[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"creator:01M6KCQDFQWPDSN0MKZY96MSQP":3,"creator-list:01M6KCQDFQWPDSN0MKZY96MSQP:stars:1:":19},{"accountNo":4,"login":5,"displayName":5,"avatarUrl":6,"accountType":7,"accountTypeDesc":8,"profileDescription":9,"skillCount":10,"repoCount":11,"professionCount":12,"scenarioCount":13,"totalStars":14,"updatedAt":15,"htmlUrl":16,"blogUrl":9,"company":9,"location":9,"followersCount":17,"publicReposCount":18},"01M6KCQDFQWPDSN0MKZY96MSQP","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","ORGANIZATION","组织",null,1268,1,8,7,93,"2026-10-02 22:55:36","https:\u002F\u002Fgithub.com\u002Fcxcscmu",37,51,{"records":20,"total":10,"current":11,"size":359},[21,43,68,86,106,118,133,159,169,183,206,228,245,265,286,307,322,338],{"skillNo":22,"name":23,"nameZh":9,"description":24,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":28,"categories":29,"keywords":35,"publishedAt":42},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","cxcscmu\u002FSkillLearnBench","01M6KCQDM7G70TKJ28NTSQC0RZ","MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[30],{"categoryNo":31,"categoryName":32,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[36,37,38,39,40,41],"object","object counter","image","Computer Vision","computer","vision","2026-11-10 10:12:30",{"skillNo":44,"name":45,"nameZh":9,"description":46,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":47,"categories":48,"keywords":52,"publishedAt":42},"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",[49],{"categoryNo":50,"categoryName":51,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000023","Skill与智能体开发",[53,54,55,56,57,58,59,60,61,62,63,64,65,66,67],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","plan","user","itineraries","structured","essential","requirements","it","for","performing",{"skillNo":69,"name":70,"nameZh":9,"description":71,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":72,"categories":73,"keywords":74,"publishedAt":42},"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",[],[75,76,77,78,54,79,80,81,56,82,83,57,84,85,66],"search","tool","dataset","bundled dataset search tool","database","Tools","up","look","flights","you","restaurants",{"skillNo":87,"name":88,"nameZh":9,"description":89,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":42},"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",[],[93,94,95,96,97,98,99,100,101,102,103,84,104,66,105],"glm","output","glm output","tasks","metrics","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":107,"name":108,"nameZh":9,"description":109,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":110,"categories":111,"keywords":113,"publishedAt":42},"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",[112],{"categoryNo":50,"categoryName":51,"taxonomyType":33,"taxonomyTypeDesc":34},[93,105,114,115,96,99,100,94,116,66,117],"glm calibration","setup","companion","metric",{"skillNo":119,"name":120,"nameZh":9,"description":121,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":42},"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",[],[99,93,125,96,126,127,128,129,130,131,94,132,66,105,114],"glm basics","Evaluation","how","use","good","files","relevant","inspect",{"skillNo":134,"name":135,"nameZh":9,"description":136,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":137,"categories":138,"keywords":142,"publishedAt":42},"01M6KM3NKG0TNJGKN0HTYQ34GX","d3js-visualization","Build deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML\u002FSVG (and optional PNG) from local data files without external network dependencies. Use when tasks require charts, plots, axes\u002Fscales, legends, tooltips, or data-driven SVG output.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fstock-data-visualization\u002Fd3-visualization\u002FSKILL.md",[139],{"categoryNo":140,"categoryName":141,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000013","分析与可视化",[143,144,96,145,146,147,148,149,150,128,151,130,152,153,154,155,94,156,157,158],"visualization","d3js visualization","generate","network","data","Charts","visualizations","png","html","deterministic","local","d3","SVG","with","standalone","data-driven",{"skillNo":160,"name":161,"nameZh":9,"description":9,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":162,"categories":163,"keywords":167,"publishedAt":42},"01M6KM3FYKRRGH1H0VB0K2QK66","pdf","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fschedule-planning\u002Fpdf\u002FSKILL.md",[164],{"categoryNo":165,"categoryName":166,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000002","文档处理",[168],"PDF",{"skillNo":170,"name":171,"nameZh":9,"description":172,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":173,"categories":174,"keywords":175,"publishedAt":42},"01M6KM3C9GGRNXMGN33H1KDG49","constraint-parser","Parse scheduling constraints from a email text.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fschedule-planning\u002Fconstraint-parser\u002FSKILL.md",[],[176,177,178,179,180,181,182],"parser","constraint","constraint parser","email","constraints","text","scheduling",{"skillNo":184,"name":185,"nameZh":9,"description":186,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":187,"categories":188,"keywords":189,"publishedAt":42},"01M6KM37ZZGEEXKAAYP5A9X31F","python-scala-functional","Guide for translating Python code to functional Scala style. Use when converting Python code involving numeric formatting, higher-order functions, decorators, closures, generators, or when aiming for idiomatic functional Scala with pattern matching, Option handling, and monadic operations.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fpython-scala-translation\u002Fpython-scala-functional\u002FSKILL.md",[],[190,191,192,193,194,195,196,197,128,198,199,101,200,201,202,203,156,204,66,205],"python","scala","functional","python scala functional","code","option","operations","guide","functions","pattern","formatting","style","pattern matching","decorators","python code","idiomatic",{"skillNo":207,"name":208,"nameZh":9,"description":209,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":210,"categories":211,"keywords":212,"publishedAt":42},"01M6KM2NP3YJ76W6C513J71CDP","planning-with-files","Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Forganize-messy-files\u002Fplanning-with-files\u002FSKILL.md",[],[213,54,130,156,214,96,215,216,59,217,218,219,220,221,222,223,224,225,226,227],"planning with files","with files","update","Bash","projects","command","read","write","edit","auto","ready","Echo","progress","scripts","websearch",{"skillNo":229,"name":230,"nameZh":9,"description":231,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":232,"categories":233,"keywords":234,"publishedAt":42},"01M6KM29ZREBRDP9H601C9JAXP","file-organizer","Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Forganize-messy-files\u002Ffile-organizer\u002FSKILL.md",[],[235,236,96,237,238,40,239,240,241,130,242,243,244],"file","file organizer","cleanup","tidy","workspace","context","duplicates","across","manual","load",{"skillNo":246,"name":247,"nameZh":9,"description":248,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":249,"categories":250,"keywords":257,"publishedAt":42},"01M6KM1X5KCJPF0F7CVSRPK584","docx","Word document manipulation with python-docx - handling split placeholders, headers\u002Ffooters, nested tables","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Foffer-letter-generator\u002Fdocx\u002FSKILL.md",[251,252],{"categoryNo":165,"categoryName":166,"taxonomyType":33,"taxonomyTypeDesc":34},{"categoryNo":253,"categoryName":254,"taxonomyType":255,"taxonomyTypeDesc":256},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[247,190,258,259,260,156,261,262,263,264],"Word","nested","document","headers","tables","python-docx","split",{"skillNo":266,"name":267,"nameZh":9,"description":268,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":269,"categories":270,"keywords":274,"publishedAt":42},"01M6KM1H8DW0AZR3SH48YDBFVE","nlp-research-repo-package-installment","Align Python version and repo-declared dependencies (requirements.txt \u002F environment.yml) before installing packages for NLP research code reproduction.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fnlp-paper-reproduction\u002Fnlp-research-repo-package-installment\u002FSKILL.md",[271],{"categoryNo":272,"categoryName":273,"taxonomyType":33,"taxonomyTypeDesc":34},"01JBSEEDCAT000000000000021","资料检索与研究",[275,276,277,278,279,190,280,194,281,282,283,284,64,285,66],"nlp","research","package","repo","nlp research repo package installment","packages","environment","version","align","dependencies","research code",{"skillNo":287,"name":288,"nameZh":9,"description":289,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":290,"categories":291,"keywords":292,"publishedAt":42},"01M6KM15Y14Z8P5M2H8EFNASNY","jackson-security","Security considerations for Jackson JSON deserialization in Java applications. This skill covers common attack patterns such as the Empty Key (\"\") attack vector, polymorphic type handling, nested injection, and duplicate keys, along with their root causes and recommended mitigation strategies. It provides essential background knowledge and is highly useful for addressing related security vulnerabilities. It is always recommended to invoke this skill before working on relevant security fixes.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ffix-security-bug\u002Fjackson-security\u002FSKILL.md",[],[293,294,295,296,297,298,299,300,98,301,259,302,63,303,304,305,131,156,66,306],"security","jackson","jackson security","java","vector","deserialization","applications","knowledge","common","strategies","as","type","duplicate","fixes",{"skillNo":308,"name":309,"nameZh":9,"description":310,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":311,"categories":312,"keywords":313,"publishedAt":42},"01M6KM10JQY57W2N08G41PGNJQ","fuzzy-name-search","This skill includes search capability in 13F, such as fuzzy search a fund information using possibly inaccurate name, or fuzzy search a stock cusip info using its name.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ffinancial-analysis\u002Ffuzzy-name-search\u002FSKILL.md",[],[75,314,315,316,317,318,303,319,320,321],"name","fuzzy name search","fund","info","stock","information","13f","fuzzy search",{"skillNo":323,"name":324,"nameZh":9,"description":325,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":326,"categories":327,"keywords":329,"publishedAt":42},"01M6KM0X573P2DGZ45M3MAFGCX","13f-analyzer","Perform various data analysis on SEC 13-F and obtain some insights of fund activities such as number of holdings, AUM, and change of holdings between two quarters.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ffinancial-analysis\u002F13f-analyzer\u002FSKILL.md",[328],{"categoryNo":140,"categoryName":141,"taxonomyType":33,"taxonomyTypeDesc":34},[320,330,331,332,333,147,334,316,303,335,336,337],"analyzer","13f analyzer","data analysis","change","analysis","insights","number","holdings",{"skillNo":339,"name":340,"nameZh":9,"description":341,"descriptionZh":9,"repositoryFullName":25,"ownerLogin":5,"ownerAvatarUrl":6,"ownerAccountNo":4,"ownerDisplayName":9,"repositoryNo":26,"starsCount":14,"licenseSpdxId":27,"licenseFileUrl":9,"sourceHtmlUrl":342,"categories":343,"keywords":344,"publishedAt":42},"01M6KM0Q4BGT663EXPYGT4PR9K","artifact-review-search","Multi-hop search over enterprise artifacts to find key reviewers, approvers, feedback contributors, authors, product reports, competitor insights, and demo URLs. Prevents cross-product leakage and prevents treating meeting participants as reviewers.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fenterprise-information-search\u002Fartifact-review-search\u002FSKILL.md",[],[345,75,346,347,348,349,350,351,352,353,354,355,356,303,357,335,358],"review","artifact","artifact review search","artifacts","product","demo","Enterprise","hop","feedback","find","contributors","reports","multi","meeting",18]