[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cat:01JBSEEDCAT000000000000033":3,"cat-list:01JBSEEDCAT000000000000033:stars:1":14},{"categoryNo":4,"taxonomyType":5,"taxonomyTypeDesc":6,"categoryName":7,"categoryNameEn":8,"description":9,"level":10,"skillCount":11,"parentNo":12,"parentName":12,"children":13},"01JBSEEDCAT000000000000033","PROFESSION","适用职业","数据分析师","Data Analyst","数据分析、报表与商业智能人员",1,4989,null,[],{"records":15,"total":11,"current":10,"size":494},[16,44,70,96,128,161,188,239,262,288,313,336,359,371,398,422,442,474],{"skillNo":17,"name":18,"nameZh":12,"description":19,"descriptionZh":12,"repositoryFullName":20,"ownerLogin":21,"ownerAvatarUrl":22,"ownerAccountNo":23,"ownerDisplayName":21,"repositoryNo":24,"starsCount":25,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":27,"categories":28,"keywords":30,"publishedAt":43},"01M698YV2Q0R0JJKAWGFS21K0N","visualize","Create inline visuals for code and explanations, or author persistent OpenClaw dashboard widgets with show_widget.","openclaw\u002Fopenclaw","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","01M698P3FSAZ6B4R928ZF19KPT","01M698PDMDRVH56MV30D253NFP",394302,"MIT","https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fopenclaw\u002Fblob\u002Fmain\u002Fskills\u002Fvisualize\u002FSKILL.md",[29],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[18,21,31,32,33,34,35,36,37,38,39,40,41,42],"openclaw dashboard","show","for","visuals","code","author","with","create","inline","dashboard","widgets","widget","2026-11-10 10:12:30",{"skillNo":45,"name":46,"nameZh":12,"description":47,"descriptionZh":12,"repositoryFullName":48,"ownerLogin":49,"ownerAvatarUrl":50,"ownerAccountNo":51,"ownerDisplayName":52,"repositoryNo":53,"starsCount":54,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":55,"categories":56,"keywords":58,"publishedAt":43},"01M6DJXTVNCCKDWN6Z9N5B64BK","scrape","Pull data from a web page through the Aside browser — your real, already signed-in sessions. (gstack)","garrytan\u002Fgstack","garrytan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","01M6DJCCDDG53MTYYRTXAXFG17","Garry Tan","01M6DJCCKGZB08AY82GDQXVJ8G",141107,"https:\u002F\u002Fgithub.com\u002Fgarrytan\u002Fgstack\u002Fblob\u002Fmain\u002Fscrape\u002FSKILL.md",[57],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[46,59,60,61,62,63,64,65,66,67,68,69],"pull","get","page","sessions","Bash","gstack","browser","web","read","data","extract",{"skillNo":71,"name":72,"nameZh":12,"description":73,"descriptionZh":12,"repositoryFullName":48,"ownerLogin":49,"ownerAvatarUrl":50,"ownerAccountNo":51,"ownerDisplayName":52,"repositoryNo":53,"starsCount":54,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":74,"categories":75,"keywords":85,"publishedAt":43},"01M6DJPV8C8BM6TMYHDC5R3Q8H","health","Code quality dashboard. (gstack)","https:\u002F\u002Fgithub.com\u002Fgarrytan\u002Fgstack\u002Fblob\u002Fmain\u002Fhealth\u002FSKILL.md",[76,81,84],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":82,"categoryName":83,"taxonomyType":5,"taxonomyTypeDesc":6},"01JBSEEDCAT000000000000030","开发工程师",{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[72,86,63,35,87,64,88,40,89,90,91,67,92,93,94,95],"code quality","healthy","check","health check","how","quality","write","edit","grep","codebase",{"skillNo":97,"name":98,"nameZh":12,"description":99,"descriptionZh":12,"repositoryFullName":100,"ownerLogin":101,"ownerAvatarUrl":102,"ownerAccountNo":103,"ownerDisplayName":104,"repositoryNo":105,"starsCount":106,"licenseSpdxId":107,"licenseFileUrl":12,"sourceHtmlUrl":108,"categories":109,"keywords":114,"publishedAt":43},"01M6ACBAC3S7GHPX3EB91CA2K5","sql-reporting","Conventions and review steps for writing analytics SQL against the warehouse. Use whenever the task involves querying tables, building a report, or aggregating metrics.","apache\u002Fairflow","apache","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4","01M6AC83E6K4FDKK7HZ8WNMQKE","The Apache Software Foundation","01M6ACADDFF6RHG1DBAJXFG7E5",47442,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fapache\u002Fairflow\u002Fblob\u002Fmain\u002Fproviders\u002Fcommon\u002Fai\u002Fsrc\u002Fairflow\u002Fproviders\u002Fcommon\u002Fai\u002Fexample_dags\u002Fskills\u002Fsql-reporting\u002FSKILL.md",[110,113],{"categoryNo":111,"categoryName":112,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[115,116,117,118,119,120,121,122,123,124,33,125,126,127],"sql reporting","sql","reporting","writing","review","report","analytics","metrics","tables","warehouse","use","task","conventions",{"skillNo":129,"name":130,"nameZh":12,"description":131,"descriptionZh":12,"repositoryFullName":132,"ownerLogin":133,"ownerAvatarUrl":134,"ownerAccountNo":135,"ownerDisplayName":136,"repositoryNo":137,"starsCount":138,"licenseSpdxId":107,"licenseFileUrl":12,"sourceHtmlUrl":139,"categories":140,"keywords":142,"publishedAt":43},"01M718FSWQA891SSCXDKDD40J6","clean-data-xls","Clean up messy spreadsheet data — trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns. Use when data is messy, inconsistent, or needs prep before analysis. Triggers on \"clean this data\", \"clean up this sheet\", \"normalize this data\", \"fix formatting\", \"dedupe\", \"standardize this column\", \"this data is messy\".","anthropics\u002Ffinancial-services","anthropics","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4","01M697XGDPXJAVQ8391V2BCYTE","Anthropic","01M7188Y8CSYMMZ40A4B4N518V",41213,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Ffinancial-analysis\u002Fskills\u002Fclean-data-xls\u002FSKILL.md",[141],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[143,144,145,68,146,147,148,149,150,151,152,153,154,155,156,125,157,158,159,160],"clean","clean data xls","xls","normalize","as","duplicates","spreadsheet","remove","up","fix","dates","triggers","whitespace","trim","when","convert","analysis","type",{"skillNo":162,"name":163,"nameZh":12,"description":164,"descriptionZh":12,"repositoryFullName":165,"ownerLogin":166,"ownerAvatarUrl":167,"ownerAccountNo":168,"ownerDisplayName":169,"repositoryNo":170,"starsCount":171,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":172,"categories":173,"keywords":179,"publishedAt":43},"01M6CDE3T5NN029NEKKC6YS6K0","dataviz","Choose and produce an appropriate chart\u002Fdashboard\u002Fvisual explanation from data, with legible encodings and source\u002Fassumption notes.","codewhale-hq\u002FCodewhale","codewhale-hq","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F326694313?v=4","01M6CDD9D70AD3631SMRJ7REW4","Codewhale","01M6CDD9H0VAXYCB2NGGPZC16K",41175,"https:\u002F\u002Fgithub.com\u002Fcodewhale-hq\u002FCodewhale\u002Fblob\u002Fmain\u002Fcrates\u002Fskills\u002Fassets\u002Fskills\u002Fdataviz\u002FSKILL.md",[174,175,178],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":176,"categoryName":177,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[163,180,181,182,183,40,68,184,185,186,37,187],"model","choose","produce","notes","user","chart","visual","source",{"skillNo":189,"name":190,"nameZh":12,"description":191,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":199,"categories":200,"keywords":213,"publishedAt":43},"01M6ADM0E288AAWG8ARN80QA73","gdpr-compliant","Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention\u002Fdeletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI\u002FCD pipelines that process real data, or any question framed as \"is this GDPR-compliant?\". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.","github\u002Fawesome-copilot","github","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","01M6AC83DS133TPXFSP1DHNCC6","GitHub","01M6AD3PBDYPK7NVFJNJ66Y8RS",41028,"https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fgdpr-compliant\u002FSKILL.md",[201,204,207,208,209,210],{"categoryNo":202,"categoryName":203,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":205,"categoryName":206,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":176,"categoryName":177,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":82,"categoryName":83,"taxonomyType":5,"taxonomyTypeDesc":6},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},{"categoryNo":211,"categoryName":212,"taxonomyType":5,"taxonomyTypeDesc":6},"01JBSEEDCAT000000000000036","内容创作者",[214,215,59,216,217,218,118,219,220,221,222,223,121,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,68],"gdpr compliant","gdpr","authentication","ci","engineering practices","logs","pull requests","compliance","audit","cloud","engineering","personal","developer","logging","infrastructure","flows","retention","implementing","framed","question","you","encryption","across","designing apis","CI\u002FCD",{"skillNo":240,"name":241,"nameZh":12,"description":242,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":243,"categories":244,"keywords":247,"publishedAt":43},"01M6AE8CMZFZT5D88RWNFDMMPN","ssma-console","Use when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migration","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fssma-console\u002FSKILL.md",[245,246],{"categoryNo":111,"categoryName":112,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[248,249,38,250,251,116,120,252,253,68,254,255,256,257,125,157,158,258,259,260,261],"console","ssma console","server","generate","sql server","assessment","oracle","project","create project","schema","migrate","conversion","operations","migration",{"skillNo":263,"name":264,"nameZh":12,"description":265,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":266,"categories":267,"keywords":270,"publishedAt":43},"01M6AE89N96WPAG700R5R4FFED","sql-server-table-reconciliation","Use when: comparing SQL Server tables across instances, data migration validation, ETL verification, row mismatch detection, schema drift, reconciliation report, production vs staging comparison. Uses mssql-python driver with Apache Arrow for fast columnar data transfer and comparison.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsql-server-table-reconciliation\u002FSKILL.md",[268,269],{"categoryNo":111,"categoryName":112,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[250,116,252,271,272,273,274,275,101,276,277,120,278,279,68,280,281,282,283,284,157,285,236,286,287,123,33],"sql server table reconciliation","reconciliation","table","python","verification","arrow","etl","validation","detection","fast","Production","transfer","instances","apache arrow","drift","mssql","data migration",{"skillNo":289,"name":290,"nameZh":12,"description":291,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":292,"categories":293,"keywords":296,"publishedAt":43},"01M6AE86V4RM9KYEWY37PPNXHJ","sql-optimization","Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsql-optimization\u002FSKILL.md",[294,295],{"categoryNo":111,"categoryName":112,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[297,116,298,299,254,300,301,302,303,304,250,305,252,306,307,308,309,159,236,310,311,312],"Optimization","sql optimization","performance","database","monitoring","batch","mysql","postgresql","database performance","assistant","execution plan","databases","query","strategies","indexing","plan",{"skillNo":314,"name":315,"nameZh":12,"description":316,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":317,"categories":318,"keywords":321,"publishedAt":43},"01M6AE83ZEFXZ4G29WZ92JMF52","sql-object-impact-analysis","Before modifying a table, column, stored procedure, view, or trigger in a legacy codebase, trace every place that references it — across other SQL objects (procs, views, triggers) AND application code (C#, Angular\u002FTypeScript, JS, or any language in the repo) — and produce a structured blast-radius report so you know what breaks before you change it. Use when the user asks 'what uses this column\u002Ftable\u002Fprocedure', 'is it safe to change X', 'what depends on this', 'impact of renaming\u002Fdropping X', or before any schema\u002Fproc modification in an unfamiliar or legacy codebase. Not for privacy\u002FPII exposure analysis (see data-breach-blast-radius) or query performance tuning (see sql-optimization).","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsql-object-impact-analysis\u002FSKILL.md",[319,320],{"categoryNo":111,"categoryName":112,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[116,322,323,159,324,325,326,297,299,120,327,328,329,68,182,35,330,331,157,332,333,234,309,236,334,335],"sql object impact analysis","impact","impact analysis","object","change","safe","privacy","typescript","pii","objects","blast-radius","angular","data-breach","references",{"skillNo":337,"name":338,"nameZh":12,"description":339,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":340,"categories":341,"keywords":349,"publishedAt":43},"01M6AE80XB36JNKZY1YFATCBWE","sql-code-review","Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsql-code-review\u002FSKILL.md",[342,345,346,347,348],{"categoryNo":343,"categoryName":344,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":111,"categoryName":112,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":176,"categoryName":177,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":82,"categoryName":83,"taxonomyType":5,"taxonomyTypeDesc":6},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[350,35,119,351,116,86,352,297,254,303,304,250,353,252,279,306,354,355,308,356,159,236,357,358,298],"code review","sql code review","development","pattern detection","security","coverage","access","pattern","injection",{"skillNo":360,"name":361,"nameZh":12,"description":362,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":363,"categories":364,"keywords":366,"publishedAt":43},"01M6AE7DT0VYHF8RNZC1THM2P8","shuffle-json-data","Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fshuffle-json-data\u002FSKILL.md",[365],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[68,367,368,369,370,331,257],"shuffle json data","json","consistency","entries",{"skillNo":372,"name":373,"nameZh":12,"description":374,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":375,"categories":376,"keywords":380,"publishedAt":43},"01M6AE6YQ0YWXEYHKY7D3N7GBF","security-review","AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like \"is my code secure?\", \"review for security issues\", \"audit this codebase\", or \"check for vulnerabilities\". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fsecurity-review\u002FSKILL.md",[377,378,379],{"categoryNo":111,"categoryName":112,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":176,"categoryName":177,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[119,381,354,216,382,383,274,384,385,35,386,387,388,222,116,389,329,390,391,68,392,229,393,356,157,394,395,236,396,397],"security review","rust","issues","security scanner","java","javascript","scan code","component","secure","vulnerabilities","cryptography","api keys","ruby","api","xss","scanner","command",{"skillNo":399,"name":400,"nameZh":12,"description":401,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":402,"categories":403,"keywords":405,"publishedAt":43},"01M6AE268FHYN3X9P4RY9ZT1TM","qdrant-scaling-data-volume","Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fqdrant-scaling\u002Fscaling-data-volume\u002FSKILL.md",[404],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[406,407,408,68,409,410,411,412,413,414,415,416,417,125,157,418,419,420,421,67],"qdrant scaling","qdrant scaling data volume","Qdrant","volume","scaling","storage","capacity","tenant","fit","time","rotation","more","decisions","growth","guides","window",{"skillNo":423,"name":424,"nameZh":12,"description":425,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":426,"categories":427,"keywords":430,"publishedAt":43},"01M6AE05X8MVR43432F7Q6V9Z4","pr-dashboard","Open a GitHub PR dashboard in the browser. Use when the user asks to see their pull requests, open the PR dashboard, show PRs for a date range, or check PR status. Trigger phrases include \"show my PRs\", \"open PR dashboard\", \"pull request dashboard\".","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpr-dashboard\u002FSKILL.md",[428,429],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[40,431,432,59,65,220,193,433,434,435,32,33,436,437,438,125,157,439,88,440,441],"pr","pr dashboard","pull request","status","open pr","trigger","prs","open","github pr","requests","request",{"skillNo":443,"name":444,"nameZh":12,"description":445,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":446,"categories":447,"keywords":460,"publishedAt":43},"01M6ADZN19XFH2A3G1DT56Q9TB","power-bi-report-design-consultation","Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpower-bi-report-design-consultation\u002FSKILL.md",[448,449,452,453,456,457],{"categoryNo":77,"categoryName":78,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":450,"categoryName":451,"taxonomyType":79,"taxonomyTypeDesc":80},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":176,"categoryName":177,"taxonomyType":79,"taxonomyTypeDesc":80},{"categoryNo":454,"categoryName":455,"taxonomyType":5,"taxonomyTypeDesc":6},"01JBSEEDCAT000000000000032","设计师",{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},{"categoryNo":458,"categoryName":459,"taxonomyType":5,"taxonomyTypeDesc":6},"01JBSEEDCAT000000000000034","行政与办公人员",[120,461,462,463,464,465,466,467,468,469,185,470,471,472,33,473,37,184],"design","power bi report design consultation","power bi","power","bi","consultation","design consultation","visualization","selection","reports","layout","chart selection","prompt",{"skillNo":475,"name":476,"nameZh":12,"description":477,"descriptionZh":12,"repositoryFullName":192,"ownerLogin":193,"ownerAvatarUrl":194,"ownerAccountNo":195,"ownerDisplayName":196,"repositoryNo":197,"starsCount":198,"licenseSpdxId":26,"licenseFileUrl":12,"sourceHtmlUrl":478,"categories":479,"keywords":481,"publishedAt":43},"01M6ADZ6HS53T056314SFRJP6K","postgresql-optimization","PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range\u002Fgeometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.","https:\u002F\u002Fgithub.com\u002Fgithub\u002Fawesome-copilot\u002Fblob\u002Fmain\u002Fskills\u002Fpostgresql-optimization\u002FSKILL.md",[480],{"categoryNo":4,"categoryName":7,"taxonomyType":5,"taxonomyTypeDesc":6},[304,482,297,352,483,68,306,484,485,486,487,488,421,489,490,491,492,493,260],"postgresql optimization","search","capabilities","ecosystem","types","advanced","text","features","full","custom","extensions","functions",18]