[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KDRXJ2PF7367N1GWDTT904":3,"skill-same:01M6KDRXJ2PF7367N1GWDTT904":58},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":31,"linkOnly":32,"markdownContent":33,"markdownBody":34,"frontMatter":35,"refName":36,"commitSha":37,"skillDirectory":38,"forksCount":39,"repositoryHtmlUrl":40,"repositoryHomepageUrl":41,"ownerHtmlUrl":42,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":43,"install":44,"resources":57},"01M6KDRXJ2PF7367N1GWDTT904","excel-statistics-formulas",null,"Excel statistical functions (MIN, MAX, MEDIAN, AVERAGE, PERCENTILE, SUMPRODUCT) with ROUND.","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",93,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-opus-4-6\u002Fweighted-gdp-calculation\u002Fexcel-statistics-formulas\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000004","电子表格","SCENARIO","使用场景",[23,24,25,26,27,28,29,30],"xlsx","statistics","formulas","excel statistics formulas","functions","max","median","with","2026-11-10 10:12:30",false,"---\nname: excel-statistics-formulas\ndescription: Excel statistical functions (MIN, MAX, MEDIAN, AVERAGE, PERCENTILE, SUMPRODUCT) with ROUND.\n---\n\n# Excel Statistical Formulas\n\n## Common Statistical Functions\n```\n=MIN(range)\n=MAX(range)\n=MEDIAN(range)\n=AVERAGE(range)\n=PERCENTILE(range, k)    -- k is 0 to 1 (e.g., 0.25 for 25th percentile)\n```\n\n## ROUND Function\n```\n=ROUND(value, num_digits)   -- e.g., ROUND(12.345, 1) = 12.3\n```\n\n## SUMPRODUCT for Weighted Mean\nGDP-weighted mean of net exports as % of GDP:\n```\n=ROUND(SUMPRODUCT(Exports - Imports) \u002F SUM(GDP) * 100, 1)\n```\n\nThis works because:\n- weighted_mean = Σ(gdp_i × (exp_i - imp_i)\u002Fgdp_i) \u002F Σ(gdp_i) × 100\n- Simplifies to: Σ(exp_i - imp_i) \u002F Σ(gdp_i) × 100\n- SUMPRODUCT handles the element-wise subtraction and summation\n","# Excel Statistical Formulas\n\n## Common Statistical Functions\n```\n=MIN(range)\n=MAX(range)\n=MEDIAN(range)\n=AVERAGE(range)\n=PERCENTILE(range, k)    -- k is 0 to 1 (e.g., 0.25 for 25th percentile)\n```\n\n## ROUND Function\n```\n=ROUND(value, num_digits)   -- e.g., ROUND(12.345, 1) = 12.3\n```\n\n## SUMPRODUCT for Weighted Mean\nGDP-weighted mean of net exports as % of GDP:\n```\n=ROUND(SUMPRODUCT(Exports - Imports) \u002F SUM(GDP) * 100, 1)\n```\n\nThis works because:\n- weighted_mean = Σ(gdp_i × (exp_i - imp_i)\u002Fgdp_i) \u002F Σ(gdp_i) × 100\n- Simplifies to: Σ(exp_i - imp_i) \u002F Σ(gdp_i) × 100\n- SUMPRODUCT handles the element-wise subtraction and summation\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-claude-opus-4-6\u002Fweighted-gdp-calculation\u002Fexcel-statistics-formulas",8,"https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench","https:\u002F\u002Fcxcscmu.github.io\u002FSkillLearnBench","https:\u002F\u002Fgithub.com\u002Fcxcscmu","2026-10-02 22:55:36",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill excel-statistics-formulas",{"tool":50,"command":51},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill excel-statistics-formulas",{"tool":53,"command":54},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill excel-statistics-formulas","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-opus-4-6\u002Fweighted-gdp-calculation\u002Fexcel-statistics-formulas\u002FSKILL.md",true,[],[59,75,100,118,138,150],{"skillNo":60,"name":61,"nameZh":6,"description":62,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":63,"categories":64,"keywords":68,"publishedAt":31},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[65],{"categoryNo":66,"categoryName":67,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",[69,70,71,72,73,74],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":84,"publishedAt":31},"01M6KM51TMVXG79MMPCS6Y8G86","travel-planning-workflow","Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Ftravel-planning-workflow\u002FSKILL.md",[81],{"categoryNo":82,"categoryName":83,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[85,86,87,88,89,90,91,92,93,94,95,96,97,98,99],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","for","user","it","requirements","essential","itineraries",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":31},"01M6KM4DY820XHS9YTSK5QP5HD","bundled-dataset-search-tool","invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Fbundled-dataset-search-tool\u002FSKILL.md",[],[107,108,109,110,111,112,113,88,114,115,89,116,94,117,86],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":31},"01M6KM465BB9PQ0B548HQSVAWZ","glm-output","Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final \u002Froot\u002Fmetrics.json.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-output\u002FSKILL.md",[],[125,126,127,94,128,129,130,131,132,133,134,135,116,136,137],"glm output","output","glm","tasks","metrics","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":145,"publishedAt":31},"01M6KM40KY3QWDW5W97S39R2BC","glm-calibration","Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-calibration\u002FSKILL.md",[144],{"categoryNo":82,"categoryName":83,"taxonomyType":20,"taxonomyTypeDesc":21},[146,137,127,126,132,131,128,147,148,94,149],"glm calibration","setup","companion","metric",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":31},"01M6KM3VHHVSGMGHJQB3PPT6YG","glm-basics","A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-basics\u002FSKILL.md",[],[157,127,131,158,146,137,94,126,159,160,161,162,163,164,128],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]