-same:01M6CH9RH03R3FG4AWEXK5G3DR":115},{"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":28,"publishedAt":54,"linkOnly":55,"markdownContent":56,"markdownBody":57,"frontMatter":58,"refName":62,"commitSha":63,"skillDirectory":64,"forksCount":65,"repositoryHtmlUrl":66,"repositoryHomepageUrl":6,"ownerHtmlUrl":67,"ownerBlogUrl":68,"ownerDescription":69,"updatedAt":70,"install":71,"resources":84},"01M6CH9RH03R3FG4AWEXK5G3DR","tracking-application-response-times",null,"Track and optimize application response times across API endpoints, database queries, and service calls. Use when monitoring performance or identifying bottlenecks. Trigger with phrases like \"track response times\", \"monitor API performance\", or \"analyze latency\".","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\u002Fperformance\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53],"application","Tracking Application Response Times","tracking","when","performance","track","io","database queries","latency","across","optimize","endpoints","queries","use","edit","write","read","grep","analyze","Bash","api","monitoring","metrics","database","monitor","2026-11-10 10:12:30",false,"---\nname: tracking-application-response-times\ndescription: Track and optimize application response times across API endpoints, database queries, and service calls. Use when monitoring performance or identifying bottlenecks. Trigger with phrases like \"track response times\", \"monitor API performance\", or \"analyze latency\".\nversion: 1.0.0\nallowed-tools: \"Read, Write, Edit, Grep, Glob, Bash(monitoring:*), Bash(metrics:*)\"\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n# Response Time Tracker\n\nThis skill provides automated assistance for response time tracker tasks.\n\n## Overview\n\nThis skill empowers Claude to proactively monitor and improve application performance by tracking response times across various layers. It provides detailed metrics and insights to identify and resolve performance bottlenecks.\n\n## How It Works\n\n1. **Initiate Tracking**: The user requests response time tracking.\n2. **Configure Monitoring**: The plugin automatically begins monitoring API endpoints, database queries, external service calls, frontend rendering, and background jobs.\n3. **Report Metrics**: The plugin generates reports including P50, P95, P99 percentiles, average, and maximum response times.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Identify performance bottlenecks in your application.\n- Monitor service level objectives (SLOs) related to response times.\n- Receive alerts about performance degradation.\n\n## Examples\n\n### Example 1: Diagnosing Slow API Endpoint\n\nUser request: \"Track response times for the user authentication API endpoint.\"\n\nThe skill will:\n1. Activate the response-time-tracker plugin.\n2. Monitor the specified API endpoint and report response time metrics, highlighting potential bottlenecks.\n\n### Example 2: Monitoring Database Query Performance\n\nUser request: \"Monitor database query performance for the product catalog.\"\n\nThe skill will:\n1. Activate the response-time-tracker plugin.\n2. Track the execution time of database queries related to the product catalog and provide performance insights.\n\n## Best Practices\n\n- **Granularity**: Track response times at a granular level (e.g., individual API endpoints, specific database queries) for more precise insights.\n- **Alerting**: Configure alerts for significant deviations from baseline performance to proactively address potential issues.\n- **Contextualization**: Correlate response time data with other metrics (e.g., CPU usage, memory consumption) to identify root causes.\n\n## Integration\n\nThis skill can be integrated with other monitoring and alerting tools to provide a comprehensive view of application performance. It can also be used in conjunction with optimization tools to automatically address identified bottlenecks.\n\n## Prerequisites\n\n- Access to application monitoring infrastructure\n- Response time data collection in {baseDir}\u002Fmetrics\u002Fresponse-times\u002F\n- APM tools or custom instrumentation\n- Performance SLO definitions\n\n## Instructions\n\n1. Configure monitoring for API endpoints and database queries\n2. Collect response time metrics (P50, P95, P99 percentiles)\n3. Analyze trends and identify performance degradation\n4. Compare against performance baselines and SLOs\n5. Identify bottlenecks and root causes\n6. Generate optimization recommendations\n\n## Output\n\n- Response time reports with percentile metrics\n- Performance trend visualizations\n- Bottleneck identification analysis\n- SLO compliance status\n- Optimization recommendations with priorities\n\n## Error Handling\n\nIf response time tracking fails:\n- Verify monitoring agent installation\n- Check instrumentation configuration\n- Validate metric export endpoints\n- Ensure data storage availability\n- Review sampling configuration\n\n## Resources\n\n- APM tool documentation\n- Response time monitoring best practices\n- Percentile-based SLO definitions\n- Performance optimization guides","# Response Time Tracker\n\nThis skill provides automated assistance for response time tracker tasks.\n\n## Overview\n\nThis skill empowers Claude to proactively monitor and improve application performance by tracking response times across various layers. It provides detailed metrics and insights to identify and resolve performance bottlenecks.\n\n## How It Works\n\n1. **Initiate Tracking**: The user requests response time tracking.\n2. **Configure Monitoring**: The plugin automatically begins monitoring API endpoints, database queries, external service calls, frontend rendering, and background jobs.\n3. **Report Metrics**: The plugin generates reports including P50, P95, P99 percentiles, average, and maximum response times.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Identify performance bottlenecks in your application.\n- Monitor service level objectives (SLOs) related to response times.\n- Receive alerts about performance degradation.\n\n## Examples\n\n### Example 1: Diagnosing Slow API Endpoint\n\nUser request: \"Track response times for the user authentication API endpoint.\"\n\nThe skill will:\n1. Activate the response-time-tracker plugin.\n2. Monitor the specified API endpoint and report response time metrics, highlighting potential bottlenecks.\n\n### Example 2: Monitoring Database Query Performance\n\nUser request: \"Monitor database query performance for the product catalog.\"\n\nThe skill will:\n1. Activate the response-time-tracker plugin.\n2. Track the execution time of database queries related to the product catalog and provide performance insights.\n\n## Best Practices\n\n- **Granularity**: Track response times at a granular level (e.g., individual API endpoints, specific database queries) for more precise insights.\n- **Alerting**: Configure alerts for significant deviations from baseline performance to proactively address potential issues.\n- **Contextualization**: Correlate response time data with other metrics (e.g., CPU usage, memory consumption) to identify root causes.\n\n## Integration\n\nThis skill can be integrated with other monitoring and alerting tools to provide a comprehensive view of application performance. It can also be used in conjunction with optimization tools to automatically address identified bottlenecks.\n\n## Prerequisites\n\n- Access to application monitoring infrastructure\n- Response time data collection in {baseDir}\u002Fmetrics\u002Fresponse-times\u002F\n- APM tools or custom instrumentation\n- Performance SLO definitions\n\n## Instructions\n\n1. Configure monitoring for API endpoints and database queries\n2. Collect response time metrics (P50, P95, P99 percentiles)\n3. Analyze trends and identify performance degradation\n4. Compare against performance baselines and SLOs\n5. Identify bottlenecks and root causes\n6. Generate optimization recommendations\n\n## Output\n\n- Response time reports with percentile metrics\n- Performance trend visualizations\n- Bottleneck identification analysis\n- SLO compliance status\n- Optimization recommendations with priorities\n\n## Error Handling\n\nIf response time tracking fails:\n- Verify monitoring agent installation\n- Check instrumentation configuration\n- Validate metric export endpoints\n- Ensure data storage availability\n- Review sampling configuration\n\n## Resources\n\n- APM tool documentation\n- Response time monitoring best practices\n- Percentile-based SLO definitions\n- Performance optimization guides",{"name":5,"author":59,"license":15,"version":60,"description":7,"allowed-tools":61},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Read, Write, Edit, Grep, Glob, Bash(monitoring:*), Bash(metrics:*)","main","7439377908fdee98c9bb5863391212b95453de95","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times",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":72,"prompt":82,"zipAvailable":83},[73,76,79],{"tool":74,"command":75},"npx","npx skills add Dicklesworthstone\u002Fpi_agent_rust --skill tracking-application-response-times",{"tool":77,"command":78},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill tracking-application-response-times",{"tool":80,"command":81},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill tracking-application-response-times","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\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times\u002FSKILL.md",true,[85,91,97,103,107,111],{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"assets\u002FREADME.md","ASSET","资产文件",354,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times\u002Fassets\u002FREADME.md",{"path":92,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":96},"references\u002FREADME.md","REFERENCE","参考文档",425,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times\u002Freferences\u002FREADME.md",{"path":98,"resourceType":99,"resourceTypeDesc":100,"sizeBytes":101,"sourceHtmlUrl":102},"scripts\u002Fanalyze_response_times.py","SCRIPT","脚本",4814,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times\u002Fscripts\u002Fanalyze_response_times.py",{"path":104,"resourceType":99,"resourceTypeDesc":100,"sizeBytes":105,"sourceHtmlUrl":106},"scripts\u002Fconfigure_alerts.py",2873,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times\u002Fscripts\u002Fconfigure_alerts.py",{"path":108,"resourceType":99,"resourceTypeDesc":100,"sizeBytes":109,"sourceHtmlUrl":110},"scripts\u002Foptimize_queries.py",2893,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times\u002Fscripts\u002Foptimize_queries.py",{"path":112,"resourceType":99,"resourceTypeDesc":100,"sizeBytes":113,"sourceHtmlUrl":114},"scripts\u002FREADME.md",413,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Fresponse-time-tracker\u002Fskills\u002Ftracking-application-response-times\u002Fscripts\u002FREADME.md",[116,154,179,204,231,253],{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":120,"licenseFileUrl":121,"sourceHtmlUrl":122,"categories":123,"keywords":127,"publishedAt":54},"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",[124],{"categoryNo":125,"categoryName":126,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000009","前端开发",[128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,42,146,147,148,149,150,151,152,153],"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":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":120,"licenseFileUrl":158,"sourceHtmlUrl":159,"categories":160,"keywords":165,"publishedAt":54},"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",[161,164],{"categoryNo":162,"categoryName":163,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":125,"categoryName":126,"taxonomyType":21,"taxonomyTypeDesc":22},[166,167,168,133,169,170,129,171,172,173,143,174,175,176,177,178,151],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","logs","applications","behavior","local","with",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":183,"sourceHtmlUrl":184,"categories":185,"keywords":186,"publishedAt":54},"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",[],[187,188,189,51,190,191,192,193,42,194,195,196,197,198,199,200,178,201,202,203,151,32],"analysis","neuropixels analysis","spike","data","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":205,"name":206,"nameZh":6,"description":207,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":120,"licenseFileUrl":208,"sourceHtmlUrl":209,"categories":210,"keywords":214,"publishedAt":54},"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",[211],{"categoryNo":212,"categoryName":213,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[215,216,217,218,219,220,221,222,223,224,225,226,227,228,178,151,229,32,230],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":232,"name":233,"nameZh":6,"description":234,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":235,"sourceHtmlUrl":236,"categories":237,"keywords":239,"publishedAt":54},"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",[238],{"categoryNo":212,"categoryName":213,"taxonomyType":21,"taxonomyTypeDesc":22},[233,240,241,242,243,244,245,173,246,247,42,248,249,250,251,151,252],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":254,"name":255,"nameZh":6,"description":256,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":120,"licenseFileUrl":257,"sourceHtmlUrl":258,"categories":259,"keywords":266,"publishedAt":54},"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",[260,263],{"categoryNo":261,"categoryName":262,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":264,"categoryName":265,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",[267,268,269,216,270,144,271,272,221,42,273,228,274,275,276,151,277,32],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]