[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:10595:":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",1,13274,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",7775,[],{"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",4988,[],{"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",3940,[],{"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",3316,[],[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",39458,[],{"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",26531,[],{"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",13569,[],{"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",6289,[],{"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",6029,[],{"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",5531,[],{"records":96,"total":191,"current":11,"size":192},[97,111,120,130,140,150,160,169,179],{"accountNo":98,"login":99,"displayName":100,"avatarUrl":101,"accountType":102,"accountTypeDesc":103,"profileDescription":104,"skillCount":105,"repoCount":106,"professionCount":107,"scenarioCount":108,"totalStars":109,"updatedAt":110},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4160,229,11,7,828772,"2026-11-13 04:10:52",{"accountNo":112,"login":113,"displayName":113,"avatarUrl":114,"accountType":102,"accountTypeDesc":103,"profileDescription":115,"skillCount":116,"repoCount":117,"professionCount":108,"scenarioCount":108,"totalStars":118,"updatedAt":119},"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":121,"login":122,"displayName":123,"avatarUrl":124,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":125,"repoCount":126,"professionCount":108,"scenarioCount":127,"totalStars":128,"updatedAt":129},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,342695,"2026-11-13 04:03:41",{"accountNo":131,"login":132,"displayName":133,"avatarUrl":134,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":135,"repoCount":136,"professionCount":137,"scenarioCount":108,"totalStars":138,"updatedAt":139},"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":141,"login":142,"displayName":143,"avatarUrl":144,"accountType":102,"accountTypeDesc":103,"profileDescription":145,"skillCount":146,"repoCount":147,"professionCount":107,"scenarioCount":108,"totalStars":148,"updatedAt":149},"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":151,"login":152,"displayName":153,"avatarUrl":154,"accountType":102,"accountTypeDesc":103,"profileDescription":155,"skillCount":156,"repoCount":157,"professionCount":107,"scenarioCount":108,"totalStars":158,"updatedAt":159},"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":161,"login":162,"displayName":163,"avatarUrl":164,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":165,"repoCount":166,"professionCount":107,"scenarioCount":108,"totalStars":167,"updatedAt":168},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,231826,"2026-11-13 04:18:26",{"accountNo":170,"login":171,"displayName":172,"avatarUrl":173,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":174,"repoCount":175,"professionCount":176,"scenarioCount":108,"totalStars":177,"updatedAt":178},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188014,"2026-11-13 02:38:59",{"accountNo":180,"login":181,"displayName":182,"avatarUrl":183,"accountType":184,"accountTypeDesc":185,"profileDescription":186,"skillCount":187,"repoCount":188,"professionCount":127,"scenarioCount":108,"totalStars":189,"updatedAt":190},"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",1926,9,{"skillCount":194,"professionCount":107,"scenarioCount":108,"creatorCount":191},196852,{"records":196,"total":194,"current":547,"size":548},[197,227,250,276,296,311,335,359,379,401,416,429,451,478,495,506,517,532],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":209,"categories":210,"keywords":211,"publishedAt":226},"01M6DASHRF0E3PNWW8S9KKPJX7","tooluniverse-install-skills","Detect and auto-install missing ToolUniverse research skills by checking common client skill directories and cloning from GitHub if absent. Use when ToolUniverse specialized skills are not installed, when setting up a new project, or when the tooluniverse router skill needs to bootstrap its sub-skills before routing.","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-install-skills\u002FSKILL.md",[],[212,213,214,215,216,152,217,218,219,220,221,222,223,224,225],"install","tooluniverse install skills","router","routing","research","project","cloning","up","auto","use","bootstrap","specialized","common","new project","2026-11-10 10:12:30",{"skillNo":228,"name":229,"nameZh":13,"description":230,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":236,"categories":237,"keywords":238,"publishedAt":226},"01M6DASGMFGF078TM34HQGNH95","blogpost-editor","Deep editorial review for publication readiness — narrative, structure, scannability, factual risk, tone, and reader usefulness. No silent rewrites.","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-blogpost\u002Fsubskills\u002Fblogpost-editor\u002FSKILL.md",[],[239,240,241,242,243,244,245,246,247,248,249],"blogpost editor","editor","deep","risk","tone","review","structure","readiness","editorial review","active","reader",{"skillNo":251,"name":252,"nameZh":13,"description":253,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":254,"categories":255,"keywords":256,"publishedAt":226},"01M6DASEK2KD1ZNCBK4505T9YW","tooluniverse-inorganic-physical-chemistry","Inorganic chemistry, physical chemistry, and materials science — crystal structures, coordination chemistry, bonding theory (covalency, orbital mixing), symmetry\u002Fpoint groups, thermodynamics, kinetics, spectroscopy interpretation, noble gas compounds, lanthanide\u002Factinide chemistry. Use for questions about crystal systems, unit cells, density calculations, metal complexes, solid-state chemistry, or physical chemistry calculations.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-inorganic-physical-chemistry\u002FSKILL.md",[],[257,258,259,260,261,262,263,264,265,221,266,267,268,269,270,271,272,273,274,275],"tooluniverse inorganic physical chemistry","inorganic","physical","physical chemistry","gas","interpretation","solid-state","Materials Science","science","coordination","state","inorganic chemistry","metal","systems","solid","crystal","thermodynamics","kinetics","spectroscopy",{"skillNo":277,"name":278,"nameZh":13,"description":279,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":280,"categories":281,"keywords":282,"publishedAt":226},"01M6DASCQSHSBG8SCT8TENH74Z","th-blogpost","Use for any work on a blog post — deep editorial review for publication readiness (narrative, structure, scannability, factual risk, tone) or mechanical publish-hardening (frontmatter normalization, MD\u002FMDX safety fixes, structural scaffolding, asset hygiene). Triggers: \"review my blog post\", \"edit this post\", \"is this post ready to publish\", \"format this post for the blog\", \"fix the frontmatter\", \"make this MDX build\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-blogpost\u002FSKILL.md",[],[283,241,284,285,242,286,287,288,289,290,291,292,221,243,244,293,245,294,246,295],"th blogpost","ready","blog post","normalization","scaffolding","work on","structural","fix","triggers","mechanical","publish","work","blog",{"skillNo":297,"name":298,"nameZh":13,"description":299,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":300,"categories":301,"keywords":302,"publishedAt":226},"01M6DASBCKE18Q739MTMY12FEN","tooluniverse-infectious-disease","Rapid pathogen characterization and drug repurposing analysis for infectious disease outbreaks. Identifies pathogen taxonomy, essential proteins, predicts structures, and screens existing drugs via docking. Use when facing novel pathogens, emerging infections, or needing rapid therapeutic options during outbreaks.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-infectious-disease\u002FSKILL.md",[],[303,304,305,306,307,221,308,309,310],"tooluniverse infectious disease","proteins","essential","docking","taxonomy","analysis","pathogens","options",{"skillNo":312,"name":313,"nameZh":13,"description":314,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":315,"categories":316,"keywords":317,"publishedAt":226},"01M6DAS9HMBZXR1XMBWNQQS9S1","beads-writer","Use when creating or decomposing Beads issues for a project backlog, including new features, bugs, epics, backlog grooming, or converting vague asks into actionable Beads work in a Beads-backed repository.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fbeads-orchestration\u002Fsubskills\u002Fbeads-writer\u002FSKILL.md",[],[318,319,320,294,321,322,217,323,324,221,325,326,327,328,329,330,331,332,333,334],"writer","beads writer","beads","openai codex","codex","backlog","issues","creating issues","bugs","for","actionable","inspect","when","vague","can","backlog grooming","with",{"skillNo":336,"name":337,"nameZh":13,"description":338,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":339,"categories":340,"keywords":341,"publishedAt":226},"01M6DAS7AZZ28M8383CAAPM2QF","tooluniverse-immunotherapy-response-prediction","Predict patient response to immune checkpoint inhibitors (ICIs) using multi-biomarker integration. Given a cancer type, somatic mutations, and optional biomarkers (TMB, PD-L1, MSI status), performs systematic analysis across 11 phases covering TMB classification, neoantigen burden estimation, MSI\u002FMMR assessment, PD-L1 evaluation, immune microenvironment profiling, mutation-based resistance\u002Fsensitivity prediction, clinical evidence retrieval, and multi-biomarker score integration. Generates a quantitative ICI Response Score (0-100), response likelihood tier, specific ICI drug recommendations with evidence, resistance risk factors, and a monitoring plan. Use when oncologists ask about immunotherapy eligibility, checkpoint inhibitor selection, or biomarker-guided ICI treatment decisions.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-immunotherapy-response-prediction\u002FSKILL.md",[],[342,343,242,344,345,346,347,348,349,350,351,352,353,354,221,355,356,308,357,358],"tooluniverse immunotherapy response prediction","evidence","checkpoint","pd","sensitivity","selection","classification","assessment","clinical","Immune","estimation","patient","mutation","decisions","ask","monitoring plan","monitoring",{"skillNo":360,"name":361,"nameZh":13,"description":362,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":363,"categories":364,"keywords":365,"publishedAt":226},"01M6DAS653YFZRJ7SCHZ62J44N","beads-worker","Use when implementing one cohesive Beads delivery package in a dedicated worker worktree after a coordinator or operator provides ISSUE_ID and WORKTREE_PATH.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fbeads-orchestration\u002Fsubskills\u002Fbeads-worker\u002FSKILL.md",[],[366,367,320,321,368,369,370,371,221,372,373,374,322,375,327,376,377,378,330,334],"beads worker","worker","python3","push","pr","gh","access","git worktrees","id","cohesive","implementing","coordinator","package",{"skillNo":380,"name":381,"nameZh":13,"description":382,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":383,"categories":384,"keywords":388,"publishedAt":226},"01M6DAS3S7HM9ANW273W9ARNES","tooluniverse-immunology","Immunology research workflows using ToolUniverse tools. Covers antibody-antigen structural analysis (SAbDab, TheraSAbDab), immune protein interactions (IntAct, BioGRID), epitope and T-cell\u002FB-cell assay data (IEDB), immunoglobulin gene databases (IMGT), cytokine\u002Freceptor signaling (OpenTargets, GWAS), clinical safety data for immune diseases (FAERS, clinical trials), autoimmune disease genetics (Orphanet), and immune pathway analysis (KEGG, Reactome). Use when researchers ask about antibody targets, immune signaling networks, autoimmune genetics, immunotherapy safety, epitope discovery, or immune pathway enrichment.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-immunology\u002FSKILL.md",[385],{"categoryNo":386,"categoryName":387,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000021","资料检索与研究",[389,390,391,392,289,393,350,351,221,394,356,308,216,395,396,397,398,399,400],"tooluniverse immunology","databases","discovery","networks","genetics","workflows","enrichment","Safety","data","cell","signaling","Tools",{"skillNo":402,"name":403,"nameZh":13,"description":404,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":405,"categories":406,"keywords":407,"publishedAt":226},"01M6DAS1YTEDXBYRGS8J48MCAV","beads-pr-reviewer-worker","Use when a coordinator dispatches a dedicated `pr-review-task` bead for an open GitHub PR that needs review follow-up, thread triage, merge assessment, or retry handling in an isolated worktree.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fbeads-orchestration\u002Fsubskills\u002Fbeads-pr-reviewer-worker\u002FSKILL.md",[],[370,408,409,367,320,410,321,219,349,411,372,373,244,412,377,413,248,414,415,330],"beads pr reviewer worker","pr reviewer","reviewer","open","retry","worktree","merge","worktrees",{"skillNo":417,"name":418,"nameZh":13,"description":419,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":420,"categories":421,"keywords":422,"publishedAt":226},"01M6DARZMSZGR2SFP41S9V1ER3","tooluniverse-immune-repertoire-analysis","Comprehensive immune repertoire analysis for T-cell and B-cell receptor sequencing data. Analyze TCR\u002FBCR repertoires to assess clonality, diversity, V(D)J gene usage, CDR3 characteristics, convergence, and predict epitope specificity. Integrate with single-cell data for clonotype-phenotype associations. Use for adaptive immune response profiling, cancer immunotherapy research, vaccine response assessment, autoimmune disease studies, or repertoire diversity analysis in immunology research.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-immune-repertoire-analysis\u002FSKILL.md",[],[423,351,308,424,349,221,425,426,216,427,428,397,398],"tooluniverse immune repertoire analysis","diversity","analyze","immune response","profiling","integrate",{"skillNo":430,"name":431,"nameZh":13,"description":432,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":433,"categories":434,"keywords":438,"publishedAt":226},"01M6DARXY7PZKXBTPXMC6RK8TD","beads-looper","Use when a persistent session should own a bounded Beads outcome end to end, implementing cohesive packages, testing, diagnosing failures, correcting review findings and landing or explicitly handing off. Also use for an independent review session serving those owners, including self-paced Claude \u002Floop or Codex continuation without a central coordinator.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fbeads-orchestration\u002Fsubskills\u002Fbeads-looper\u002FSKILL.md",[435],{"categoryNo":436,"categoryName":437,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000008","测试与质量",[439,320,440,368,441,442,443,371,444,221,445,446,375,327,447,448,449,450,376,377],"beads looper","as","verifier","session","claim","uv","loop","continuation","review findings","end","landing","testing",{"skillNo":452,"name":453,"nameZh":13,"description":454,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":455,"categories":456,"keywords":461,"publishedAt":226},"01M6DARVB7XNWZ13WEB69SPYYD","tooluniverse-image-analysis","Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of imaging-derived measurements. Processes ImageJ\u002FCellProfiler output (area, circularity, intensity, cell counts), performs Dunnett's test, Cohen's d effect size, power analysis, Shapiro-Wilk normality tests, two-way ANOVA, polynomial regression, natural spline regression with confidence intervals, and comparative morphometry. Supports CSV\u002FTSV measurement tables, multi-channel fluorescence data, colony swarming assays, and neuron counting datasets. Use when analyzing microscopy measurement data, colony area\u002Fcircularity, cell count statistics, swarming assays, co-culture ratio optimization, or answering questions about imaging-derived quantitative data.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-image-analysis\u002FSKILL.md",[457,458],{"categoryNo":436,"categoryName":437,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":459,"categoryName":460,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000016","图像与多媒体",[462,463,308,284,464,465,466,467,468,469,221,470,471,472,473,474,475,476,477,397],"tooluniverse image analysis","image","effect","power","regression","Optimization","culture","tests","statistics","ANOVA","csv","test","confidence intervals","statistical analysis","datasets","analyzing",{"skillNo":479,"name":480,"nameZh":13,"description":481,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":482,"categories":483,"keywords":484,"publishedAt":226},"01M6DARSDSZF1TRFB94ENF2SNP","beads-coordinator","Coordinate unattended Beads issue execution — rank ready work finish-first (epics closest to done before new ones), claim atomically, and allocate cohesive delivery packages to persistent outcome owners, alone or as one of several coordinators sharing a backlog. Use for unattended issue throughput in Beads-backed repos.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fbeads-orchestration\u002Fsubskills\u002Fbeads-coordinator\u002FSKILL.md",[],[485,320,377,486,284,321,443,444,372,487,294,488,489,413,490,248,491,492,493,494],"beads coordinator","coordinate","done","git worktree","packages","support","outcome","delivery","repository","repos",{"skillNo":496,"name":497,"nameZh":13,"description":498,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":499,"categories":500,"keywords":501,"publishedAt":226},"01M6DARR6YK6XS0C9FC0Q8G4Y7","tooluniverse-hla-immunogenomics","Analyze HLA genes, MHC binding, epitope-MHC associations, and immunogenomics for transplant compatibility, vaccine design, and immunotherapy. Integrates IMGT, IEDB, BVBRC, UniProt, and DGIdb. Use for HLA typing interpretation, antigen presentation analysis, MHC restriction, neoantigen prediction context, and transplant immunology.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-hla-immunogenomics\u002FSKILL.md",[],[502,262,503,221,308,504,505,425],"tooluniverse hla immunogenomics","design","compatibility","context",{"skillNo":507,"name":508,"nameZh":13,"description":509,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":510,"categories":511,"keywords":512,"publishedAt":226},"01M6DARNRX246SC9PYK9EVHPMX","beads-cleanup","Use when a Beads coordinator needs to reconcile stale worker state, PR-review bookkeeping, or orphaned worktrees before dispatching new work.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fbeads-orchestration\u002Fsubskills\u002Fbeads-cleanup\u002FSKILL.md",[],[513,514,320,515,321,370,367,516,371,221,372,244,267,294,488,322,152,413,490,248],"beads cleanup","cleanup","reconciliation","only",{"skillNo":518,"name":519,"nameZh":13,"description":520,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":521,"categories":522,"keywords":523,"publishedAt":226},"01M6DARN8Z2JZ8RHFY7T8ATPT4","tooluniverse-gwas-trait-to-gene","Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses druggability. Use when asked to find genes associated with a disease or trait, discover genetic risk factors, translate GWAS signals to gene targets, or answer questions like \"What genes are associated with type 2 diabetes?\"","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-gwas-trait-to-gene\u002FSKILL.md",[],[524,242,525,526,527,393,411,221,528,529,530,531,397],"tooluniverse gwas trait to gene","discover","translate","catalog","scoring","type","signals","find",{"skillNo":533,"name":534,"nameZh":13,"description":535,"descriptionZh":13,"repositoryFullName":231,"ownerLogin":232,"ownerAvatarUrl":233,"ownerAccountNo":234,"ownerDisplayName":13,"repositoryNo":235,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":536,"categories":537,"keywords":538,"publishedAt":226},"01M6DARJ7CHSR44491W6D6PCEP","beads-orchestration","Use for any Beads (`bd`) issue workflow in a Beads-backed repository — coordinating unattended execution of ready issues through long-lived worker lanes (finishing started epics first, alone or with several coordinators on one backlog), running a self-paced coordinator-free lane under `\u002Floop` (one of several tmux panes), implementing a cohesive delivery package in a worktree, handling PR-review follow-up tasks, reconciling stale worker\u002FPR\u002Fworktree state, or creating and decomposing backlog issues. Route to exactly one subskill per task.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fbeads-orchestration\u002FSKILL.md",[],[539,540,320,284,321,219,324,367,444,445,541,542,376,377,543,544,244,545,546,488],"beads orchestration","orchestration","free","workflow","tasks","issue workflow","self","route",10595,18]