[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:10501:":195},[4,15,22,29,36,43],{"categoryNo":5,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":8,"categoryNameEn":9,"description":10,"level":11,"skillCount":12,"parentNo":13,"parentName":13,"children":14},"01JBSEEDCAT000000000000030","PROFESSION","适用职业","开发工程师","Software Engineer","从事软件编码、测试与运维的工程师",1,13265,null,[],{"categoryNo":16,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":17,"categoryNameEn":18,"description":19,"level":11,"skillCount":20,"parentNo":13,"parentName":13,"children":21},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7762,[],{"categoryNo":23,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":24,"categoryNameEn":25,"description":26,"level":11,"skillCount":27,"parentNo":13,"parentName":13,"children":28},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4987,[],{"categoryNo":30,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":31,"categoryNameEn":32,"description":33,"level":11,"skillCount":34,"parentNo":13,"parentName":13,"children":35},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3939,[],{"categoryNo":37,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":38,"categoryNameEn":39,"description":40,"level":11,"skillCount":41,"parentNo":13,"parentName":13,"children":42},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":44,"taxonomyType":6,"taxonomyTypeDesc":7,"categoryName":45,"categoryNameEn":46,"description":47,"level":11,"skillCount":48,"parentNo":13,"parentName":13,"children":49},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3310,[],[51,60,67,74,81,88],{"categoryNo":52,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":55,"categoryNameEn":56,"description":57,"level":11,"skillCount":58,"parentNo":13,"parentName":13,"children":59},"01JBSEEDCAT000000000000022","SCENARIO","使用场景","智能体与自动化","Agents & Automation","Skill、MCP、智能体与工作流自动化",39355,[],{"categoryNo":61,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":62,"categoryNameEn":63,"description":64,"level":11,"skillCount":65,"parentNo":13,"parentName":13,"children":66},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26492,[],{"categoryNo":68,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":69,"categoryNameEn":70,"description":71,"level":11,"skillCount":72,"parentNo":13,"parentName":13,"children":73},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13550,[],{"categoryNo":75,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":76,"categoryNameEn":77,"description":78,"level":11,"skillCount":79,"parentNo":13,"parentName":13,"children":80},"01JBSEEDCAT000000000000001","办公效率","Office Productivity","日常办公文档、表格、演示与沟通类任务",6274,[],{"categoryNo":82,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":83,"categoryNameEn":84,"description":85,"level":11,"skillCount":86,"parentNo":13,"parentName":13,"children":87},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6028,[],{"categoryNo":89,"taxonomyType":53,"taxonomyTypeDesc":54,"categoryName":90,"categoryNameEn":91,"description":92,"level":11,"skillCount":93,"parentNo":13,"parentName":13,"children":94},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5526,[],{"records":96,"total":191,"current":11,"size":192},[97,111,120,130,140,150,160,169,179],{"accountNo":98,"login":99,"displayName":100,"avatarUrl":101,"accountType":102,"accountTypeDesc":103,"profileDescription":104,"skillCount":105,"repoCount":106,"professionCount":107,"scenarioCount":108,"totalStars":109,"updatedAt":110},"01M698VYDXZ6JW5WH3CRV650R8","microsoft","Microsoft","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F6154722?v=4","ORGANIZATION","组织","Open source projects and samples from Microsoft",4147,229,11,7,829728,"2026-11-15 04:18:35",{"accountNo":112,"login":113,"displayName":113,"avatarUrl":114,"accountType":102,"accountTypeDesc":103,"profileDescription":115,"skillCount":116,"repoCount":117,"professionCount":108,"scenarioCount":108,"totalStars":118,"updatedAt":119},"01M698P3FSAZ6B4R928ZF19KPT","openclaw","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252820863?v=4","Your personal, open source AI assistant.",362,32,437811,"2026-11-15 03:04:02",{"accountNo":121,"login":122,"displayName":123,"avatarUrl":124,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":125,"repoCount":126,"professionCount":108,"scenarioCount":127,"totalStars":128,"updatedAt":129},"01M6AC29YGCR4S2NTJFV0G8B81","openai","OpenAI","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F14957082?v=4",171,23,6,344400,"2026-11-15 03:07:28",{"accountNo":131,"login":132,"displayName":133,"avatarUrl":134,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":135,"repoCount":136,"professionCount":137,"scenarioCount":108,"totalStars":138,"updatedAt":139},"01M6AC83E6K4FDKK7HZ8WNMQKE","apache","The Apache Software Foundation","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F47359?v=4",419,75,8,298245,"2026-11-15 04:11:16",{"accountNo":141,"login":142,"displayName":143,"avatarUrl":144,"accountType":102,"accountTypeDesc":103,"profileDescription":145,"skillCount":146,"repoCount":147,"professionCount":107,"scenarioCount":108,"totalStars":148,"updatedAt":149},"01M698VYEFDM0VJBZDYYJ2T83S","google","Google","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F1342004?v=4","Google ❤️ Open Source",528,48,243799,"2026-11-15 03:00:30",{"accountNo":151,"login":152,"displayName":153,"avatarUrl":154,"accountType":102,"accountTypeDesc":103,"profileDescription":155,"skillCount":156,"repoCount":157,"professionCount":107,"scenarioCount":108,"totalStars":158,"updatedAt":159},"01M6AC83DS133TPXFSP1DHNCC6","github","GitHub","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F9919?v=4","How people build software.",940,28,238891,"2026-11-15 06:45:15",{"accountNo":161,"login":162,"displayName":163,"avatarUrl":164,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":165,"repoCount":166,"professionCount":107,"scenarioCount":108,"totalStars":167,"updatedAt":168},"01M697XGDPXJAVQ8391V2BCYTE","anthropics","Anthropic","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4",674,17,232724,"2026-11-14 23:30:58",{"accountNo":170,"login":171,"displayName":172,"avatarUrl":173,"accountType":102,"accountTypeDesc":103,"profileDescription":13,"skillCount":174,"repoCount":175,"professionCount":176,"scenarioCount":108,"totalStars":177,"updatedAt":178},"01M6AC83EPDGBFN19MWYRREJD0","Significant-Gravitas","AutoGPT","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130738209?v=4",86,2,10,188029,"2026-11-15 06:21:09",{"accountNo":180,"login":181,"displayName":182,"avatarUrl":183,"accountType":184,"accountTypeDesc":185,"profileDescription":186,"skillCount":187,"repoCount":188,"professionCount":127,"scenarioCount":108,"totalStars":189,"updatedAt":190},"01M6DJCCDDG53MTYYRTXAXFG17","garrytan","Garry Tan","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F19957?v=4","USER","个人作者","Writes software, dreams. ",324,3,175019,"2026-11-15 03:57:03",1947,9,{"skillCount":194,"professionCount":107,"scenarioCount":108,"creatorCount":191},196921,{"records":196,"total":194,"current":581,"size":582},[197,239,262,289,314,335,348,369,388,413,439,452,473,488,507,536,556,575],{"skillNo":198,"name":199,"nameZh":13,"description":200,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":209,"categories":210,"keywords":217,"publishedAt":238},"01M6DE7AA4FTQPGM7AHTWJY50Q","fal-ai-media","Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text\u002Fimage-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.","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\u002Fskills\u002Ffal-ai-media\u002FSKILL.md",[211,214],{"categoryNo":212,"categoryName":213,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":215,"categoryName":216,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",[218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237],"Media","fal ai media","fal","MCP","image","generate","speech","Text-to-Image","CSM","Video","Audio","text","user","use","images","nano banana","veo","banana","generation","media generation","2026-11-10 10:12:30",{"skillNo":240,"name":241,"nameZh":13,"description":242,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":243,"categories":244,"keywords":252,"publishedAt":238},"01M6DE77QXBG01J119WRVFR48P","faculty-course-design-evidence","Use when designing or revising a course, syllabus, or module with evidence-based learning structure and assessment alignment.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Ffaculty-course-design-evidence\u002FSKILL.md",[245,248,249],{"categoryNo":246,"categoryName":247,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":250,"categoryName":251,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000039","教师与教育",[253,254,255,256,257,258,231,259,260,261],"design","evidence","faculty course design evidence","assessment","learning","syllabus","alignment","structure","module",{"skillNo":263,"name":264,"nameZh":13,"description":265,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":266,"categories":267,"keywords":269,"publishedAt":238},"01M6DE74FQ6B75Q0KANZ8AP2Q6","fable-safe-prompt","Rewrite allowed prompts to reduce false-positive safety triggers without bypassing policy or changing intent.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Ffable-safe-prompt\u002FSKILL.md",[268],{"categoryNo":215,"categoryName":216,"taxonomyType":53,"taxonomyTypeDesc":54},[270,271,272,152,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288],"safe","prompt","fable safe prompt","codex","policy","license","https","Guardrails","false-positive","Safety","behavior","prompts","agent-behavior","community","intent","main","prompting","triggers","false",{"skillNo":290,"name":291,"nameZh":13,"description":292,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":293,"categories":294,"keywords":295,"publishedAt":238},"01M6DE70A18R61SD0BP6XEWQT8","execution-grounded-bon","Use when you have SEVERAL candidate patches\u002Fsolutions for the same task — typically from a cross-vendor Claude+Codex worktree fan-out — and must pick the best one WITHOUT trusting an LLM to judge them (JudgeBench shows model-opinion rerank ≈ chance). Synthesize distinguishing inputs where the candidates diverge, execute all candidates on them, cluster by behavior (behavioral-diff), knock out crashers\u002Ftimeouts, and select by EXECUTION-CONSENSUS — where an independent Claude candidate and an independent Codex candidate agree, that agreement is the signal (cross-vendor = independent failures). A BoN-MAV aspect jury ranks within the winning cluster. Distinct from A3 fail-first (validates ONE author's own tests) and diff-blind-test-synth (one patch vs spec-derived tests). Ships SHADOW: observe + log only, never blocks. Evidence: MASTER A4, COUNCIL C3; arXiv 2502.14382 (S*), 2409.08692 (B4), 2503.15223 (PatchDiff), 2207.10397 (CodeT).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fexecution-grounded-bon\u002FSKILL.md",[],[296,297,298,299,300,301,302,303,231,304,305,306,254,307,308,309,310,311,312,313],"execution","execution grounded bon","test","first","model","select","pick","consensus","diff","never","only","patch","log","observe","diverge","task","synthesize","tests",{"skillNo":315,"name":316,"nameZh":13,"description":317,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":318,"categories":319,"keywords":320,"publishedAt":238},"01M6DE6WZ943YV1K3SH7QKQ9G9","executing-plans","Use when loading a written implementation plan and executing tasks in batches with user review checkpoints between batches, typically in a separate session ; do NOT use when all tasks are independent and can be dispatched in parallel within the current session (use subagent-driven-development) ; returns batch-by-batch progress with review pauses.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fexecuting-plans\u002FSKILL.md",[],[321,322,323,324,325,326,327,328,329,330,230,331,231,332,333,334],"executing plans","plans","review","tasks","development","batch","plan","subagent","parallel","returns","session","implementation","do","driven",{"skillNo":336,"name":337,"nameZh":13,"description":338,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":339,"categories":340,"keywords":341,"publishedAt":238},"01M6DE6T396HWM1ZJ9VTNBWJNK","evidence-ledger-synthesis","Use when the user needs a claim-by-claim evidence ledger before writing a review, memo, paper section, or recommendation.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fevidence-ledger-synthesis\u002FSKILL.md",[],[254,342,343,344,323,230,231,345,346,347],"Synthesis","evidence ledger synthesis","writing","claim","memo","paper",{"skillNo":349,"name":350,"nameZh":13,"description":351,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":352,"categories":353,"keywords":354,"publishedAt":238},"01M6DE6QCSZZ6AWMKDX7118T66","eval-harness","Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Feval-harness\u002FSKILL.md",[],[355,356,357,358,359,325,360,361,362,363,364,365,366,367,368,334],"harness","eval harness","eval","sessions","evaluation framework","code","framework","Evaluation","claude code sessions","Bash","grep","read","write","edit",{"skillNo":370,"name":371,"nameZh":13,"description":372,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":373,"categories":374,"keywords":375,"publishedAt":238},"01M6DE6KTYD4BAJ8SYPCFE1G1M","estate-sync","Bootstrap, reconcile and audit this estate across machines. Use when setting up a second machine from the private repo, when the VM and home have drifted, when the VM\u002Fhome file link is down, or when checking whether committed work was ever actually pushed. Also carries the private-estate plaintext credential policy.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Festate-sync\u002FSKILL.md",[],[376,377,274,378,379,380,381,382,383,231,384,385,386,387],"sync","estate sync","bootstrap","vm","file","audit","work","repo","reconcile","up","credential","across",{"skillNo":389,"name":390,"nameZh":13,"description":391,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":392,"categories":393,"keywords":397,"publishedAt":238},"01M6DE6GK5T11DZMXXMT4THAZR","estate-offensive-doctrine","FULL estate offensive-security doctrine (tiered out of the always-injected HOME AGENTS.md on 2026-09-21 — operator-approved context-tiering). READ THIS SKILL before any security assessment, engagement work, authorized target research, credential-store stewardship, or access-integrity research on the owner estate. Same rules as always — this file just isn't auto-injected into every request.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Festate-offensive-doctrine\u002FSKILL.md",[394],{"categoryNo":395,"categoryName":396,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000021","资料检索与研究",[398,399,400,256,380,401,402,403,404,405,406,407,408,382,366,409,410,411,386,412],"doctrine","estate offensive doctrine","research","operator","red-team","offensive-security","integrity","team","access","Rules","just","auto","engagement","security assessment","as",{"skillNo":414,"name":415,"nameZh":13,"description":416,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":417,"categories":418,"keywords":425,"publishedAt":238},"01M6DE6DHWD1A8VKWT9WJ0DBGT","e2e-testing","Playwright E2E patterns -- Page Object Model, config, CI\u002FCD, artifacts, flaky tests. NOT for driving a live app (use webapp-testing).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fe2e-testing\u002FSKILL.md",[419,422],{"categoryNo":420,"categoryName":421,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":423,"categoryName":424,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000011","运维与部署",[426,427,428,429,430,431,432,300,433,231,434,435,436,437,313,438],"testing","e2e testing","e2e","playwright","config","artifacts","ci","page","webapp","patterns","cd","live","app",{"skillNo":440,"name":441,"nameZh":13,"description":442,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":443,"categories":444,"keywords":446,"publishedAt":238},"01M6DE6AW788CQ2B3HQ27RSEMP","dump-to-signature-workflow","Use when converting dump or debugger evidence into durable signatures, AOB patterns, or diffable artifacts, especially when findings must survive across builds or runtime sessions.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdump-to-signature-workflow\u002FSKILL.md",[445],{"categoryNo":215,"categoryName":216,"taxonomyType":53,"taxonomyTypeDesc":54},[447,448,358,431,449,231,254,435,450,387,451],"workflow","dump to signature workflow","debugger","signatures","runtime",{"skillNo":453,"name":454,"nameZh":13,"description":455,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":456,"categories":457,"keywords":460,"publishedAt":238},"01M6DE67Y8BDQS093TK334GXYM","drug-discovery-literature-bridge","Use when extracting molecules, targets, assays, and clinical context from a paper (via the Scholarly Access MCP paper_* tools) to seed the drug-discovery stack — ToolUniverse DDI\u002FADMET\u002Ftarget-validation\u002Fmechanism tools and the RDKit MCP — keeping DOI provenance on every extracted entity.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdrug-discovery-literature-bridge\u002FSKILL.md",[458,459],{"categoryNo":395,"categoryName":396,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":215,"categoryName":216,"taxonomyType":53,"taxonomyTypeDesc":54},[461,462,463,221,464,465,466,467,406,468,469,231,470,471,347,472],"discovery","bridge","drug discovery literature bridge","validation","Tools","provenance","rdkit","stack","context","seed","clinical","tooluniverse",{"skillNo":474,"name":475,"nameZh":13,"description":476,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":477,"categories":478,"keywords":479,"publishedAt":238},"01M6DE652BN9V70P5AV5DM81CN","drive-biomni-lab","Use when the user wants to run a biomedical\u002Fclinical-genomics analysis on the hosted Biomni Lab (biomni.phylo.bio, Phylo Inc.) from Claude Code - starting or continuing a Biomni agent task, controlling effort\u002Fmodel, attaching skills or @-resources, polling a run, switching\u002Frotating accounts, or checking usage\u002Fbilling. Triggers: \"run this on Biomni\", \"rotate Biomni accounts\", or the bm_* tools.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdrive-biomni-lab\u002FSKILL.md",[],[480,481,482,483,360,465,484,300,230,231,311,485,486,487,287,471],"biomni","drive","drive biomni lab","run","analysis","genomics","biomedical","switching",{"skillNo":489,"name":490,"nameZh":13,"description":491,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":492,"categories":493,"keywords":494,"publishedAt":238},"01M6DE628BN0F6E08RNA3TBTTM","dr-plan","Use when someone asks to \"create a DR plan\", \"disaster recovery\", \"business continuity\", or \"RTO RPO\" — generates a product\u002Fservice-scoped Disaster Recovery plan with numeric RTO\u002FRPO targets, ranked disaster scenarios, recovery procedures, manual workarounds, and a testing schedule. Not for step-by-step restoration runbooks.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdr-plan\u002FSKILL.md",[],[327,495,426,496,497,498,499,500,501,502,503,231,504,505,506],"dr plan","recovery plan","create","product","recovery","rto","rpo","schedule","business","continuity","disaster recovery","service",{"skillNo":508,"name":509,"nameZh":13,"description":510,"descriptionZh":13,"repositoryFullName":511,"ownerLogin":512,"ownerAvatarUrl":513,"ownerAccountNo":514,"ownerDisplayName":515,"repositoryNo":516,"starsCount":207,"licenseSpdxId":517,"licenseFileUrl":13,"sourceHtmlUrl":518,"categories":519,"keywords":521,"publishedAt":238},"01M6DE5Z4XPCX1FJ8FYC23VGFP","playwright-cli","Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.","kto2myk\u002Fplaywright-cli","kto2myk","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F187358097?v=4","01M6DE5N64ZQJ0BR0D6HG70JRF","Tomoya Kanda","01M6DE5NATGVRNAQ8WGF2WF8F6","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fkto2myk\u002Fplaywright-cli\u002Fblob\u002Fmain\u002Fskills\u002Fplaywright-cli\u002FSKILL.md",[520],{"categoryNo":420,"categoryName":421,"taxonomyType":53,"taxonomyTypeDesc":54},[522,429,523,426,524,298,525,526,527,528,529,364,230,530,231,531,532,533,534,535],"cli","playwright cli","screenshots","web","browser","extraction","data","applications","extract","take","test web","web testing","forms","pages",{"skillNo":537,"name":538,"nameZh":13,"description":539,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":540,"categories":541,"keywords":548,"publishedAt":238},"01M6DE5Z0D10QAPZ09CV1DE818","doc","Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts\u002Frender_docx.py` for visual checks.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdoc\u002FSKILL.md",[542,545],{"categoryNo":543,"categoryName":544,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":546,"categoryName":547,"taxonomyType":6,"taxonomyTypeDesc":7},"01JBSEEDCAT000000000000034","行政与办公人员",[538,549,550,551,552,231,311,553,554,555],"docx","python","documents","editing","visual","layout","formatting",{"skillNo":557,"name":558,"nameZh":13,"description":559,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":13,"sourceHtmlUrl":560,"categories":561,"keywords":562,"publishedAt":238},"01M6DE5W7Y8K58HH9HDMSQN8WA","dmux-workflows","Multi-agent orchestration using dmux (tmux pane manager for AI agents). Patterns for parallel agent workflows across Claude Code, Codex, OpenCode, and other harnesses. Use when running multiple agent sessions in parallel or coordinating multi-agent development workflows.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdmux-workflows\u002FSKILL.md",[],[563,564,565,566,273,567,358,325,360,568,569,329,231,570,571,435,572,387,573,574],"workflows","dmux workflows","ai agents","tmux","orchestration","agent development","multi-agent","opencode","agent orchestration","agent sessions","development workflows","agent workflows",{"skillNo":576,"name":509,"nameZh":13,"description":510,"descriptionZh":13,"repositoryFullName":511,"ownerLogin":512,"ownerAvatarUrl":513,"ownerAccountNo":514,"ownerDisplayName":515,"repositoryNo":516,"starsCount":207,"licenseSpdxId":517,"licenseFileUrl":13,"sourceHtmlUrl":577,"categories":578,"keywords":580,"publishedAt":238},"01M6DE5W5KADS9T2XSXWKMNEB8","https:\u002F\u002Fgithub.com\u002Fkto2myk\u002Fplaywright-cli\u002Fblob\u002Fmain\u002F.codex\u002Fskills\u002Fplaywright-cli\u002FSKILL.md",[579],{"categoryNo":420,"categoryName":421,"taxonomyType":53,"taxonomyTypeDesc":54},[522,429,523,426,524,298,525,526,527,528,529,364,230,530,231,531,532,533,534,535],10501,18]