[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:10592:":195},{"skillCount":4,"professionCount":5,"scenarioCount":6,"creatorCount":7},196852,11,7,1926,[9,20,27,34,41,48],{"categoryNo":10,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":13,"categoryNameEn":14,"description":15,"level":16,"skillCount":17,"parentNo":18,"parentName":18,"children":19},"01JBSEEDCAT000000000000030","PROFESSION","适用职业","开发工程师","Software Engineer","从事软件编码、测试与运维的工程师",1,13274,null,[],{"categoryNo":21,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":22,"categoryNameEn":23,"description":24,"level":16,"skillCount":25,"parentNo":18,"parentName":18,"children":26},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7775,[],{"categoryNo":28,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":29,"categoryNameEn":30,"description":31,"level":16,"skillCount":32,"parentNo":18,"parentName":18,"children":33},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4988,[],{"categoryNo":35,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":36,"categoryNameEn":37,"description":38,"level":16,"skillCount":39,"parentNo":18,"parentName":18,"children":40},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":42,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":43,"categoryNameEn":44,"description":45,"level":16,"skillCount":46,"parentNo":18,"parentName":18,"children":47},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":49,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":50,"categoryNameEn":51,"description":52,"level":16,"skillCount":53,"parentNo":18,"parentName":18,"children":54},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3316,[],[56,65,72,79,86,93],{"categoryNo":57,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":60,"categoryNameEn":61,"description":62,"level":16,"skillCount":63,"parentNo":18,"parentName":18,"children":64},"01JBSEEDCAT000000000000022","SCENARIO","使用场景","智能体与自动化","Agents & Automation","Skill、MCP、智能体与工作流自动化",39458,[],{"categoryNo":66,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":67,"categoryNameEn":68,"description":69,"level":16,"skillCount":70,"parentNo":18,"parentName":18,"children":71},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26531,[],{"categoryNo":73,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":74,"categoryNameEn":75,"description":76,"level":16,"skillCount":77,"parentNo":18,"parentName":18,"children":78},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13569,[],{"categoryNo":80,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":81,"categoryNameEn":82,"description":83,"level":16,"skillCount":84,"parentNo":18,"parentName":18,"children":85},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6289,[],{"categoryNo":87,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":88,"categoryNameEn":89,"description":90,"level":16,"skillCount":91,"parentNo":18,"parentName":18,"children":92},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6029,[],{"categoryNo":94,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":95,"categoryNameEn":96,"description":97,"level":16,"skillCount":98,"parentNo":18,"parentName":18,"children":99},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5531,[],{"records":101,"total":7,"current":16,"size":194},[102,114,123,133,143,153,163,172,182],{"accountNo":103,"login":104,"displayName":105,"avatarUrl":106,"accountType":107,"accountTypeDesc":108,"profileDescription":109,"skillCount":110,"repoCount":111,"professionCount":5,"scenarioCount":6,"totalStars":112,"updatedAt":113},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4160,229,828772,"2026-11-13 04:10:52",{"accountNo":115,"login":116,"displayName":116,"avatarUrl":117,"accountType":107,"accountTypeDesc":108,"profileDescription":118,"skillCount":119,"repoCount":120,"professionCount":6,"scenarioCount":6,"totalStars":121,"updatedAt":122},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437711,"2026-11-13 03:02:05",{"accountNo":124,"login":125,"displayName":126,"avatarUrl":127,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":128,"repoCount":129,"professionCount":6,"scenarioCount":130,"totalStars":131,"updatedAt":132},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,342695,"2026-11-13 04:03:41",{"accountNo":134,"login":135,"displayName":136,"avatarUrl":137,"accountType":107,"accountTypeDesc":108,"profileDescription":18,"skillCount":138,"repoCount":139,"professionCount":140,"scenarioCount":6,"totalStars":141,"updatedAt":142},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",420,75,8,298176,"2026-11-13 03:14:28",{"accountNo":144,"login":145,"displayName":146,"avatarUrl":147,"accountType":107,"accountTypeDesc":108,"profileDescription":148,"skillCount":149,"repoCount":150,"professionCount":5,"scenarioCount":6,"totalStars":151,"updatedAt":152},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",535,48,242366,"2026-11-13 04:17:09",{"accountNo":154,"login":155,"displayName":156,"avatarUrl":157,"accountType":107,"accountTypeDesc":108,"profileDescription":158,"skillCount":159,"repoCount":160,"professionCount":5,"scenarioCount":6,"totalStars":161,"updatedAt":162},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",940,28,238441,"2026-11-13 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. ",324,3,174614,"2026-11-13 04:05:07",9,{"records":196,"total":4,"current":503,"size":504},[197,230,248,280,299,319,332,357,367,376,382,396,406,419,440,456,477,490],{"skillNo":198,"name":199,"nameZh":18,"description":200,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":209,"categories":210,"keywords":211,"publishedAt":229},"01M6DAWD78R6J4QMV9G9R00PHE","tooluniverse-proteomics-analysis","Analyze mass spectrometry proteomics data including protein quantification, differential expression, post-translational modifications (PTMs), and protein-protein interactions. Processes MaxQuant, Spectronaut, DIA-NN, and other MS platform outputs. Performs normalization, statistical analysis, pathway enrichment, and integration with transcriptomics. Use when analyzing proteomics data, comparing protein abundance between conditions, identifying PTM changes, studying protein complexes, integrating protein and RNA data, discovering protein biomarkers, or conducting quantitative proteomics experiments.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-proteomics-analysis\u002FSKILL.md",[],[212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228],"tooluniverse proteomics analysis","analysis","proteomics","mass spectrometry","ms","platform","normalization","use","analyze","statistical analysis","RNA","enrichment","dia","integration","analyzing","data","experiments","2026-11-10 10:12:30",{"skillNo":231,"name":232,"nameZh":18,"description":233,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":234,"categories":235,"keywords":240,"publishedAt":229},"01M6DAWAAVCJ2WHBH6KR1P8QRH","tooluniverse-protein-therapeutic-design","Design novel protein therapeutics (binders, enzymes, scaffolds) using AI-guided de novo design. Uses RFdiffusion for backbone generation, ProteinMPNN for sequence design, ESMFold\u002FAlphaFold2 for validation. Use when asked to design protein binders, therapeutic proteins, or engineer protein function.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-protein-therapeutic-design\u002FSKILL.md",[236,239],{"categoryNo":237,"categoryName":238,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},[241,242,243,244,245,219,246,247],"tooluniverse protein therapeutic design","design","enzymes","proteins","engineer","generation","validation",{"skillNo":249,"name":250,"nameZh":18,"description":251,"descriptionZh":18,"repositoryFullName":252,"ownerLogin":253,"ownerAvatarUrl":254,"ownerAccountNo":255,"ownerDisplayName":18,"repositoryNo":256,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":257,"categories":258,"keywords":259,"publishedAt":229},"01M6DAW9W7MC49WHVBADMHTGEJ","project-direction","Use when deciding what a project should work on next, comparing competing priorities, deriving a milestone from VISION, brainstorming new feature candidates that fit the project's doctrine, judging whether a project's goals and requirements are settled enough to begin authoring specifications, sequencing an approved specification into an execution graph, or deciding what to do about already-confirmed spec drift. Triggers on \"what should we work on next\", \"prioritize features\", \"is this roadmap aligned\", \"what's highest leverage\", \"what's the next milestone\", \"should we build this or Y\", \"are we ready to write specs\", \"break this approved spec down\", \"brainstorm features\", \"what could we build\".","tzeusy-org\u002Fai-bootstrap","tzeusy-org","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F141543652?v=4","01M6DAM1AP09H27BYGFY9QCNPB","01M6DAM1F4R187EK11XDN9JZKH","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-projects\u002Fsubskills\u002Fproject-direction\u002FSKILL.md",[],[260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279],"project","project direction","direction","leverage","ready","openai codex","work on","brainstorm","roadmap","spec drift","drift","specification","milestone","work","next","active","sequencing","when","prioritize features","break",{"skillNo":281,"name":282,"nameZh":18,"description":283,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":284,"categories":285,"keywords":286,"publishedAt":229},"01M6DAW7464GDASJPXHW9423R9","tooluniverse-protein-structure-retrieval","Retrieves protein structure data from RCSB PDB, PDBe, and AlphaFold with protein disambiguation, quality assessment, and comprehensive structural profiles. Creates detailed structure reports with experimental metadata, ligand information, and download links. Use when users need protein structures, 3D models, crystallography data, or mention PDB IDs (4-character codes like 1ABC) or UniProt accessions.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-protein-structure-retrieval\u002FSKILL.md",[],[287,288,289,290,291,292,219,293,294,295,227,296,297,298],"structure","tooluniverse protein structure retrieval","3D","ids","structural","assessment","reports","models","quality","download","character","metadata",{"skillNo":300,"name":301,"nameZh":18,"description":302,"descriptionZh":18,"repositoryFullName":252,"ownerLogin":253,"ownerAvatarUrl":254,"ownerAccountNo":255,"ownerDisplayName":18,"repositoryNo":256,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":303,"categories":304,"keywords":305,"publishedAt":229},"01M6DAW4PKK5DT93EDXD5E7S7Y","th-projects","Use for project-level engineering governance: bootstrap or audit the doctrine\u002Fspec\u002Ftopology\u002Fstandards shape; concretize or amend one feature spec; reconcile specs and implementation both ways (vision-gated specs for undocumented behavior, backlog-deduplicated plan for unbuilt requirements); audit repo health; prioritize work; synthesize milestones; ideate from doctrine; run a recurring vision-pursuit; or accumulate and walk through independently vetted owner decisions. Triggers: \"project shape\", \"bootstrap docs\", \"what should we work on next\", \"should we build this\", \"spec this feature\", \"the spec is wrong\", \"review this project\", \"audit the codebase\", \"does code match the spec\", \"reconcile spec vs implementation\", \"what's the next milestone\", \"brainstorm features\", \"run the vision pursuit\", \"relentlessly improve this project\", \"prepare decisions for me to review\", \"walk me through the blocked decisions\", \"collect owner signoffs\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-projects\u002FSKILL.md",[],[306,307,265,308,260,266,267,309,310,311,312,313,314,315,272,273,316,317,274,318],"projects","th projects","changeset","improve","uv","Bash","synthesize","code","beads","review","me","cli","audit",{"skillNo":320,"name":321,"nameZh":18,"description":322,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":323,"categories":324,"keywords":325,"publishedAt":229},"01M6DAW3K3571F8GEHTXNDHQSR","tooluniverse-protein-structure-prediction","Predict and analyze protein 3D structure from amino acid sequence using ESMFold and AlphaFold. Covers de novo structure prediction (ESMFold for sequences up to ~800 residues), AlphaFold model retrieval, quality assessment (pLDDT scores), experimental structure comparison (RCSB), variant structural impact (ProtVar), and sequence physicochemical property calculation (ProtParam). Use when asked to predict protein structure from sequence, assess structure quality, compare predictions to experimental structures, or evaluate how mutations affect protein structure.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-protein-structure-prediction\u002FSKILL.md",[],[287,326,289,327,291,328,292,219,329,220,330,331,295],"tooluniverse protein structure prediction","model","up","acid","mutations","how",{"skillNo":333,"name":334,"nameZh":18,"description":335,"descriptionZh":18,"repositoryFullName":252,"ownerLogin":253,"ownerAvatarUrl":254,"ownerAccountNo":255,"ownerDisplayName":18,"repositoryNo":256,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":336,"categories":337,"keywords":341,"publishedAt":229},"01M6DAW174GY7SBJHAJDZWX2XZ","test-rigor","Use when judging or improving the quality of tests — whether they assert behavior, cover edge and failure paths, protect against regressions, and stay trustworthy — in a diff, test suite, or review; also suite-level health: tier structure (unit\u002Fcomponent\u002Fintegration), targeted runnability, per-test runtime cost, and growth control. Complements process skills like test-driven-development: this is the bar for what tests are worth, not when to write them.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Ftest-rigor\u002FSKILL.md",[338],{"categoryNo":339,"categoryName":340,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000008","测试与质量",[342,343,344,345,346,347,348,349,219,350,315,351,352,287,353,354,275,355,356,295],"test","test rigor","diff","development","runtime","test suite","tests","edge","growth","health","cost","component","control","process","behavior",{"skillNo":358,"name":359,"nameZh":18,"description":360,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":361,"categories":362,"keywords":363,"publishedAt":229},"01M6DAW0M99TAQ2VN357EYHTQE","tooluniverse-protein-modification-analysis","Analyze post-translational modifications (PTMs) of proteins — modification sites, types, proteoforms, functional effects at PTM sites, and PTM-dependent protein interactions. Integrates iPTMnet, ProtVar, UniProt, and STRING databases. Use when asked about protein phosphorylation, ubiquitination, acetylation, glycosylation, methylation, SUMOylation, or other PTMs; proteoform diversity; PTM-regulated interactions; or functional impact of PTM sites.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-protein-modification-analysis\u002FSKILL.md",[],[364,213,365,244,366,219,220],"tooluniverse protein modification analysis","databases","diversity",{"skillNo":368,"name":369,"nameZh":18,"description":370,"descriptionZh":18,"repositoryFullName":252,"ownerLogin":253,"ownerAvatarUrl":254,"ownerAccountNo":255,"ownerDisplayName":18,"repositoryNo":256,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":371,"categories":372,"keywords":373,"publishedAt":229},"01M6DAVZFZHJT51DDB5SEP3JJY","dup-name","Use when doing b-things.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fskill-standards\u002Ftests\u002Ffixtures\u002Fbroken-superskill\u002Fsubskills\u002Fsub-b\u002FSKILL.md",[],[374,375,219],"dup","dup name",{"skillNo":377,"name":369,"nameZh":18,"description":378,"descriptionZh":18,"repositoryFullName":252,"ownerLogin":253,"ownerAvatarUrl":254,"ownerAccountNo":255,"ownerDisplayName":18,"repositoryNo":256,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":379,"categories":380,"keywords":381,"publishedAt":229},"01M6DAVXAP8A3QH952AY5GRD8H","Use when doing a-things.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fskill-standards\u002Ftests\u002Ffixtures\u002Fbroken-superskill\u002Fsubskills\u002Fsub-a\u002FSKILL.md",[],[374,375,219],{"skillNo":383,"name":384,"nameZh":18,"description":385,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":386,"categories":387,"keywords":388,"publishedAt":229},"01M6DAVWZW00FD57CG2T0W558Y","tooluniverse-precision-oncology","Provide actionable treatment recommendations for cancer patients based on molecular profile. Interprets tumor mutations, identifies FDA-approved therapies, finds resistance mechanisms, matches clinical trials. Use when oncologist asks about treatment options for specific mutations (EGFR, KRAS, BRAF, etc.), therapy resistance, or clinical trial eligibility.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-precision-oncology\u002FSKILL.md",[],[389,390,219,330,391,392,393,394,395],"tooluniverse precision oncology","clinical","options","recommendations","molecular","fda","profile",{"skillNo":397,"name":398,"nameZh":18,"description":399,"descriptionZh":18,"repositoryFullName":252,"ownerLogin":253,"ownerAvatarUrl":254,"ownerAccountNo":255,"ownerDisplayName":18,"repositoryNo":256,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":400,"categories":401,"keywords":402,"publishedAt":229},"01M6DAVVEH963QMY5B4G0EB3QV","broken-superskill","Use when exercising superskill audit checks against fixtures.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fskill-standards\u002Ftests\u002Ffixtures\u002Fbroken-superskill\u002FSKILL.md",[],[403,404,219,318,405],"broken","broken superskill","fixtures",{"skillNo":407,"name":408,"nameZh":18,"description":409,"descriptionZh":18,"repositoryFullName":252,"ownerLogin":253,"ownerAvatarUrl":254,"ownerAccountNo":255,"ownerDisplayName":18,"repositoryNo":256,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":410,"categories":411,"keywords":415,"publishedAt":229},"01M6DAVSBKF1BE22YSAJSNG8PZ","Broken_Skill","TODO fill this in later","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fskill-standards\u002Ftests\u002Ffixtures\u002Fbroken-skill\u002FSKILL.md",[412],{"categoryNo":413,"categoryName":414,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",[403,416,417,418],"broken skill","todo","later",{"skillNo":420,"name":421,"nameZh":18,"description":422,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":423,"categories":424,"keywords":425,"publishedAt":229},"01M6DAVSAGQGGCSEHYWA3QMYQ3","tooluniverse-precision-medicine-stratification","Comprehensive patient stratification for precision medicine by integrating genomic, clinical, and therapeutic data. Given a disease\u002Fcondition, genomic data (germline variants, somatic mutations, expression), and optional clinical parameters, performs multi-phase analysis covering disease disambiguation, genetic risk assessment, disease-specific molecular stratification, pharmacogenomic profiling, comorbidity\u002FDDI risk, pathway analysis, clinical evidence and guideline mapping, clinical trial matching, and integrated outcome prediction. Generates a quantitative Precision Medicine Risk Score (0-100) with risk tier assignment, treatment algorithm, pharmacogenomic guidance, clinical trial matches, and monitoring plan.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-precision-medicine-stratification\u002FSKILL.md",[],[426,427,428,429,292,390,430,213,431,432,433,330,434,435,436,437,438,439,393,227],"tooluniverse precision medicine stratification","evidence","risk","risk score","patient","monitoring plan","monitoring","risk assessment","plan","profiling","somatic","outcome","matching","guidance",{"skillNo":441,"name":442,"nameZh":18,"description":443,"descriptionZh":18,"repositoryFullName":252,"ownerLogin":253,"ownerAvatarUrl":254,"ownerAccountNo":255,"ownerDisplayName":18,"repositoryNo":256,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":444,"categories":445,"keywords":447,"publishedAt":229},"01M6DAVP68SMEX39MAQW6DCB2Z","skill-standards","Use when creating, updating, reviewing, or auditing a skill or superskill and you need a concrete quality bar for triggers, project grounding, metadata, authorship, routing, context efficiency, scripts, and validation.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fskill-standards\u002FSKILL.md",[446],{"categoryNo":413,"categoryName":414,"taxonomyType":58,"taxonomyTypeDesc":59},[448,449,450,265,451,318,260,275,452,295,247,453,310,219,125,454,298,455],"standards","skill standards","routing","codex","run","triggers","context","efficiency",{"skillNo":457,"name":458,"nameZh":18,"description":459,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":460,"categories":461,"keywords":462,"publishedAt":229},"01M6DAVP392EV8QW6Z9172Y2EQ","tooluniverse-population-genetics-1000genomes","Population genetics research using the 1000 Genomes Project (IGSR) -- search populations by superpopulation ancestry (AFR, AMR, EAS, EUR, SAS), retrieve samples by population code, list available data collections, and integrate with GWAS tools for population stratification analysis. Use when users ask about 1000 Genomes populations, sample ancestry, allele frequency variation across continental groups, population-specific GWAS interpretation, or IGSR data collections like the 30x high-coverage resequencing or HGSVC.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-population-genetics-1000genomes\u002FSKILL.md",[],[463,464,465,466,467,260,468,469,219,470,213,313,471,472,473,474,227,475,476],"genetics","tooluniverse population genetics 1000genomes","coverage","populations","interpretation","search","collections","ask","across","sample","research","integrate","list","Tools",{"skillNo":478,"name":479,"nameZh":18,"description":480,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":481,"categories":482,"keywords":483,"publishedAt":229},"01M6DAVJJX8GCBF1SK1ZEJH9MJ","tooluniverse-polygenic-risk-score","Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses disease predisposition across conditions including type 2 diabetes, coronary artery disease, and Alzheimer's disease. Use when asked to calculate polygenic risk scores, interpret genetic risk for complex diseases, build custom PRS from GWAS data, or answer questions like \"What is my genetic predisposition to breast cancer?\"","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-polygenic-risk-score\u002FSKILL.md",[],[428,429,484,219,485,471,486,487,488,227,489],"tooluniverse polygenic risk score","statistics","type","build","summary","calculate",{"skillNo":491,"name":492,"nameZh":18,"description":493,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":494,"categories":495,"keywords":499,"publishedAt":229},"01M6DAVG6BXRSJS5PX41C8QJRB","tooluniverse-plant-genomics","Research plant genes, pathways, and species using PlantReactome, Ensembl Plants, POWO, UniProt, KEGG, and literature tools. Covers plant pathway analysis, gene function annotation, species identification, crop genomics, and comparative plant biology. Use when asked about plant genes, Arabidopsis, crop improvement, plant pathways, plant metabolism, photosynthesis, plant development, or plant species identification.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-plant-genomics\u002FSKILL.md",[496],{"categoryNo":497,"categoryName":498,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000021","资料检索与研究",[500,501,473,345,219,213,476,502],"genomics","tooluniverse plant genomics","metabolism",10592,18]