[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:10589:":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":534,"size":535},[197,226,254,271,284,297,311,324,344,363,388,407,430,452,470,482,502,513],{"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":225},"01M6DAZ59K79V6E80S1RBNZ5WV","tooluniverse-variant-to-mechanism","End-to-end variant-to-mechanism analysis: given a genetic variant (rsID or coordinates), trace its functional impact from regulatory context (GWAS, eQTL, RegulomeDB, ENCODE) through target gene identification (GTEx, OpenTargets L2G) to downstream pathway and disease biology (STRING, Reactome, GO enrichment, disease associations). Produces an evidence-graded mechanistic narrative linking genotype to phenotype. Use when asked \"how does this variant cause disease?\", \"what is the mechanism of rs7903146?\", \"trace variant to pathway\", or \"connect this GWAS hit to biology\".","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-variant-to-mechanism\u002FSKILL.md",[],[212,213,214,215,216,217,218,219,220,221,222,223,224],"tooluniverse variant to mechanism","go","connect","enrichment","analysis","how","trace","context","use","regulatory","evidence","coordinates","end","2026-11-10 10:12:30",{"skillNo":227,"name":228,"nameZh":18,"description":229,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":235,"categories":236,"keywords":237,"publishedAt":225},"01M6DAZ4ER76ADXJ9KRFP7V3Q9","finishing-a-development-branch","Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup","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-workflow\u002Fsubskills\u002Ffinishing-a-development-branch\u002FSKILL.md",[],[238,239,240,241,242,243,217,244,245,220,246,247,248,249,250,251,252,253],"finishing a development branch","development","branch","merge","pr","cleanup","work","decide","integrate","superpowers","implementation","options","upstream","active","structured","tests",{"skillNo":255,"name":256,"nameZh":18,"description":257,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":258,"categories":259,"keywords":260,"publishedAt":225},"01M6DAZ1W9A8N4Z98YJ3QB5VR1","tooluniverse-variant-interpretation","Systematic clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Aggregates evidence from ClinVar, gnomAD, CIViC, UniProt, and PDB across ACMG criteria. Produces pathogenicity scores (0-100), clinical recommendations, and treatment implications. Use when interpreting genetic variants, classifying variants of uncertain significance (VUS), performing ACMG variant classification, or translating variant calls to clinical actionability.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-variant-interpretation\u002FSKILL.md",[],[261,262,216,263,220,222,264,265,266,267,268,269,270],"interpretation","tooluniverse variant interpretation","classification","impact analysis","aggregates","across","structural","recommendations","clinical","systematic",{"skillNo":272,"name":273,"nameZh":18,"description":274,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":275,"categories":276,"keywords":277,"publishedAt":225},"01M6DAYZFWWW2YPKP89QNQR96H","executing-plans","Use when you have a written implementation plan to execute in a separate session with review checkpoints","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-workflow\u002Fsubskills\u002Fexecuting-plans\u002FSKILL.md",[],[278,279,280,281,282,283,220,247,248,250,251],"executing plans","plans","review","plan","execute","session",{"skillNo":285,"name":286,"nameZh":18,"description":287,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":288,"categories":289,"keywords":290,"publishedAt":225},"01M6DAYYAE1J0QKK65T6AMNSSA","tooluniverse-variant-functional-annotation","Comprehensive functional annotation of protein variants — pathogenicity, population frequency, structural context, and clinical significance. Integrates ProtVar (map_variant, get_function, get_population) for protein-level mapping and structural context, ClinVar for clinical classifications, gnomAD for population frequency with ancestry data, CADD for deleteriousness scores, and ClinGen for gene-disease validity. Produces a structured variant annotation report with evidence grading. Use when asked about protein variant impact, missense variant pathogenicity, ProtVar annotation, variant functional context, or combining population and structural evidence for a variant.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-variant-functional-annotation\u002FSKILL.md",[],[291,292,293,219,220,222,294,295,252,296,267,269],"tooluniverse variant functional annotation","report","data","map","grading","get",{"skillNo":298,"name":299,"nameZh":18,"description":300,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":301,"categories":302,"keywords":303,"publishedAt":225},"01M6DAYWM2YQHYCK7C35K1D29J","dispatching-parallel-agents","Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-workflow\u002Fsubskills\u002Fdispatching-parallel-agents\u002FSKILL.md",[],[304,305,306,307,308,220,247,250,309,251,310],"dispatching parallel agents","parallel agents","parallel","tasks","state","dependencies","shared",{"skillNo":312,"name":313,"nameZh":18,"description":314,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":315,"categories":316,"keywords":317,"publishedAt":225},"01M6DAYTM5A1FES1KZE2HCEEPR","tooluniverse-variant-analysis","Use when parsing VCF files, filtering variants, annotating mutation consequences, or interpreting SNVs, indels, CNVs, and structural variants.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-variant-analysis\u002FSKILL.md",[],[216,318,319,320,321,220,322,323,267],"variant analysis","tooluniverse variant analysis","parsing","filtering","files","mutation",{"skillNo":325,"name":326,"nameZh":18,"description":327,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":328,"categories":329,"keywords":333,"publishedAt":225},"01M6DAYS2A0RN688GYXBB4JRWF","brainstorming","Use before creative work — creating features, building components, adding functionality, or modifying behavior — to explore user intent, requirements, and design before implementation. One question at a time; 2–3 approaches; design validated in sections.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-workflow\u002Fsubskills\u002Fbrainstorming\u002FSKILL.md",[330],{"categoryNo":331,"categoryName":332,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000015","视觉设计",[326,334,335,336,244,337,338,339,220,247,340,248,341,250,342,251,343],"design","components","explore","question","behavior","user","creative","intent","time","requirements",{"skillNo":345,"name":346,"nameZh":18,"description":347,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":348,"categories":349,"keywords":352,"publishedAt":225},"01M6DAYQD3AJ3PRRETR5QZ18X7","tooluniverse-vaccine-design","Design and evaluate vaccine candidates using computational immunology tools. Covers epitope prediction (MHC-I\u002FII binding via IEDB), population coverage analysis, antigen selection, adjuvant matching, and immunogenicity assessment. Integrates IEDB for epitope prediction, UniProt for antigen sequences, PDB\u002FAlphaFold for structural epitopes, BVBRC for pathogen proteomes, and literature for clinical precedent. Use when asked about vaccine design, epitope prediction, immunogenicity, MHC binding, T-cell epitopes, B-cell epitopes, or population coverage for vaccine candidates.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-vaccine-design\u002FSKILL.md",[350,351],{"categoryNo":331,"categoryName":332,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},[334,353,354,355,356,216,357,358,220,359,360,361,362,267,269],"tooluniverse vaccine design","coverage analysis","assessment","Tools","precedent","coverage","selection","cell","computational","matching",{"skillNo":364,"name":365,"nameZh":18,"description":366,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":367,"categories":368,"keywords":375,"publishedAt":225},"01M6DAYNQZE8QC7JD6FJX9DZ7H","th-workflow","Use for the day-to-day development workflow around a change, idea to merged branch: brainstorming intent and design before building or modifying a feature; executing a written implementation plan in checkpointed batches; dispatching parallel subagents for independent problems; requesting a code review before merge; verifying review feedback before acting on it; finishing a branch (merge, PR, keep, discard). Triggers: \"brainstorm this feature\", \"design before building\", \"execute this plan\", \"these failures look independent\", \"request a review\", \"the reviewer says\", \"merge or PR?\", \"clean up this branch\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-workflow\u002FSKILL.md",[369,372],{"categoryNo":370,"categoryName":371,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":373,"categoryName":374,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",[376,377,378,334,242,239,379,380,306,381,240,382,220,383,247,384,385,250,386,387],"workflow","th workflow","code review","code","feedback","brainstorm","before building","up","development workflow","clean","feature","triggers",{"skillNo":389,"name":390,"nameZh":18,"description":391,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":392,"categories":393,"keywords":394,"publishedAt":225},"01M6DAYKDN1QCZGBTV4MJ90RM2","tooluniverse-toxicology","Assess chemical and drug toxicity via adverse outcome pathways, real-world adverse event signals, and toxicogenomic evidence. Integrates AOPWiki (AOPWiki_list_aops, AOPWiki_get_aop) for mechanism- level pathway tracing, FAERS for post-market adverse event quantification, OpenFDA for label mining, and CTD for chemical-gene-disease evidence. Produces structured toxicity reports with evidence grading (T1-T4). Use when asked about toxicity mechanisms, adverse outcome pathways, AOP mapping, FAERS signal detection, or chemical-disease relationships for drugs or environmental chemicals.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-toxicology\u002FSKILL.md",[],[395,396,397,398,399,220,222,400,401,402,403,404,295,252,296,405,406],"tooluniverse toxicology","tracing","detection","list","outcome","reports","Market","world","relationships","signals","chemical","environmental",{"skillNo":408,"name":409,"nameZh":18,"description":410,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":411,"categories":412,"keywords":414,"publishedAt":225},"01M6DAYHCYCVHZ4QN5ZWZ5WRBB","user-run-scripts","Use whenever a task needs something the agent's own sandbox cannot do — an interactive sudo\u002Froot password, another TTY prompt, an action blocked by sandbox or permission policy, or any manual out-of-band step (e.g. a 2FA code) — by handing the user a script to run themselves and reading its output back from disk instead of a copy\u002Fpaste round-trip. Not for commands the agent can already run itself. Triggers: \"I need sudo for this\", \"this needs your password\", \"run this yourself\", \"needs an interactive terminal\", \"sandbox won't let me do X\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-tooling\u002Fsubskills\u002Fuser-run-scripts\u002FSKILL.md",[413],{"categoryNo":373,"categoryName":374,"taxonomyType":58,"taxonomyTypeDesc":59},[415,339,416,417,418,419,379,420,421,422,423,424,220,425,426,427,428,251,429,387],"run","user run scripts","linux","sandbox","policy","disk","Bash","password","prompt","interactive","do","task","back","me","tee",{"skillNo":431,"name":432,"nameZh":18,"description":433,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":434,"categories":435,"keywords":439,"publishedAt":225},"01M6DAYF3K63GXSZ9P58K14EQX","tooluniverse-target-research","Gather comprehensive biological target intelligence from 9 parallel research paths covering protein info, structure, interactions, pathways, expression, variants, drug interactions, and literature. Features collision-aware searches, evidence grading (T1-T4), explicit Open Targets coverage, and mandatory completeness auditing. Use when users ask about drug targets, proteins, genes, or need target validation, druggability assessment, or comprehensive target profiling.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-target-research\u002FSKILL.md",[436],{"categoryNo":437,"categoryName":438,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000021","资料检索与研究",[440,441,355,442,443,306,444,445,358,220,446,222,447,448,449,450,295,451],"research","tooluniverse target research","validation","open","profiling","ask","target profiling","intelligence","info","structure","target intelligence","proteins",{"skillNo":453,"name":454,"nameZh":18,"description":455,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":456,"categories":457,"keywords":458,"publishedAt":225},"01M6DAYDN67Z2XCAFSVEPVRXMC","transcript-retention","Use to manage the disk footprint of AI-tool session state — Claude Code transcripts (~\u002F.claude\u002Fprojects), Codex rollouts (~\u002F.codex\u002Fsessions), shell snapshots, logs, and sqlite WAL files — by reporting usage and applying an age-based compress\u002Fdelete policy. Triggers: \"how big is my session history\", \"clean up old transcripts\", \"codex sessions are eating disk\", \"transcript retention\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-tooling\u002Fsubskills\u002Ftranscript-retention\u002FSKILL.md",[],[459,460,417,419,461,379,462,463,464,283,220,383,465,466,322,467,385,387,468,469],"transcript","transcript retention","sessions","projects","tool","history","snapshots","rollouts","manage","age","gzip",{"skillNo":471,"name":472,"nameZh":18,"description":473,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":474,"categories":475,"keywords":476,"publishedAt":225},"01M6DAYBJ7D6WMQD0RXY7529XQ","tooluniverse-systems-biology","Comprehensive systems biology and pathway analysis using multiple pathway databases (Reactome, KEGG, WikiPathways, Pathway Commons, BioModels). Performs pathway enrichment, protein-pathway mapping, keyword searches, and systems-level analysis. Use when analyzing gene sets, exploring biological pathways, or investigating systems-level biology.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-systems-biology\u002FSKILL.md",[],[477,478,479,480,215,216,220,481],"systems biology","systems","tooluniverse systems biology","analyzing","databases",{"skillNo":483,"name":484,"nameZh":18,"description":485,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":486,"categories":487,"keywords":488,"publishedAt":225},"01M6DAYA2SHVW8K5PS8C4KAJ6M","refresh-snapshots","Use to re-run the harness's snapshot\u002Fmirror flows so installed state matches version-controlled source — skill symlinks into ~\u002F.claude, ~\u002F.codex, ~\u002F.gemini tool homes, git submodule pointers, and shell plugin checkouts. Use after restructuring skills, when links look stale or broken, or on a periodic freshness pass. Triggers: \"refresh snapshots\", \"relink skills\", \"update submodules\", \"my installed skills are stale\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-tooling\u002Fsubskills\u002Frefresh-snapshots\u002FSKILL.md",[],[489,465,490,491,492,493,494,415,495,308,496,497,498,463,499,220,500,501,251,387],"refresh","refresh snapshots","gemini","codex","plugin","bootstrap","update","harness","dotfiles","shell","broken","version","periodic",{"skillNo":503,"name":504,"nameZh":18,"description":505,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":506,"categories":507,"keywords":509,"publishedAt":225},"01M6DAY803MH6SB9Y40F9ASH61","tooluniverse-structural-variant-analysis","Comprehensive structural variant (SV) analysis skill for clinical genomics. Classifies SVs (deletions, duplications, inversions, translocations), assesses pathogenicity using ACMG-adapted criteria, evaluates gene disruption and dosage sensitivity, and provides clinical interpretation with evidence grading. Use when analyzing CNVs, large deletions\u002Fduplications, chromosomal rearrangements, or any structural variants requiring clinical interpretation.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-structural-variant-analysis\u002FSKILL.md",[508],{"categoryNo":373,"categoryName":374,"taxonomyType":58,"taxonomyTypeDesc":59},[216,318,267,510,261,480,220,222,295,511,512,269],"tooluniverse structural variant analysis","sensitivity","genomics",{"skillNo":514,"name":515,"nameZh":18,"description":516,"descriptionZh":18,"repositoryFullName":230,"ownerLogin":231,"ownerAvatarUrl":232,"ownerAccountNo":233,"ownerDisplayName":18,"repositoryNo":234,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":517,"categories":518,"keywords":519,"publishedAt":225},"01M6DAY6RX2Y64938X9CQCNV8M","memory-hygiene","Use to compact agent memory stores that grow append-only and rot — AGENTS.md \"Notes to self\" sections, bd memories, CLAUDE.md instruction drift — by deduplicating, merging superseded entries, and retiring notes whose subject no longer exists. Triggers: \"compact my notes to self\", \"AGENTS.md is huge\", \"clean up bd memories\", \"stale agent memory\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-tooling\u002Fsubskills\u002Fmemory-hygiene\u002FSKILL.md",[],[520,521,522,523,524,220,525,383,526,322,385,527,528,529,251,530,531,532,533,387],"memory","memory hygiene","hygiene","cli","notes","only","stale","compact","drift","self","memories","entries","grow","present",10589,18]