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03:57:35",{"accountNo":164,"login":165,"displayName":166,"avatarUrl":167,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":168,"repoCount":169,"professionCount":5,"scenarioCount":6,"totalStars":170,"updatedAt":171},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,231826,"2026-11-13 04:18:26",{"accountNo":173,"login":174,"displayName":175,"avatarUrl":176,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":177,"repoCount":178,"professionCount":179,"scenarioCount":6,"totalStars":180,"updatedAt":181},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188014,"2026-11-13 02:38:59",{"accountNo":183,"login":184,"displayName":185,"avatarUrl":186,"accountType":187,"accountTypeDesc":188,"profileDescription":189,"skillCount":190,"repoCount":191,"professionCount":130,"scenarioCount":6,"totalStars":192,"updatedAt":193},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. 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Use when working with SKILL.md files, authoring new skills, improving existing skills, creating slash commands, or understanding skill structure and best practices.","https:\u002F\u002Fgithub.com\u002FThe-Rabak\u002Fnaysmith\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fcreate-agent-skills\u002FSKILL.md",[284],{"categoryNo":285,"categoryName":286,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",[288,289,290,291,292,274,293,294,295,296,297,298],"create agent","create","create agent skills","claude code skills","code","use","files","guidance","expert","structure","commands",{"skillNo":300,"name":301,"nameZh":18,"description":302,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":303,"categories":304,"keywords":306,"publishedAt":220},"01M6CY96J6DN8M4TXC23VPFMV6","create-agent-skill","Create or edit Claude Code skills with expert guidance on structure and best practices","https:\u002F\u002Fgithub.com\u002FThe-Rabak\u002Fnaysmith\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fcreate-agent-skill\u002FSKILL.md",[305],{"categoryNo":285,"categoryName":286,"taxonomyType":58,"taxonomyTypeDesc":59},[288,289,307,308,291,292,274,309,295,296,297],"create agent skill","agent skill","edit",{"skillNo":311,"name":312,"nameZh":18,"description":313,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":314,"categories":315,"keywords":316,"publishedAt":220},"01M6CY93YR2H4A44ZWAYGBQ5MM","compound-docs","Capture solved problems as categorized documentation with YAML frontmatter for fast lookup","https:\u002F\u002Fgithub.com\u002FThe-Rabak\u002Fnaysmith\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fcompound-docs\u002FSKILL.md",[],[253,317,318,258,319,320,321,322,323,324,325,326],"compound docs","compound","yaml","fast","lookup","Bash","grep","capture","read","write",{"skillNo":328,"name":329,"nameZh":18,"description":330,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":331,"categories":332,"keywords":333,"publishedAt":220},"01M6CY91DN17KCPTQS1YTPZ0FZ","changelog","Create engaging changelogs for recent merges to main branch","https:\u002F\u002Fgithub.com\u002FThe-Rabak\u002Fnaysmith\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fchangelog\u002FSKILL.md",[],[329,289,334,335],"branch","main",{"skillNo":337,"name":338,"nameZh":18,"description":339,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":340,"categories":341,"keywords":342,"publishedAt":220},"01M6CY8ZRC66RVT5J84HY7PD9H","cancel-ralph","Cancel an active ralph loop","https:\u002F\u002Fgithub.com\u002FThe-Rabak\u002Fnaysmith\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fcancel-ralph\u002FSKILL.md",[],[343,344,345,346,347,348],"ralph","cancel ralph","cancel","loop","ralph loop","active",{"skillNo":350,"name":351,"nameZh":18,"description":352,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":353,"categories":354,"keywords":358,"publishedAt":220},"01M6CY8WBP7ZDBWQ99SCQGPKHH","brainstorming","This skill should be used before implementing features, building components, or making changes. It guides exploring user intent, approaches, and design decisions before planning. Triggers on \"let's brainstorm\", \"help me think through\", \"what should we build\", \"explore approaches\", ambiguous feature requests, or when the user's request has multiple valid interpretations that need clarification.","https:\u002F\u002Fgithub.com\u002FThe-Rabak\u002Fnaysmith\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fbrainstorming\u002FSKILL.md",[355],{"categoryNo":356,"categoryName":357,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000015","视觉设计",[351,359,360,361,362,363,364,365,238,366,239,367,368,369,370],"design","valid","components","feature requests","planning","help","explore","decisions","think","build","intent","me",{"skillNo":372,"name":373,"nameZh":18,"description":374,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":375,"categories":376,"keywords":378,"publishedAt":220},"01M6CY8REJJZJJAM2HK6F342QB","agent-native-architecture","Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.","https:\u002F\u002Fgithub.com\u002FThe-Rabak\u002Fnaysmith\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fagent-native-architecture\u002FSKILL.md",[377],{"categoryNo":285,"categoryName":286,"taxonomyType":58,"taxonomyTypeDesc":59},[379,380,381,382,383,384,385,386,346,387,293,388,368,389],"architecture","agent native architecture","MCP","autonomous agents","mcp tools","Tools","applications","first","autonomous","outcomes","self",{"skillNo":391,"name":392,"nameZh":18,"description":393,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":394,"categories":395,"keywords":400,"publishedAt":220},"01M6CY8KX08EHW4R4M9RZRJHJE","agent-browser","Browser automation using Vercel's agent-browser CLI. Use when you need to interact with web pages, fill forms, take screenshots, or scrape data. Alternative to Playwright MCP - uses Bash commands with ref-based element selection. Triggers on \"browse website\", \"fill form\", \"click button\", \"take screenshot\", \"scrape page\", \"web automation\".","https:\u002F\u002Fgithub.com\u002FThe-Rabak\u002Fnaysmith\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fagent-browser\u002FSKILL.md",[396,399],{"categoryNo":397,"categoryName":398,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":285,"categoryName":286,"taxonomyType":58,"taxonomyTypeDesc":59},[401,402,381,403,404,405,406,407,408,409,410,322,411,293,412,413,414,415,416,298],"agent browser","browser","cli","browser automation","automation","playwright","web","website","scrape","browse","page","vercel","take","selection","scrape page","forms",{"skillNo":418,"name":419,"nameZh":18,"description":420,"descriptionZh":18,"repositoryFullName":421,"ownerLogin":422,"ownerAvatarUrl":423,"ownerAccountNo":424,"ownerDisplayName":425,"repositoryNo":426,"starsCount":206,"licenseSpdxId":427,"licenseFileUrl":18,"sourceHtmlUrl":428,"categories":429,"keywords":430,"publishedAt":220},"01M6CY8269784EN3M5TCSD07EB","tabular-demo","Demo step skill for tabular data.","Riteesh-2k6\u002Fbeyondml","Riteesh-2k6","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F140528424?v=4","01M6CY6V18JEE5K6V3V28ZWQNK","Riteesh Thiruveedhula","01M6CY6V5BAR5VMFSG62KXRNA4","MIT","https:\u002F\u002Fgithub.com\u002FRiteesh-2k6\u002Fbeyondml\u002Fblob\u002Fmain\u002Ftests\u002Fdata\u002Fskills\u002Ftabular-demo\u002FSKILL.md",[],[431,432,433,434,435,436,325,437],"demo","tabular demo","python","run","file","data","finish",{"skillNo":439,"name":440,"nameZh":18,"description":441,"descriptionZh":18,"repositoryFullName":421,"ownerLogin":422,"ownerAvatarUrl":423,"ownerAccountNo":424,"ownerDisplayName":425,"repositoryNo":426,"starsCount":206,"licenseSpdxId":427,"licenseFileUrl":18,"sourceHtmlUrl":442,"categories":443,"keywords":444,"publishedAt":220},"01M6CY80AQNXNZT62N6GQZXA52","leakage-demo","Demo knowledge skill about target leakage.","https:\u002F\u002Fgithub.com\u002FRiteesh-2k6\u002Fbeyondml\u002Fblob\u002Fmain\u002Ftests\u002Fdata\u002Fskills\u002Fleakage-demo\u002FSKILL.md",[],[431,445,446],"leakage demo","knowledge",{"skillNo":448,"name":449,"nameZh":18,"description":450,"descriptionZh":18,"repositoryFullName":421,"ownerLogin":422,"ownerAvatarUrl":423,"ownerAccountNo":424,"ownerDisplayName":425,"repositoryNo":426,"starsCount":206,"licenseSpdxId":427,"licenseFileUrl":18,"sourceHtmlUrl":451,"categories":452,"keywords":453,"publishedAt":220},"01M6CY7YDZB93PX14NDCJDBPRX","bad-name","Name does not match its folder.","https:\u002F\u002Fgithub.com\u002FRiteesh-2k6\u002Fbeyondml\u002Fblob\u002Fmain\u002Ftests\u002Fdata\u002Fskills\u002FBadName\u002FSKILL.md",[],[454],"bad name",{"skillNo":456,"name":457,"nameZh":18,"description":458,"descriptionZh":18,"repositoryFullName":421,"ownerLogin":422,"ownerAvatarUrl":423,"ownerAccountNo":424,"ownerDisplayName":425,"repositoryNo":426,"starsCount":206,"licenseSpdxId":427,"licenseFileUrl":18,"sourceHtmlUrl":459,"categories":460,"keywords":462,"publishedAt":220},"01M6CY7VZ7MJXVVQ5GCKTJWEXV","train-test-split","How to split data so the score is honest.","https:\u002F\u002Fgithub.com\u002FRiteesh-2k6\u002Fbeyondml\u002Fblob\u002Fmain\u002Fbeyondml\u002Fskills\u002Ftrain-test-split\u002FSKILL.md",[461],{"categoryNo":397,"categoryName":398,"taxonomyType":58,"taxonomyTypeDesc":59},[463,464,465,436,466,446],"test","train","train test split","how",{"skillNo":468,"name":469,"nameZh":18,"description":470,"descriptionZh":18,"repositoryFullName":421,"ownerLogin":422,"ownerAvatarUrl":423,"ownerAccountNo":424,"ownerDisplayName":425,"repositoryNo":426,"starsCount":206,"licenseSpdxId":427,"licenseFileUrl":18,"sourceHtmlUrl":471,"categories":472,"keywords":473,"publishedAt":220},"01M6CY7SHBNZXKWXVNYXJFJRX3","tabular-features","Writes src\u002Ffeatures.py with derived features (ratios, logs, interactions) and no target use. Usually right after tabular-eda. Check: run src\u002Ffeatures.py, expects data\u002Fprocessed\u002Ffeatures.csv.","https:\u002F\u002Fgithub.com\u002FRiteesh-2k6\u002Fbeyondml\u002Fblob\u002Fmain\u002Fbeyondml\u002Fskills\u002Ftabular-features\u002FSKILL.md",[],[474,433,434,435,475,476,436,477,478,479,325,326,480,239,481,293,437,294,482,483],"tabular features","logs","csv","src","check","ask","list","profile","scan","eda",{"skillNo":485,"name":486,"nameZh":18,"description":487,"descriptionZh":18,"repositoryFullName":421,"ownerLogin":422,"ownerAvatarUrl":423,"ownerAccountNo":424,"ownerDisplayName":425,"repositoryNo":426,"starsCount":206,"licenseSpdxId":427,"licenseFileUrl":18,"sourceHtmlUrl":488,"categories":489,"keywords":490,"publishedAt":220},"01M6CY7Q2GNHM2NM7ZVRMGRX7P","tabular-export","Writes the shipped code (src\u002Fpipeline.py, src\u002Ftrain.py, src\u002Fpredict.py) from the winning run and trains it. Usually right after evolve-search or tabular-ensemble. Check: run src\u002Ftrain.py, expects models\u002Fmodel.joblib, metric accuracy (classification) or r2 (regression) with a minimum.","https:\u002F\u002Fgithub.com\u002FRiteesh-2k6\u002Fbeyondml\u002Fblob\u002Fmain\u002Fbeyondml\u002Fskills\u002Ftabular-export\u002FSKILL.md",[],[491,492,433,434,292,493,435,494,495,477,496,497,498,325,326,480,437,294,499,464],"export","tabular export","search","pipeline","classification","model","regression","evolve","models",10632,18]