[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:stats":95,"skills:creators9":100,"skills:all:stars:10597:":195},[4,15,22,29,36,43],{"categoryNo":5,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":8,"categoryNameEn":9,"description":10,"level":11,"skillCount":12,"parentNo":13,"parentName":13,"children":14},"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",1,13265,null,[],{"categoryNo":16,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":17,"categoryNameEn":18,"description":19,"level":11,"skillCount":20,"parentNo":13,"parentName":13,"children":21},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7762,[],{"categoryNo":23,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":24,"categoryNameEn":25,"description":26,"level":11,"skillCount":27,"parentNo":13,"parentName":13,"children":28},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4987,[],{"categoryNo":30,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":31,"categoryNameEn":32,"description":33,"level":11,"skillCount":34,"parentNo":13,"parentName":13,"children":35},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3939,[],{"categoryNo":37,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":38,"categoryNameEn":39,"description":40,"level":11,"skillCount":41,"parentNo":13,"parentName":13,"children":42},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":44,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":45,"categoryNameEn":46,"description":47,"level":11,"skillCount":48,"parentNo":13,"parentName":13,"children":49},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3310,[],[51,60,67,74,81,88],{"categoryNo":52,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":55,"categoryNameEn":56,"description":57,"level":11,"skillCount":58,"parentNo":13,"parentName":13,"children":59},"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",39355,[],{"categoryNo":61,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":62,"categoryNameEn":63,"description":64,"level":11,"skillCount":65,"parentNo":13,"parentName":13,"children":66},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26492,[],{"categoryNo":68,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":69,"categoryNameEn":70,"description":71,"level":11,"skillCount":72,"parentNo":13,"parentName":13,"children":73},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13550,[],{"categoryNo":75,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":76,"categoryNameEn":77,"description":78,"level":11,"skillCount":79,"parentNo":13,"parentName":13,"children":80},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6274,[],{"categoryNo":82,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":83,"categoryNameEn":84,"description":85,"level":11,"skillCount":86,"parentNo":13,"parentName":13,"children":87},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6028,[],{"categoryNo":89,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":90,"categoryNameEn":91,"description":92,"level":11,"skillCount":93,"parentNo":13,"parentName":13,"children":94},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5526,[],{"skillCount":96,"professionCount":97,"scenarioCount":98,"creatorCount":99},196921,11,7,1947,{"records":101,"total":99,"current":11,"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":97,"scenarioCount":98,"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",4147,229,829728,"2026-11-15 04:18:35",{"accountNo":115,"login":116,"displayName":116,"avatarUrl":117,"accountType":107,"accountTypeDesc":108,"profileDescription":118,"skillCount":119,"repoCount":120,"professionCount":98,"scenarioCount":98,"totalStars":121,"updatedAt":122},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437811,"2026-11-15 03:04:02",{"accountNo":124,"login":125,"displayName":126,"avatarUrl":127,"accountType":107,"accountTypeDesc":108,"profileDescription":13,"skillCount":128,"repoCount":129,"professionCount":98,"scenarioCount":130,"totalStars":131,"updatedAt":132},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,344400,"2026-11-15 03:07:28",{"accountNo":134,"login":135,"displayName":136,"avatarUrl":137,"accountType":107,"accountTypeDesc":108,"profileDescription":13,"skillCount":138,"repoCount":139,"professionCount":140,"scenarioCount":98,"totalStars":141,"updatedAt":142},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",419,75,8,298245,"2026-11-15 04:11:16",{"accountNo":144,"login":145,"displayName":146,"avatarUrl":147,"accountType":107,"accountTypeDesc":108,"profileDescription":148,"skillCount":149,"repoCount":150,"professionCount":97,"scenarioCount":98,"totalStars":151,"updatedAt":152},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",528,48,243799,"2026-11-15 03:00:30",{"accountNo":154,"login":155,"displayName":156,"avatarUrl":157,"accountType":107,"accountTypeDesc":108,"profileDescription":158,"skillCount":159,"repoCount":160,"professionCount":97,"scenarioCount":98,"totalStars":161,"updatedAt":162},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",940,28,238891,"2026-11-15 06:45:15",{"accountNo":164,"login":165,"displayName":166,"avatarUrl":167,"accountType":107,"accountTypeDesc":108,"profileDescription":13,"skillCount":168,"repoCount":169,"professionCount":97,"scenarioCount":98,"totalStars":170,"updatedAt":171},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,232724,"2026-11-14 23:30:58",{"accountNo":173,"login":174,"displayName":175,"avatarUrl":176,"accountType":107,"accountTypeDesc":108,"profileDescription":13,"skillCount":177,"repoCount":178,"professionCount":179,"scenarioCount":98,"totalStars":180,"updatedAt":181},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188029,"2026-11-15 06:21:09",{"accountNo":183,"login":184,"displayName":185,"avatarUrl":186,"accountType":187,"accountTypeDesc":188,"profileDescription":189,"skillCount":190,"repoCount":191,"professionCount":130,"scenarioCount":98,"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. ",324,3,175019,"2026-11-15 03:57:03",9,{"records":196,"total":96,"current":522,"size":523},[197,215,236,247,260,284,307,329,342,356,378,399,412,434,449,464,478,499],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":208,"categories":209,"keywords":210,"publishedAt":214},"01M6DAVXAP8A3QH952AY5GRD8H","dup-name","Use when doing a-things.","tzeusy-org\u002Fai-bootstrap","tzeusy-org","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F141543652?v=4","01M6DAM1AP09H27BYGFY9QCNPB","01M6DAM1F4R187EK11XDN9JZKH",0,"MIT","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",[],[211,212,213],"dup","dup name","use","2026-11-10 10:12:30",{"skillNo":216,"name":217,"nameZh":13,"description":218,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":225,"categories":226,"keywords":227,"publishedAt":214},"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.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-precision-oncology\u002FSKILL.md",[],[228,229,213,230,231,232,233,234,235],"tooluniverse precision oncology","profile","fda","mutations","options","molecular","recommendations","clinical",{"skillNo":237,"name":238,"nameZh":13,"description":239,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":240,"categories":241,"keywords":242,"publishedAt":214},"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",[],[243,244,245,213,246],"broken","broken superskill","audit","fixtures",{"skillNo":248,"name":249,"nameZh":13,"description":250,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":251,"categories":252,"keywords":256,"publishedAt":214},"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",[253],{"categoryNo":254,"categoryName":255,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",[243,257,258,259],"broken skill","later","todo",{"skillNo":261,"name":262,"nameZh":13,"description":263,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":264,"categories":265,"keywords":266,"publishedAt":214},"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",[],[267,268,269,270,271,272,273,274,275,276,277,278,279,280,231,281,282,233,235,283],"tooluniverse precision medicine stratification","risk score","monitoring plan","risk assessment","assessment","monitoring","data","risk","analysis","plan","profiling","outcome","evidence","guidance","somatic","matching","patient",{"skillNo":285,"name":286,"nameZh":13,"description":287,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":288,"categories":289,"keywords":291,"publishedAt":214},"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",[290],{"categoryNo":254,"categoryName":255,"taxonomyType":53,"taxonomyTypeDesc":54},[292,293,294,295,296,297,125,298,245,299,300,213,301,302,303,304,305,306],"standards","skill standards","codex","run","routing","validation","metadata","quality","context","uv","active","efficiency","project","openai codex","triggers",{"skillNo":308,"name":309,"nameZh":13,"description":310,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":311,"categories":312,"keywords":313,"publishedAt":214},"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",[],[314,315,316,317,318,319,273,320,275,321,322,323,213,324,325,304,326,327,328],"genetics","tooluniverse population genetics 1000genomes","research","interpretation","code","search","Tools","ask","list","coverage","integrate","across","sample","populations","collections",{"skillNo":330,"name":331,"nameZh":13,"description":332,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":333,"categories":334,"keywords":335,"publishedAt":214},"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",[],[268,274,336,273,337,213,338,339,325,340,341],"tooluniverse polygenic risk score","calculate","build","summary","statistics","type",{"skillNo":343,"name":344,"nameZh":13,"description":345,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":346,"categories":347,"keywords":351,"publishedAt":214},"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",[348],{"categoryNo":349,"categoryName":350,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000021","资料检索与研究",[352,353,316,354,320,275,213,355],"genomics","tooluniverse plant genomics","development","metabolism",{"skillNo":357,"name":358,"nameZh":13,"description":359,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":360,"categories":361,"keywords":362,"publishedAt":214},"01M6DAVEP9MGDBQG054YFSPNBG","greenfield-parity","Use when judging whether a codebase (or a change) carries more complexity than its current spec needs — \"would we build it this way from scratch?\", \"is this over-engineered for what it does\", \"this reads vibe-coded\", \"reconcile the existing complexity against the goal\" — and when an audit that files beads must be re-runnable without duplicating findings already in the backlog. Pre-production codebases where rewrite is on the table are the primary case.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fgreenfield-parity\u002FSKILL.md",[],[363,364,365,366,367,368,245,369,370,371,372,373,213,374,301,375,338,376,377,302],"greenfield parity","review","cli","python","workflow","change","beads","projects","subagent","closeout","dossier","complexity","files","delta","backlog",{"skillNo":379,"name":380,"nameZh":13,"description":381,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":382,"categories":383,"keywords":384,"publishedAt":214},"01M6DAVCRDDK74H4XTYZ74DVSH","tooluniverse-phylogenetics","Production-ready phylogenetics and sequence analysis skill for alignment processing, tree analysis, and evolutionary metrics. Computes treeness, RCV, treeness\u002FRCV, parsimony informative sites, evolutionary rate, DVMC, tree length, alignment gap statistics, GC content, and bootstrap support using PhyKIT, Biopython, and DendroPy. Performs NJ\u002FUPGMA\u002Fparsimony tree construction, Robinson-Foulds distance, Mann-Whitney U tests, and batch analysis across gene families. Integrates with ToolUniverse for sequence retrieval (NCBI, UniProt, Ensembl) and tree annotation. Use when processing FASTA\u002FPHYLIP\u002FNexus\u002FNewick files, computing phylogenetic metrics, comparing taxa groups, or answering questions about alignments, trees, parsimony, or molecular evolution.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-phylogenetics\u002FSKILL.md",[],[385,386,387,388,389,390,391,275,392,213,393,394,395,396,375,325,340,233,397,398],"phylogenetics","tooluniverse phylogenetics","support","bootstrap","batch","Production","biopython","evolution","ready","gc","Nexus","alignment","tests","gap",{"skillNo":400,"name":401,"nameZh":13,"description":402,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":403,"categories":404,"keywords":405,"publishedAt":214},"01M6DAV979F79ET9T7PPZ20V8B","tooluniverse-pharmacovigilance","Analyze drug safety signals from FDA adverse event reports, label warnings, and pharmacogenomic data. Calculates disproportionality measures (PRR, ROR), identifies serious adverse events, assesses pharmacogenomic risk variants. Use when asked about drug safety, adverse events, post-market surveillance, or risk-benefit assessment.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-pharmacovigilance\u002FSKILL.md",[],[406,271,273,274,407,408,213,230,409,410,411],"tooluniverse pharmacovigilance","Safety","analyze","reports","Market","signals",{"skillNo":413,"name":414,"nameZh":13,"description":415,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":416,"categories":417,"keywords":419,"publishedAt":214},"01M6DAV91QV7V7CZ0VVPEZ92D8","excalidraw-diagram","Use when the user wants a workflow, architecture, protocol, concept, or Mermaid diagram converted into or out of Excalidraw, especially when the result should teach through structure, flow, and concrete evidence.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fexcalidraw-diagram\u002FSKILL.md",[418],{"categoryNo":254,"categoryName":255,"taxonomyType":53,"taxonomyTypeDesc":54},[420,421,422,366,367,423,424,425,426,427,428,429,430,213,279,301,431,432,302,433],"excalidraw diagram","diagram","excalidraw","chromium","playwright","architecture","mermaid","browser","first","repo","refresh","mermaid diagram","structure","local",{"skillNo":435,"name":436,"nameZh":13,"description":437,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":438,"categories":439,"keywords":440,"publishedAt":214},"01M6DAV6FQPP1TCE3V66FQNHAK","engineering-bar","Use when implementing or reviewing any non-trivial change and you need the canonical engineering quality bar — default biases, definition of done, and reviewable expectations — or when authoring a project's about\u002Fcraft-and-care pillar that should reference this bar instead of restating it.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fengineering-bar\u002FSKILL.md",[],[441,442,294,443,368,125,299,213,444,445,446,447,302,304,305,448],"engineering","engineering bar","definition of done","reference","default","craft","done","authoring",{"skillNo":450,"name":451,"nameZh":13,"description":452,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":453,"categories":454,"keywords":457,"publishedAt":214},"01M6DAV6A6E112V2E4ZJ1BRHW4","tooluniverse-pharmacogenomics","Guide pharmacogenomics (PGx) research -- drug-gene interaction lookup, CPIC guideline retrieval, variant-drug annotation, allele function status, FDA biomarker labeling, and clinical dosing recommendations. Covers the full CPIC-to-PharmGKB-to-clinical-recommendation workflow. Use when users ask about pharmacogenomics, drug-gene interactions, CPIC guidelines, genotype-guided dosing, PGx biomarkers, CYP enzyme phenotypes, or star allele interpretation.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-pharmacogenomics\u002FSKILL.md",[455,456],{"categoryNo":349,"categoryName":350,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":254,"categoryName":255,"taxonomyType":53,"taxonomyTypeDesc":54},[458,316,367,459,317,460,461,321,462,213,230,463,234,235],"tooluniverse pharmacogenomics","status","guidelines","lookup","guide","full",{"skillNo":465,"name":466,"nameZh":13,"description":467,"descriptionZh":13,"repositoryFullName":219,"ownerLogin":220,"ownerAvatarUrl":221,"ownerAccountNo":222,"ownerDisplayName":223,"repositoryNo":224,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":468,"categories":469,"keywords":470,"publishedAt":214},"01M6DAV3DH5EGAYSXDYRDFA6P8","tooluniverse-pathway-disease-genetics","Connect GWAS variants to biological pathways for drug target discovery. Maps disease-associated SNPs to causal genes via eQTL colocalization (GTEx), links genes to enriched pathways (Reactome, KEGG, MetaCyc), and identifies druggable targets within disease-relevant pathways. Use when asked to translate GWAS findings into mechanistic insights, find pathways enriched for disease genes, discover drug targets from genetic evidence, or answer questions like \"What pathways are disrupted in type 2 diabetes based on GWAS data?\"","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-pathway-disease-genetics\u002FSKILL.md",[],[314,471,472,473,273,474,475,213,279,476,477,341],"tooluniverse pathway disease genetics","translate","connect","discovery","find","maps","discover",{"skillNo":479,"name":480,"nameZh":13,"description":481,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":482,"categories":483,"keywords":485,"publishedAt":214},"01M6DAV3CX14R6Z752BZMMEF5Y","documentation","Use when creating, reviewing, or auditing a codebase's documentation — README and docs\u002F trees, architecture\u002Fworkflow diagrams, API references, formal doc sites (OpenAPI, MkDocs, Sphinx, ReadTheDocs) — and you need the bar for accessibility (concise synthesis, diagrams where structure beats prose) and accuracy over time (code-cited facts under an explicit maintenance contract).","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fdocumentation\u002FSKILL.md",[484],{"categoryNo":254,"categoryName":255,"taxonomyType":53,"taxonomyTypeDesc":54},[480,486,367,487,425,318,488,489,490,491,213,492,493,494,495,496,432,497,302,498],"docs","accessibility","doc","openapi","api","README","maintenance","diagrams","mkdocs","references","prose","time","contract",{"skillNo":500,"name":501,"nameZh":13,"description":502,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":13,"sourceHtmlUrl":503,"categories":504,"keywords":505,"publishedAt":214},"01M6DAV0A7GZPG3FGMWAAKM2EN","diagnosis","Use when diagnosing a hard bug, intermittent\u002Fflaky failure, or performance regression and you need the evidence bar for the diagnosis itself — a repeatable feedback loop, ranked falsifiable hypotheses before instrumentation, tagged debug logging that gets cleaned up, and a regression test at the correct seam. Complements process skills like systematic-debugging: this is the bar for what counts as a verified root cause, not a debugging walkthrough.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fdiagnosis\u002FSKILL.md",[],[501,506,507,508,509,510,511,512,513,514,515,213,516,279,517,518,519,302,520,521],"performance","test","debug","debugging","walkthrough","loop","correct","regression","feedback","process","regression test","up","bug","instrumentation","systematic","as",10597,18]