[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M7C3P845VC8DTPYGD89CFXQ1":3,"skill-same:01M7C3P845VC8DTPYGD89CFXQ1":55},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":34,"commitSha":35,"skillDirectory":36,"forksCount":37,"repositoryHtmlUrl":38,"repositoryHomepageUrl":6,"ownerHtmlUrl":39,"ownerBlogUrl":6,"ownerDescription":40,"updatedAt":41,"install":42,"resources":54},"01M7C3P845VC8DTPYGD89CFXQ1","firecrawl-dashboard-reporting",null,"Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.","om-scogo\u002Fskillsh-scraper","om-scogo","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F160466840?v=4","01M79AWB6DFVCQ7RK70CS34B96","Om Achrekar","01M79AWB6ZM9SKR8KDH1WSSM22",0,"ISC","https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper\u002Fblob\u002Fmain\u002Fdata\u002Fskills\u002Ffirecrawl-firecrawl-workflows\u002Ffirecrawl-dashboard-reporting\u002Fskills\u002Ffirecrawl-dashboard-reporting\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: firecrawl-dashboard-reporting\ndescription: Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.\nlicense: ISC\nmetadata:\n  author: firecrawl\n  version: \"0.1.0\"\n  homepage: https:\u002F\u002Fwww.firecrawl.dev\n  source: https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Ffirecrawl-workflows\ninputs:\n  - name: FIRECRAWL_API_KEY\n    description: Firecrawl API key for hosted Firecrawl requests.\n    required: true\n---\n\n# Firecrawl Dashboard Reporting\n\nUse this to extract visible metrics from dashboards the user can legitimately access.\n\n## Onboarding Interview\n\nInfer dashboard URLs, metrics, date range, and output format from context. If dashboard targets are clear and accessible, proceed immediately.\n\nAsk at most 1-3 concise questions only if blocked, such as the dashboard URLs, auth\u002Fprofile requirement, or date range.\n\n## Firecrawl Collection Plan\n\nUse Firecrawl browser for authenticated dashboards and UI interaction:\n\n- open each dashboard\n- set or verify date range\n- extract visible KPI cards, tables, and labels\n- click tabs, expand sections, and scroll tables\n- use export\u002Fdownload buttons only when appropriate and allowed\n\nIf login has expired, ask the user to re-authenticate rather than attempting to bypass access controls.\n\n## Parallel Work\n\nIf appropriate, use sub-agents or equivalent parallel task runners. Split by dashboard platform or metric category. Each researcher should return metrics, units, period, source URL, and caveats.\n\n## Final Deliverable\n\n```markdown\n# Dashboard Report\n\n## Summary\n[Highlights, alerts, trends]\n\n## Metrics By Dashboard\n[Platform, metric, value, unit, change, period]\n\n## Tables Or Exports\n[Captured tables\u002Ffiles and what they contain]\n\n## Notes And Caveats\n[Auth issues, chart-only data, unavailable metrics]\n\n## Rerun Inputs\nworkflow: firecrawl-dashboard-reporting\ndashboards: [urls]\ndate_range: [range]\nmetrics: [list]\noutput: [json\u002Fmarkdown]\n```\n\n## JSON Shape\n\nUse `reportedAt`, `dateRange`, `dashboards[]`, `metrics[]`, `tables[]`, `exports[]`, and `summary`.\n\n## Quality Bar\n\n- Extract actual numbers, not just chart labels.\n- Note when a chart cannot be read precisely.\n- Preserve date ranges and source URLs.\n","# Firecrawl Dashboard Reporting\n\nUse this to extract visible metrics from dashboards the user can legitimately access.\n\n## Onboarding Interview\n\nInfer dashboard URLs, metrics, date range, and output format from context. If dashboard targets are clear and accessible, proceed immediately.\n\nAsk at most 1-3 concise questions only if blocked, such as the dashboard URLs, auth\u002Fprofile requirement, or date range.\n\n## Firecrawl Collection Plan\n\nUse Firecrawl browser for authenticated dashboards and UI interaction:\n\n- open each dashboard\n- set or verify date range\n- extract visible KPI cards, tables, and labels\n- click tabs, expand sections, and scroll tables\n- use export\u002Fdownload buttons only when appropriate and allowed\n\nIf login has expired, ask the user to re-authenticate rather than attempting to bypass access controls.\n\n## Parallel Work\n\nIf appropriate, use sub-agents or equivalent parallel task runners. Split by dashboard platform or metric category. Each researcher should return metrics, units, period, source URL, and caveats.\n\n## Final Deliverable\n\n```markdown\n# Dashboard Report\n\n## Summary\n[Highlights, alerts, trends]\n\n## Metrics By Dashboard\n[Platform, metric, value, unit, change, period]\n\n## Tables Or Exports\n[Captured tables\u002Ffiles and what they contain]\n\n## Notes And Caveats\n[Auth issues, chart-only data, unavailable metrics]\n\n## Rerun Inputs\nworkflow: firecrawl-dashboard-reporting\ndashboards: [urls]\ndate_range: [range]\nmetrics: [list]\noutput: [json\u002Fmarkdown]\n```\n\n## JSON Shape\n\nUse `reportedAt`, `dateRange`, `dashboards[]`, `metrics[]`, `tables[]`, `exports[]`, and `summary`.\n\n## Quality Bar\n\n- Extract actual numbers, not just chart labels.\n- Note when a chart cannot be read precisely.\n- Preserve date ranges and source URLs.\n",{"name":5,"inputs":24,"license":15,"metadata":29,"description":7},[25],{"name":26,"required":27,"description":28},"FIRECRAWL_API_KEY",true,"Firecrawl API key for hosted Firecrawl requests.",{"author":30,"source":31,"version":32,"homepage":33},"firecrawl","https:\u002F\u002Fgithub.com\u002Ffirecrawl\u002Ffirecrawl-workflows","0.1.0","https:\u002F\u002Fwww.firecrawl.dev","main","8859218955d9504cd18b59e7892100718039d3b4","data\u002Fskills\u002Ffirecrawl-firecrawl-workflows\u002Ffirecrawl-dashboard-reporting\u002Fskills\u002Ffirecrawl-dashboard-reporting",1,"https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper","https:\u002F\u002Fgithub.com\u002Fom-scogo","SDE-1 @ Scogo ","2026-07-18 12:22:46",{"source":8,"skillName":5,"commands":43,"prompt":53,"zipAvailable":27},[44,47,50],{"tool":45,"command":46},"npx","npx skills add om-scogo\u002Fskillsh-scraper --skill firecrawl-dashboard-reporting",{"tool":48,"command":49},"bunx","bunx skills add om-scogo\u002Fskillsh-scraper --skill firecrawl-dashboard-reporting",{"tool":51,"command":52},"pnpm","pnpm dlx skills add om-scogo\u002Fskillsh-scraper --skill firecrawl-dashboard-reporting","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper\u002Fblob\u002Fmain\u002Fdata\u002Fskills\u002Ffirecrawl-firecrawl-workflows\u002Ffirecrawl-dashboard-reporting\u002Fskills\u002Ffirecrawl-dashboard-reporting\u002FSKILL.md",[],[56,64,69,76,81,88],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":60,"licenseFileUrl":6,"sourceHtmlUrl":61,"categories":62,"keywords":63,"publishedAt":19},"01M7D6MC9FAAEV4CMNYX8W7JTG","arxiv-search","Search arXiv physics, math, and computer science preprints using natural language queries. Powered by Valyu semantic search.","MIT","https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper\u002Fblob\u002Fmain\u002Fdata\u002Fskills\u002Fyorkeccak-scientific-skills\u002Farxiv-search\u002Fskills\u002Farxiv-search\u002FSKILL.md",[],[],{"skillNo":65,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":60,"licenseFileUrl":6,"sourceHtmlUrl":66,"categories":67,"keywords":68,"publishedAt":19},"01M7D6M85CKKN87TA98VCQV4H7","https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper\u002Fblob\u002Fmain\u002Fdata\u002Fskills\u002Fyorkeccak-scientific-skills\u002Farxiv-search\u002FSkill.md",[],[],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":60,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":75,"publishedAt":19},"01M7D4ZTCS4DR3CE4JY06X84T2","working-with-legacy-code","Safely change and test untested codebases using Feathers' \"Working Effectively with Legacy Code\". Use when the user mentions \"legacy code\", \"no tests\", \"untested codebase\", \"how do I test this\", \"seams\", \"characterization tests\", \"golden master\", \"sprout method\", \"afraid to change this code\", \"monster method\", \"dependency breaking\", or \"inherited a messy codebase\". Also trigger when changing code without tests safely, getting a class under test when constructors, statics, or singletons block it, adding features to tangled modules, or planning incremental test coverage for an old codebase. Covers the legacy-code change algorithm, seams, characterization tests, sprout\u002Fwrap, and dependency-breaking techniques. For refactoring code that already has tests, see refactoring-patterns. For day-to-day code quality, see clean-code.","https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper\u002Fblob\u002Fmain\u002Fdata\u002Fskills\u002Fwondelai-skills\u002Fworking-with-legacy-code\u002Fworking-with-legacy-code\u002FSKILL.md",[],[],{"skillNo":77,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":60,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":80,"publishedAt":19},"01M7D4ZHZKJD2RSNGAF63V14P4","https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper\u002Fblob\u002Fmain\u002Fdata\u002Fskills\u002Fwondelai-skills\u002Fworking-with-legacy-code\u002FSkill.md",[],[],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":60,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":87,"publishedAt":19},"01M7D4ZB4CJBFW5JE67CPH2QRV","web-typography","Select, pair, and implement typefaces for web projects. Use when the user mentions \"font pairing\", \"which typeface\", \"line height\", \"responsive typography\", \"web font loading\", \"type hierarchy\", \"variable fonts\", \"FOUT\u002FFOIT\", \"typographic scale\", or \"the text is hard to read\". Also trigger when choosing between system fonts and web fonts, optimizing font-loading performance, or designing readable long-form content. Covers readability evaluation, CSS implementation, and performance optimization. For overall UI design systems, see refactoring-ui. For dramatic typographic experiences, see top-design.","https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper\u002Fblob\u002Fmain\u002Fdata\u002Fskills\u002Fwondelai-skills\u002Fweb-typography\u002Fweb-typography\u002FSKILL.md",[],[],{"skillNo":89,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":60,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":19},"01M7D4Z4MVYVY3NMJ18BNV6WNA","https:\u002F\u002Fgithub.com\u002Fom-scogo\u002Fskillsh-scraper\u002Fblob\u002Fmain\u002Fdata\u002Fskills\u002Fwondelai-skills\u002Fweb-typography\u002FSkill.md",[],[]]