[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:10594:":195},{"skillCount":4,"professionCount":5,"scenarioCount":6,"creatorCount":7},196921,11,7,1947,[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",1,13265,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",7762,[],{"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",4987,[],{"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",3939,[],{"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",3310,[],[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",39355,[],{"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",26492,[],{"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",13550,[],{"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",6274,[],{"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",6028,[],{"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",5526,[],{"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",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":6,"scenarioCount":6,"totalStars":121,"updatedAt":122},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437811,"2026-11-15 03:04:02",{"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",171,23,6,344400,"2026-11-15 03:07:28",{"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",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":5,"scenarioCount":6,"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":5,"scenarioCount":6,"totalStars":161,"updatedAt":162},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",940,28,238891,"2026-11-15 06:45:15",{"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",674,17,232724,"2026-11-14 23:30:58",{"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",86,2,10,188029,"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":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. ",324,3,175019,"2026-11-15 03:57:03",9,{"records":196,"total":4,"current":567,"size":568},[197,238,267,292,316,336,350,371,386,407,422,441,463,483,501,519,540,552],{"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":216,"publishedAt":237},"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\".","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-workflow\u002FSKILL.md",[210,213],{"categoryNo":211,"categoryName":212,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",[217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236],"workflow","th workflow","code review","design","pr","development","code","feedback","parallel","brainstorm","branch","before building","use","up","superpowers","development workflow","clean","upstream","feature","triggers","2026-11-10 10:12:30",{"skillNo":239,"name":240,"nameZh":18,"description":241,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":248,"categories":249,"keywords":250,"publishedAt":237},"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.","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-toxicology\u002FSKILL.md",[],[251,252,253,254,255,229,256,257,258,259,260,261,262,263,264,265,266],"tooluniverse toxicology","tracing","detection","list","outcome","evidence","reports","Market","world","relationships","signals","grading","structured","get","chemical","environmental",{"skillNo":268,"name":269,"nameZh":18,"description":270,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":271,"categories":272,"keywords":274,"publishedAt":237},"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",[273],{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[275,276,277,278,279,280,223,281,282,283,284,285,229,286,287,288,289,290,291,236],"run","user","user run scripts","linux","sandbox","policy","disk","Bash","password","prompt","interactive","do","task","back","me","active","tee",{"skillNo":293,"name":294,"nameZh":18,"description":295,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":296,"categories":297,"keywords":301,"publishedAt":237},"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",[298],{"categoryNo":299,"categoryName":300,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000021","资料检索与研究",[302,303,304,305,306,225,307,308,309,229,310,256,311,312,313,314,262,315],"research","tooluniverse target research","assessment","validation","open","profiling","ask","coverage","target profiling","intelligence","info","structure","target intelligence","proteins",{"skillNo":317,"name":318,"nameZh":18,"description":319,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":320,"categories":321,"keywords":322,"publishedAt":237},"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",[],[323,324,278,280,325,223,326,327,328,329,229,230,330,331,332,333,233,236,334,335],"transcript","transcript retention","sessions","projects","tool","history","session","snapshots","rollouts","files","manage","age","gzip",{"skillNo":337,"name":338,"nameZh":18,"description":339,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":340,"categories":341,"keywords":342,"publishedAt":237},"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",[],[343,344,345,346,347,348,229,349],"systems biology","systems","tooluniverse systems biology","analyzing","enrichment","analysis","databases",{"skillNo":351,"name":352,"nameZh":18,"description":353,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":354,"categories":355,"keywords":356,"publishedAt":237},"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",[],[357,330,358,359,360,361,362,275,363,364,365,366,367,327,368,229,369,370,290,236],"refresh","refresh snapshots","gemini","codex","plugin","bootstrap","update","state","harness","dotfiles","shell","broken","version","periodic",{"skillNo":372,"name":373,"nameZh":18,"description":374,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":375,"categories":376,"keywords":378,"publishedAt":237},"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",[377],{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[348,379,380,381,382,346,229,256,262,383,384,385],"variant analysis","structural","tooluniverse structural variant analysis","interpretation","sensitivity","genomics","clinical",{"skillNo":387,"name":388,"nameZh":18,"description":389,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":390,"categories":391,"keywords":392,"publishedAt":237},"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",[],[393,394,395,396,397,229,398,230,399,332,233,400,401,402,290,403,404,405,406,236],"memory","memory hygiene","hygiene","cli","notes","only","stale","compact","drift","self","memories","entries","grow","present",{"skillNo":408,"name":409,"nameZh":18,"description":410,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":411,"categories":412,"keywords":413,"publishedAt":237},"01M6DAY4V3B8CGCM2QTPMSYV36","tooluniverse-structural-proteomics","Integrate structural biology data with proteomics for drug target validation. Retrieves protein structures from PDB (RCSB, PDBe), AlphaFold predictions, antibody structures (SAbDab), GPCR data (GPCRdb), binding pocket analysis (ProteinsPlus), and ligand interactions (BindingDB). Use when asked to find structures for a drug target, identify binding site ligands, cross-validate drug binding with structural data, assess structural druggability, or compare experimental vs predicted structures.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-structural-proteomics\u002FSKILL.md",[],[414,380,415,416,305,417,348,418,419,229,420,421],"proteomics","tooluniverse structural proteomics","validate","data","site","find","integrate","structural biology",{"skillNo":423,"name":424,"nameZh":18,"description":425,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":426,"categories":427,"keywords":428,"publishedAt":237},"01M6DAY3926TS2Y84D60WYPDYJ","dotfiles-review","Use to review the ~\u002F.dotfiles tree — rc files, alias\u002Ffunction files under to_source\u002F, home_rcs\u002F, and .config tool dirs — for objective conflicts (duplicate or shadowing aliases, mutually exclusive settings, dead references) and best-practice recommendations, while never opening secret files. Triggers: \"review my dotfiles\", \"clean up my zshrc\", \"are my aliases conflicting\", \"modernize my shell config\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-tooling\u002Fsubskills\u002Fdotfiles-review\u002FSKILL.md",[],[429,366,430,431,432,327,229,433,434,230,435,332,436,437,233,290,438,439,440,236],"review","dotfiles review","zsh","zshrc","auto","never","best-practice","conflicts","references","layout","recommendations","alias",{"skillNo":442,"name":443,"nameZh":18,"description":444,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":445,"categories":446,"keywords":448,"publishedAt":237},"01M6DAY1NKR4M368RNDA5N9235","tooluniverse-stem-cell-organoid","Research stem cells, iPSCs, organoids, and cell differentiation using ToolUniverse tools. Covers pluripotency marker identification, differentiation pathway analysis, organoid model characterization, cell type annotation, and disease modeling. Integrates CellxGene\u002FHCA for single-cell atlas data, CellMarker for cell type markers, GEO for stem cell datasets, and pathway tools for differentiation signaling. Use when asked about stem cells, iPSCs, organoids, cell reprogramming, pluripotency, differentiation protocols, or 3D culture models.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-stem-cell-organoid\u002FSKILL.md",[447],{"categoryNo":299,"categoryName":300,"taxonomyType":58,"taxonomyTypeDesc":59},[449,450,302,451,417,452,348,453,454,455,229,456,457,458,459,460,461,462],"cell","tooluniverse stem cell organoid","protocols","Tools","3D","atlas","model","models","datasets","geo","culture","signaling","modeling","type",{"skillNo":464,"name":465,"nameZh":18,"description":466,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":467,"categories":468,"keywords":470,"publishedAt":237},"01M6DAXZSEA0HKNHYJMDZG2N1G","config-surface-audit","Use to audit the non-skill recurring context surfaces of the AI tools — configured MCP servers (tool schemas load every session), permission allowlists, and hooks in settings.json \u002F config.toml — against actual usage from transcripts, and recommend removing what never fires. Triggers: \"audit my MCP servers\", \"are these permissions stale\", \"what hooks do I have\", \"config bloat\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-tooling\u002Fsubskills\u002Fconfig-surface-audit\u002FSKILL.md",[469],{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[471,472,473,474,360,475,476,327,477,478,329,229,434,479,480,481,286,290,482,236],"config","audit","config surface audit","MCP","ai tools","permissions","json","recurring","hooks","settings.json","surfaces","toml",{"skillNo":484,"name":485,"nameZh":18,"description":486,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":487,"categories":488,"keywords":489,"publishedAt":237},"01M6DAXWS1HFX3RVEMX98EP739","tooluniverse-statistical-modeling","Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary\u002Fordinal\u002Fmultinomial), mixed-effects models, Cox proportional hazards survival analysis, Kaplan-Meier estimation, and comprehensive model diagnostics. Extracts odds ratios, hazard ratios, confidence intervals, p-values, and effect sizes. Designed to solve BixBench statistical reasoning questions involving clinical\u002Fexperimental data. Use when asked to fit regression models, compute odds ratios, perform survival analysis, run statistical tests, or interpret model coefficients from provided data.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-statistical-modeling\u002FSKILL.md",[],[461,490,491,275,492,417,348,455,493,494,229,495,456,457,496,497,498,499,500,385],"tooluniverse statistical modeling","diagnostics","linear","regression","effect","solve","compute","estimation","biomedical","confidence intervals","tests",{"skillNo":502,"name":503,"nameZh":18,"description":504,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":505,"categories":506,"keywords":508,"publishedAt":237},"01M6DAXW8P4N676EZDHVX2EM87","audit-skill-hygiene","Use to produce a content-safe, reproducible measurement-only audit of cataloged skill usage from Claude Code and Codex. Emits an aggregate decision matrix; it never changes catalogs or recommends direct archival. Triggers: \"audit skill usage\", \"which skills are actually used\", \"is our skill catalog bloated\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-tooling\u002Fsubskills\u002Faudit-skill-hygiene\u002FSKILL.md",[507],{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[472,509,395,510,511,360,362,223,323,512,513,514,515,516,229,434,398,517,518,236],"skill hygiene","audit skill hygiene","python","produce","Reproducible","skill usage","decision","catalog","uv","openai codex",{"skillNo":520,"name":521,"nameZh":18,"description":522,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":523,"categories":524,"keywords":525,"publishedAt":237},"01M6DAXS2X29FP9T13Q688PE5M","tooluniverse-spatial-transcriptomics","Analyze spatial transcriptomics data to map gene expression in tissue architecture. Supports 10x Visium, MERFISH, seqFISH, Slide-seq, and imaging-based platforms. Performs spatial clustering, domain identification, cell-cell proximity analysis, spatial gene expression patterns, tissue architecture mapping, and integration with single-cell data. Use when analyzing spatial transcriptomics datasets, studying tissue organization, identifying spatial expression patterns, mapping cell-cell interactions in tissue context, characterizing tumor microenvironment spatial structure, or integrating spatial and single-cell RNA-seq data for comprehensive tissue analysis.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-spatial-transcriptomics\u002FSKILL.md",[],[526,527,528,529,346,417,530,348,531,532,533,229,457,534,535,313,536,537,538,539],"Spatial","tooluniverse spatial transcriptomics","architecture","integration","clustering","analyze","10x","context","patterns","organization","domain","map","RNA","gene expression",{"skillNo":541,"name":542,"nameZh":18,"description":543,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":18,"repositoryNo":205,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":544,"categories":545,"keywords":547,"publishedAt":237},"01M6DAXRS459GJ081X438QNE53","th-tooling","Use for hygiene of this machine's AI-tooling harness — the ~\u002F.dotfiles repo, the ai-bootstrap skills tree, and the installed tool homes (~\u002F.claude, ~\u002F.codex, ~\u002F.gemini): auditing real skill usage from transcripts, archiving unused skills, reviewing dotfiles for conflicting aliases\u002Fconfig, refreshing snapshot state (skill symlinks, submodules, mirrored assets), transcript disk retention, compacting agent memory (AGENTS.md notes, bd memories), and auditing MCP\u002Fpermission\u002Fhook config against actual use. Route to exactly one subskill per task. Triggers: \"audit my skills\", \"which skills are unused\", \"review my dotfiles\", \"clean up my zshrc\", \"refresh snapshots\", \"old transcripts eating disk\", \"compact my notes to self\", \"audit my MCP servers\", \"harness hygiene\".","https:\u002F\u002Fgithub.com\u002Ftzeusy-org\u002Fai-bootstrap\u002Fblob\u002Fmain\u002Fskills\u002Fpersonal\u002Fth-tooling\u002FSKILL.md",[546],{"categoryNo":214,"categoryName":215,"taxonomyType":58,"taxonomyTypeDesc":59},[548,549,474,359,511,393,365,366,432,514,327,550,229,230,517,233,400,551,403,236],"tooling","th tooling","repo","local",{"skillNo":553,"name":554,"nameZh":18,"description":555,"descriptionZh":18,"repositoryFullName":242,"ownerLogin":243,"ownerAvatarUrl":244,"ownerAccountNo":245,"ownerDisplayName":246,"repositoryNo":247,"starsCount":206,"licenseSpdxId":207,"licenseFileUrl":18,"sourceHtmlUrl":556,"categories":557,"keywords":558,"publishedAt":237},"01M6DAXNAM7ECVA99754FT1FE2","tooluniverse-spatial-omics-analysis","Computational analysis framework for spatial multi-omics data integration. Given spatially variable genes (SVGs), spatial domain annotations, tissue type, and disease context from spatial transcriptomics\u002Fproteomics experiments (10x Visium, MERFISH, DBiTplus, SLIDE-seq, etc.), performs comprehensive biological interpretation including pathway enrichment, cell-cell interaction inference, druggable target identification, immune microenvironment characterization, and multi-modal integration. Produces a detailed markdown report with Spatial Omics Integration Score (0-100), domain-by-domain characterization, and validation recommendations. Uses 70+ ToolUniverse tools across 9 analysis phases. Use when users ask about spatial transcriptomics analysis, spatial omics interpretation, tissue heterogeneity, spatial gene expression patterns, tumor microenvironment mapping, tissue zonation, or cell-cell communication from spatial data.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Flibrary\u002Fskills\u002Ftooluniverse-spatial-omics-analysis\u002FSKILL.md",[],[348,526,559,382,560,561,562,529,347,563,308,229,564,536,565,414,539,566,439,462],"tooluniverse spatial omics analysis","report","data integration","communication","markdown","Immune","across","computational",10594,18]