[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CH8JX5PTCPTVYQMVT8Q9SC":3,"skill-same:01M6CH8JX5PTCPTVYQMVT8Q9SC":109},{"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},"01M6CH8JX5PTCPTVYQMVT8Q9SC","monitoring-error-rates",null,"Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like \"monitor error rates\", \"track application errors\", or \"analyze error patterns\".","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\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\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],"error","monitoring","Monitoring Error Rates","read","when","track","error patterns","errors","trigger","io","patterns","reliability","use","tracking","http","grep","analyze","improve","Bash","applications","logs","metrics","database","issues","monitor","2026-11-10 10:12:30",false,"---\nname: monitoring-error-rates\ndescription: Monitor and analyze application error rates to improve reliability. Use when tracking errors in applications including HTTP errors, exceptions, and database issues. Trigger with phrases like \"monitor error rates\", \"track application errors\", or \"analyze error patterns\".\nversion: 1.0.0\nallowed-tools: \"Read, Bash(monitoring:*), Bash(metrics:*), Bash(logs:*), Grep, Glob\"\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\n---\n# Error Rate Monitor\n\nThis skill provides automated assistance for error rate monitor tasks.\n\n## Overview\n\nThis skill automates the process of setting up comprehensive error monitoring and alerting for various components of an application. It helps identify, track, and analyze different types of errors, enabling proactive identification and resolution of issues before they impact users.\n\n## How It Works\n\n1. **Analyze Error Sources**: Identifies potential error sources within the application architecture, including HTTP endpoints, database queries, external APIs, background jobs, and client-side code.\n2. **Define Monitoring Criteria**: Establishes specific error types and thresholds for each source, such as HTTP status codes (4xx, 5xx), exception types, query timeouts, and API response failures.\n3. **Configure Alerting**: Sets up alerts to trigger when error rates exceed defined thresholds, notifying relevant teams or individuals for investigation and remediation.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Set up error monitoring for a new application.\n- Analyze existing error rates and identify areas for improvement.\n- Configure alerts to be notified of critical errors in real-time.\n- Establish error budgets and track progress towards reliability goals.\n\n## Examples\n\n### Example 1: Setting up Error Monitoring for a Web Application\n\nUser request: \"Monitor errors in my web application, especially 500 errors and database connection issues.\"\n\nThe skill will:\n1. Analyze the web application's architecture to identify potential error sources (e.g., HTTP endpoints, database connections).\n2. Configure monitoring for 500 errors and database connection failures, setting appropriate thresholds and alerts.\n\n### Example 2: Analyzing Error Rates in a Background Job Processor\n\nUser request: \"Analyze error rates for my background job processor. I'm seeing a lot of failed jobs.\"\n\nThe skill will:\n1. Focus on the background job processor and identify the types of errors occurring (e.g., task failures, timeouts, resource exhaustion).\n2. Analyze the frequency and patterns of these errors to identify potential root causes.\n\n## Best Practices\n\n- **Granularity**: Monitor errors at a granular level to identify specific problem areas.\n- **Thresholding**: Set appropriate alert thresholds to avoid alert fatigue and focus on critical issues.\n- **Context**: Include relevant context in error messages and alerts to facilitate troubleshooting.\n\n## Integration\n\nThis skill can be integrated with other monitoring and alerting tools, such as Prometheus, Grafana, and PagerDuty, to provide a comprehensive view of application health and performance. It can also be used in conjunction with incident management tools to streamline incident response workflows.\n\n## Prerequisites\n\n- Access to application logs and metrics\n- Monitoring infrastructure (Prometheus, Grafana, or similar)\n- Read permissions for log files in {baseDir}\u002Flogs\u002F\n- Network access to monitoring endpoints\n\n## Instructions\n\n1. Identify error sources by analyzing application architecture\n2. Define error types and monitoring thresholds\n3. Configure alerting rules with appropriate severity levels\n4. Set up dashboards for error rate visualization\n5. Establish notification channels for critical errors\n6. Document error baselines and SLO targets\n\n## Output\n\n- Error rate metrics and trends\n- Alert configurations for critical thresholds\n- Dashboard definitions for error monitoring\n- Reports on error patterns and root causes\n- Recommendations for error reduction strategies\n\n## Error Handling\n\nIf monitoring setup fails:\n- Verify log file permissions and paths\n- Check monitoring service connectivity\n- Validate metric export configurations\n- Review alert rule syntax\n- Ensure notification channels are configured\n\n## Resources\n\n- Monitoring platform documentation (Prometheus, Grafana)\n- Application log format specifications\n- Error taxonomy and classification guides\n- SLO\u002FSLI definition best practices","# Error Rate Monitor\n\nThis skill provides automated assistance for error rate monitor tasks.\n\n## Overview\n\nThis skill automates the process of setting up comprehensive error monitoring and alerting for various components of an application. It helps identify, track, and analyze different types of errors, enabling proactive identification and resolution of issues before they impact users.\n\n## How It Works\n\n1. **Analyze Error Sources**: Identifies potential error sources within the application architecture, including HTTP endpoints, database queries, external APIs, background jobs, and client-side code.\n2. **Define Monitoring Criteria**: Establishes specific error types and thresholds for each source, such as HTTP status codes (4xx, 5xx), exception types, query timeouts, and API response failures.\n3. **Configure Alerting**: Sets up alerts to trigger when error rates exceed defined thresholds, notifying relevant teams or individuals for investigation and remediation.\n\n## When to Use This Skill\n\nThis skill activates when you need to:\n- Set up error monitoring for a new application.\n- Analyze existing error rates and identify areas for improvement.\n- Configure alerts to be notified of critical errors in real-time.\n- Establish error budgets and track progress towards reliability goals.\n\n## Examples\n\n### Example 1: Setting up Error Monitoring for a Web Application\n\nUser request: \"Monitor errors in my web application, especially 500 errors and database connection issues.\"\n\nThe skill will:\n1. Analyze the web application's architecture to identify potential error sources (e.g., HTTP endpoints, database connections).\n2. Configure monitoring for 500 errors and database connection failures, setting appropriate thresholds and alerts.\n\n### Example 2: Analyzing Error Rates in a Background Job Processor\n\nUser request: \"Analyze error rates for my background job processor. I'm seeing a lot of failed jobs.\"\n\nThe skill will:\n1. Focus on the background job processor and identify the types of errors occurring (e.g., task failures, timeouts, resource exhaustion).\n2. Analyze the frequency and patterns of these errors to identify potential root causes.\n\n## Best Practices\n\n- **Granularity**: Monitor errors at a granular level to identify specific problem areas.\n- **Thresholding**: Set appropriate alert thresholds to avoid alert fatigue and focus on critical issues.\n- **Context**: Include relevant context in error messages and alerts to facilitate troubleshooting.\n\n## Integration\n\nThis skill can be integrated with other monitoring and alerting tools, such as Prometheus, Grafana, and PagerDuty, to provide a comprehensive view of application health and performance. It can also be used in conjunction with incident management tools to streamline incident response workflows.\n\n## Prerequisites\n\n- Access to application logs and metrics\n- Monitoring infrastructure (Prometheus, Grafana, or similar)\n- Read permissions for log files in {baseDir}\u002Flogs\u002F\n- Network access to monitoring endpoints\n\n## Instructions\n\n1. Identify error sources by analyzing application architecture\n2. Define error types and monitoring thresholds\n3. Configure alerting rules with appropriate severity levels\n4. Set up dashboards for error rate visualization\n5. Establish notification channels for critical errors\n6. Document error baselines and SLO targets\n\n## Output\n\n- Error rate metrics and trends\n- Alert configurations for critical thresholds\n- Dashboard definitions for error monitoring\n- Reports on error patterns and root causes\n- Recommendations for error reduction strategies\n\n## Error Handling\n\nIf monitoring setup fails:\n- Verify log file permissions and paths\n- Check monitoring service connectivity\n- Validate metric export configurations\n- Review alert rule syntax\n- Ensure notification channels are configured\n\n## Resources\n\n- Monitoring platform documentation (Prometheus, Grafana)\n- Application log format specifications\n- Error taxonomy and classification guides\n- SLO\u002FSLI definition best practices",{"name":5,"author":49,"license":15,"version":50,"description":7,"allowed-tools":51},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Read, Bash(monitoring:*), Bash(metrics:*), Bash(logs:*), Grep, Glob","main","7439377908fdee98c9bb5863391212b95453de95","tests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates",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 monitoring-error-rates",{"tool":67,"command":68},"bunx","bunx skills add Dicklesworthstone\u002Fpi_agent_rust --skill monitoring-error-rates",{"tool":70,"command":71},"pnpm","pnpm dlx skills add Dicklesworthstone\u002Fpi_agent_rust --skill monitoring-error-rates","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\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002FSKILL.md",true,[75,81,87,91,97,101,105],{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"agents\u002Fopenai.yaml","REFERENCE","参考文档",43,"https:\u002F\u002Fgithub.com\u002Fjstoup111\u002Fai-conductor\u002Fblob\u002Fmain\u002Fskills\u002Fremediate\u002Fagents\u002Fopenai.yaml",{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"assets\u002FREADME.md","ASSET","资产文件",380,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fassets\u002FREADME.md",{"path":88,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":89,"sourceHtmlUrl":90},"references\u002FREADME.md",424,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Freferences\u002FREADME.md",{"path":92,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":96},"scripts\u002Fanalyze_errors.py","SCRIPT","脚本",4846,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fscripts\u002Fanalyze_errors.py",{"path":98,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":99,"sourceHtmlUrl":100},"scripts\u002Fgenerate_error_report.py",3716,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fscripts\u002Fgenerate_error_report.py",{"path":102,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":103,"sourceHtmlUrl":104},"scripts\u002FREADME.md",456,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fscripts\u002FREADME.md",{"path":106,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":107,"sourceHtmlUrl":108},"scripts\u002Fset_alert_threshold.py",2882,"https:\u002F\u002Fgithub.com\u002FDicklesworthstone\u002Fpi_agent_rust\u002Fblob\u002Fmain\u002Ftests\u002Fext_conformance\u002Fartifacts\u002Fplugins-community\u002Fplugins\u002Fperformance\u002Ferror-rate-monitor\u002Fskills\u002Fmonitoring-error-rates\u002Fscripts\u002Fset_alert_threshold.py",[110,150,173,198,225,247],{"skillNo":111,"name":112,"nameZh":6,"description":113,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":114,"licenseFileUrl":115,"sourceHtmlUrl":116,"categories":117,"keywords":123,"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",[118],{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",[124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,31,142,143,144,145,146,147,148,149],"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":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":114,"licenseFileUrl":154,"sourceHtmlUrl":155,"categories":156,"keywords":161,"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",[157,160],{"categoryNo":158,"categoryName":159,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},[162,163,164,129,165,166,125,167,168,169,139,39,38,170,171,172,147],"testing","webapp testing","webapp","screenshots","playwright","debugging","toolkit","browser","behavior","local","with",{"skillNo":174,"name":175,"nameZh":6,"description":176,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":177,"sourceHtmlUrl":178,"categories":179,"keywords":180,"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",[],[181,182,183,40,184,185,186,187,31,188,189,190,191,192,193,194,172,195,196,197,147,23],"analysis","neuropixels analysis","spike","data","open","quality","user","recordings","Neural","motion","visual","quality metrics","unit","sorting","curation","recording","load",{"skillNo":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":114,"licenseFileUrl":202,"sourceHtmlUrl":203,"categories":204,"keywords":208,"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",[205],{"categoryNo":206,"categoryName":207,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000023","Skill与智能体开发",[209,210,211,212,213,214,215,216,217,218,219,220,221,222,172,147,223,23,224],"skill creator","creator","workflows","create","update","capabilities","knowledge","tool","integrations","specialized","guide","new skill","existing skill","users","Existing","new",{"skillNo":226,"name":227,"nameZh":6,"description":228,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":229,"sourceHtmlUrl":230,"categories":231,"keywords":233,"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",[232],{"categoryNo":206,"categoryName":207,"taxonomyType":121,"taxonomyTypeDesc":122},[227,234,235,236,237,238,239,169,240,241,31,242,243,244,245,147,246],"google","browser automation","gemini","automation","auth","code","library","management","only","document","query","Citation","source",{"skillNo":248,"name":249,"nameZh":6,"description":250,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":114,"licenseFileUrl":251,"sourceHtmlUrl":252,"categories":253,"keywords":260,"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",[254,257],{"categoryNo":255,"categoryName":256,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":258,"categoryName":259,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000016","图像与多媒体",[261,262,263,210,264,140,265,266,215,31,267,222,268,269,270,147,271,23],"slack gif creator","slack","gif","validation","constraints","Animation","me","make","Utilities","concepts","request"]