[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:10593:":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":550,"size":551},[197,232,263,280,305,324,346,362,384,407,421,436,448,463,486,502,514,536],{"skillNo":198,"name":199,"nameZh":18,"description":200,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":208,"categories":209,"keywords":210,"publishedAt":231},"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.","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\u002Fgreenfield-parity\u002FSKILL.md",[],[211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230],"greenfield parity","review","cli","python","workflow","change","audit","beads","projects","subagent","closeout","dossier","use","complexity","uv","files","build","delta","backlog","active","2026-11-10 10:12:30",{"skillNo":233,"name":234,"nameZh":18,"description":235,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":242,"categories":243,"keywords":244,"publishedAt":231},"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.","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-phylogenetics\u002FSKILL.md",[],[245,246,247,248,249,250,251,252,253,223,254,255,256,257,226,258,259,260,261,262],"phylogenetics","tooluniverse phylogenetics","support","bootstrap","batch","Production","biopython","analysis","evolution","ready","gc","Nexus","alignment","across","statistics","molecular","tests","gap",{"skillNo":264,"name":265,"nameZh":18,"description":266,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":267,"categories":268,"keywords":269,"publishedAt":231},"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",[],[270,271,272,273,274,275,223,276,277,278,279],"tooluniverse pharmacovigilance","assessment","data","risk","Safety","analyze","fda","reports","Market","signals",{"skillNo":281,"name":282,"nameZh":18,"description":283,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":284,"categories":285,"keywords":289,"publishedAt":231},"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",[286],{"categoryNo":287,"categoryName":288,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",[290,291,292,214,215,293,294,295,296,297,298,299,300,223,301,225,302,303,230,304],"excalidraw diagram","diagram","excalidraw","chromium","playwright","architecture","mermaid","browser","first","repo","refresh","evidence","mermaid diagram","structure","local",{"skillNo":306,"name":307,"nameZh":18,"description":308,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":309,"categories":310,"keywords":311,"publishedAt":231},"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",[],[312,313,314,315,216,125,316,223,317,318,319,320,230,321,322,323],"engineering","engineering bar","codex","definition of done","quality","reference","default","craft","done","project","openai codex","authoring",{"skillNo":325,"name":326,"nameZh":18,"description":327,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":328,"categories":329,"keywords":334,"publishedAt":231},"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",[330,333],{"categoryNo":331,"categoryName":332,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":287,"categoryName":288,"taxonomyType":58,"taxonomyTypeDesc":59},[335,336,215,337,338,339,340,341,342,223,276,343,344,345],"tooluniverse pharmacogenomics","research","status","interpretation","guidelines","lookup","ask","guide","full","recommendations","clinical",{"skillNo":347,"name":348,"nameZh":18,"description":349,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":350,"categories":351,"keywords":352,"publishedAt":231},"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",[],[353,354,355,356,272,357,358,223,301,359,360,361],"genetics","tooluniverse pathway disease genetics","translate","connect","discovery","find","maps","discover","type",{"skillNo":363,"name":364,"nameZh":18,"description":365,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":366,"categories":367,"keywords":369,"publishedAt":231},"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",[368],{"categoryNo":287,"categoryName":288,"taxonomyType":58,"taxonomyTypeDesc":59},[364,370,215,371,295,372,373,374,375,376,223,377,378,379,380,381,303,382,230,383],"docs","accessibility","code","doc","openapi","api","README","maintenance","diagrams","mkdocs","references","prose","time","contract",{"skillNo":385,"name":386,"nameZh":18,"description":387,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":388,"categories":389,"keywords":390,"publishedAt":231},"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",[],[386,391,392,393,394,395,396,397,398,399,400,223,401,301,402,403,404,230,405,406],"performance","test","debug","debugging","walkthrough","loop","correct","regression","feedback","process","regression test","up","bug","instrumentation","systematic","as",{"skillNo":408,"name":409,"nameZh":18,"description":410,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":411,"categories":412,"keywords":413,"publishedAt":231},"01M6DATZ493802N492APXVAJZY","tooluniverse-organic-chemistry","Teaches reasoning strategies for organic chemistry problems — reaction product prediction, spectroscopy interpretation, stereochemistry, and quantitative calculations. Use when users ask about reaction products, spectra, mechanisms, stereochemistry, or molecular formulas.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-organic-chemistry\u002FSKILL.md",[],[414,415,416,338,417,418,341,223,419,420,260],"organic chemistry","organic","tooluniverse organic chemistry","reasoning","product","strategies","spectroscopy",{"skillNo":422,"name":423,"nameZh":18,"description":424,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":425,"categories":426,"keywords":427,"publishedAt":231},"01M6DATXSSPP40B5A30HF3VVEA","dependency-hygiene","Use when auditing or designing module boundaries and dependency chains — dependency direction, layering, cycles, public surface area, and third-party dependency admission or upgrades — in a codebase, package, or proposed change.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fdependency-hygiene\u002FSKILL.md",[],[428,429,430,216,431,432,433,223,230,434,435],"dependency","hygiene","dependency hygiene","package","public","upgrades","third-party","module",{"skillNo":437,"name":438,"nameZh":18,"description":439,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":440,"categories":441,"keywords":442,"publishedAt":231},"01M6DATW8XEGC00G1F563TQCR4","tooluniverse-noncoding-rna","Analyze non-coding RNAs (miRNAs, lncRNAs, circRNAs) using miRBase, LNCipedia, RNAcentral, Rfam, and target prediction databases. Covers ncRNA identification, target prediction, disease associations, expression profiling, and functional annotation. Use when asked about microRNAs, long non-coding RNAs, RNA interference, miRNA targets, lncRNA function, or ncRNA-disease associations.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-noncoding-rna\u002FSKILL.md",[],[443,444,275,445,446,223,447],"RNA","tooluniverse noncoding rna","coding","profiling","databases",{"skillNo":449,"name":450,"nameZh":18,"description":451,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":452,"categories":453,"keywords":454,"publishedAt":231},"01M6DATT97F9ABVN144H9QXJQ7","cruft-cleanup","Use when reviewing or writing refactors, renames, or migrations where old interfaces may linger as aliases, re-exports, wrappers, fallback branches, deprecated flags, or other compatibility cruft. Especially relevant when changed code keeps both old and new paths alive inside the same repo.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fcruft-cleanup\u002FSKILL.md",[],[455,456,457,314,372,125,299,223,458,459,460,461,462,230,322,406],"cleanup","cruft cleanup","writing","fallback","migrations","compatibility","flags","branches",{"skillNo":464,"name":465,"nameZh":18,"description":466,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":467,"categories":468,"keywords":470,"publishedAt":231},"01M6DATREHABNAQE14KA6TVNKF","tooluniverse-neuroscience","Neuroscience research and reasoning workflows using ToolUniverse tools. Covers computational neuroscience (rate models, integrate-and-fire neurons, synaptic plasticity, network dynamics), neuroanatomy (cortical regions, basal ganglia, cerebellum, brainstem, model organism connectomes), neurophysiology (ion channels, action potentials, synaptic transmission), neural circuits (E\u002FI balance, oscillations, central pattern generators), synaptic dynamics (STDP, short-term plasticity, neuromodulation), neurodegenerative diseases (Alzheimer's, Parkinson's, ALS, Huntington's), and clinical neurology (cranial nerves, stroke localization, neuromuscular disorders). Use when researchers ask about brain regions, neural computation, firing rates, synaptic plasticity, connectomics, neurodegeneration, or clinical neurological questions.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-neuroscience\u002FSKILL.md",[469],{"categoryNo":331,"categoryName":332,"taxonomyType":58,"taxonomyTypeDesc":59},[471,472,336,473,417,474,475,341,476,223,477,478,479,480,481,482,483,484,485,345],"neuroscience","tooluniverse neuroscience","workflows","network","model","short","integrate","Neural","models","cerebellum","pattern","neurons","brain","action potentials","computational",{"skillNo":487,"name":488,"nameZh":18,"description":489,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":490,"categories":491,"keywords":493,"publishedAt":231},"01M6DATQ58BH3CSRTFP5N2BX4F","code-readability","Use when judging or improving how readable and maintainable code is — naming, function shape, abstraction altitude, comment discipline, and simplicity-over-cleverness — in a diff, module, or review, especially when code works but is hard to follow.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fcode-readability\u002FSKILL.md",[492],{"categoryNo":10,"categoryName":13,"taxonomyType":11,"taxonomyTypeDesc":12},[372,494,495,212,496,223,497,498,499,500,501,230,435],"readability","code readability","how","discipline","simplicity","diff","shape","but",{"skillNo":503,"name":504,"nameZh":18,"description":505,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":506,"categories":507,"keywords":508,"publishedAt":231},"01M6DATN4SJ7QVW9H9YMN05BQH","tooluniverse-network-pharmacology","Construct and analyze compound-target-disease networks for drug repurposing, polypharmacology discovery, and systems pharmacology. Builds multi-layer networks from ChEMBL, OpenTargets, STRING, DrugBank, Reactome, FAERS, and 60+ other ToolUniverse tools. Calculates Network Pharmacology Scores (0-100), identifies repurposing candidates, predicts mechanisms, and analyzes polypharmacology. Use when users ask about drug repurposing via network analysis, multi-target drug effects, compound-target-disease networks, systems pharmacology, or polypharmacology.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-network-pharmacology\u002FSKILL.md",[],[474,509,510,511,252,357,275,341,223,512,513],"tooluniverse network pharmacology","Tools","networks","compound","systems",{"skillNo":515,"name":516,"nameZh":18,"description":517,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":518,"categories":519,"keywords":521,"publishedAt":231},"01M6DATKCG6ZDKJS341RR2H419","ci-discipline","Use when designing, auditing, or speeding up a CI\u002FCD pipeline, or when deciding where a check should run — gate placement by cost tier, computing each verdict once per tree, affected-only selection, merge-queue topology, queue-wait vs execution diagnosis, runtime budgets, and agent push\u002Frun habits that multiply CI runs. Complements test-rigor (what a test is worth) with where and how often checks run.","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-engineering\u002Fsubskills\u002Fci-discipline\u002FSKILL.md",[520],{"categoryNo":287,"categoryName":288,"taxonomyType":58,"taxonomyTypeDesc":59},[522,497,523,392,524,525,526,527,528,496,529,223,530,402,531,532,533,534,230,535],"ci","ci discipline","merge","run","push","pipeline","execution","check","only","queue","cost","gate","selection","runtime",{"skillNo":537,"name":538,"nameZh":18,"description":539,"descriptionZh":18,"repositoryFullName":236,"ownerLogin":237,"ownerAvatarUrl":238,"ownerAccountNo":239,"ownerDisplayName":240,"repositoryNo":241,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":540,"categories":541,"keywords":542,"publishedAt":231},"01M6DATH54CQ9AFMHVNY0SYRX7","tooluniverse-multiomic-disease-characterization","Comprehensive multi-omics disease characterization integrating genomics, transcriptomics, proteomics, pathway, and therapeutic layers for systems-level understanding. Produces a detailed multi-omics report with quantitative confidence scoring (0-100), cross-layer gene concordance analysis, biomarker candidates, therapeutic opportunities, and mechanistic hypotheses. Uses 80+ ToolUniverse tools across 8 analysis layers. Use when users ask about disease mechanisms, multi-omics analysis, systems biology of disease, biomarker discovery, or therapeutic target identification from a disease perspective.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-multiomic-disease-characterization\u002FSKILL.md",[],[543,544,510,252,357,341,223,545,546,258,547,548,549,513],"tooluniverse multiomic disease characterization","report","confidence scoring","scoring","genomics","proteomics","systems biology",10593,18]