[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:sce6":8,"skills:pro6":55,"skills:creators9":100,"skills:all:stars:10587:":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},"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",1,39458,null,[],{"categoryNo":21,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":22,"categoryNameEn":23,"description":24,"level":16,"skillCount":25,"parentNo":18,"parentName":18,"children":26},"01JBSEEDCAT000000000000006","软件开发","Software Development","编码、测试、部署等软件研发任务",26531,[],{"categoryNo":28,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":29,"categoryNameEn":30,"description":31,"level":16,"skillCount":32,"parentNo":18,"parentName":18,"children":33},"01JBSEEDCAT000000000000014","设计创意","Design & Creative","视觉设计、品牌与多媒体创作",13569,[],{"categoryNo":35,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":36,"categoryNameEn":37,"description":38,"level":16,"skillCount":39,"parentNo":18,"parentName":18,"children":40},"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":42,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":43,"categoryNameEn":44,"description":45,"level":16,"skillCount":46,"parentNo":18,"parentName":18,"children":47},"01JBSEEDCAT000000000000017","内容创作","Content Creation","写作、文案与营销内容生产",6029,[],{"categoryNo":49,"taxonomyType":11,"taxonomyTypeDesc":12,"categoryName":50,"categoryNameEn":51,"description":52,"level":16,"skillCount":53,"parentNo":18,"parentName":18,"children":54},"01JBSEEDCAT000000000000020","研究与学习","Research & Learning","资料检索、知识整理与学习辅导",5531,[],[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},"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",13274,[],{"categoryNo":66,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":67,"categoryNameEn":68,"description":69,"level":16,"skillCount":70,"parentNo":18,"parentName":18,"children":71},"01JBSEEDCAT000000000000032","设计师","Designer","视觉、交互与品牌设计人员",7775,[],{"categoryNo":73,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":74,"categoryNameEn":75,"description":76,"level":16,"skillCount":77,"parentNo":18,"parentName":18,"children":78},"01JBSEEDCAT000000000000033","数据分析师","Data Analyst","数据分析、报表与商业智能人员",4988,[],{"categoryNo":80,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":81,"categoryNameEn":82,"description":83,"level":16,"skillCount":84,"parentNo":18,"parentName":18,"children":85},"01JBSEEDCAT000000000000036","内容创作者","Content Creator","作者、编辑与自媒体创作者",3940,[],{"categoryNo":87,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":88,"categoryNameEn":89,"description":90,"level":16,"skillCount":91,"parentNo":18,"parentName":18,"children":92},"01JBSEEDCAT000000000000035","市场营销","Marketer","市场推广、增长与品牌运营人员",3446,[],{"categoryNo":94,"taxonomyType":58,"taxonomyTypeDesc":59,"categoryName":95,"categoryNameEn":96,"description":97,"level":16,"skillCount":98,"parentNo":18,"parentName":18,"children":99},"01JBSEEDCAT000000000000037","律师与法务","Legal","合同、合规与法律事务人员",3316,[],{"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":575,"size":576},[197,233,251,270,291,321,350,378,392,409,421,442,463,483,502,520,537,559],{"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":232},"01M6DB26M8E87EFAN2BRCRB307","bc-drive","Deterministic ON-DEMAND driver for a LIVE Battle Cats (jp.co.ponos.battlecatsen, EN 15.4.1) on rooted BlueStacks. Reads engine state (scene\u002Fmetrics) via crash-safe one-shot Frida NativeFunction calls (NO per-frame Interceptor) and actuates via OS-level `adb shell input tap` in device px. BC is a CUSTOM PONOS C++\u002FGLES engine (not cocos2d-x). Use to script\u002Finspect BC menus or read scene state.","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\u002Fskills\u002Fbc-drive\u002FSKILL.md",[],[212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231],"drive","bc drive","safe","state","metrics","frida","shell","engine","read","use","crash","en","tap","adb","device","deterministic","c++","live","os","jp","2026-11-10 10:12:30",{"skillNo":234,"name":235,"nameZh":18,"description":236,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":237,"categories":238,"keywords":239,"publishedAt":232},"01M6DB23BW7EHACPVBZJ37ZVMC","bc-drive-plus","Use when driving a LIVE Battle Cats (jp.co.ponos.battlecatsen, EN 15.4.1) on rooted BlueStacks beyond bc-drive. Adds bounded one-shot touch-dispatch capture to resolve the stripped NewButton ctor RVA, OmniParser V2 set-of-mark grounding for the DOM-less GLES canvas, minitouch\u002Fevdev low-latency input, and a save-snapshot ring with auto-rollback. Needs adb + frida-server; builds on bc-drive and bcsfe-save-roundtrip.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbc-drive-plus\u002FSKILL.md",[],[212,240,241,242,217,243,244,245,246,247,221,248,249,223,225,250,229,231],"bc drive plus","canvas","server","SET","save","rollback","capture","snapshot","auto","dispatch","latency",{"skillNo":252,"name":253,"nameZh":18,"description":254,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":255,"categories":256,"keywords":257,"publishedAt":232},"01M6DB203BCZZ9CP48FTV4J3P0","battlecats-event-unlock","Use when working on Battle Cats (EN 15.4.1, rooted BlueStacks) special\u002Fevent\u002Ftower stage visibility or on-demand unlock RE - gives the proven dual-dependency model (tree-admission + valid schedule row), the decisive 15.4.1 offsets, the Event Summoner tool, the full event atlas cross-links, and the approaches already proven DEAD. Earlier-version offsets in a changelog.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fbattlecats-event-unlock\u002FSKILL.md",[],[258,259,260,261,262,263,264,221,265,266,223,267,268,269],"battlecats event unlock","valid","changelog","atlas","tool","model","schedule","version","dependency","active","full","stage",{"skillNo":271,"name":272,"nameZh":18,"description":273,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":274,"categories":275,"keywords":279,"publishedAt":232},"01M6DB1RMBNQ18FHWFDKPVGW8V","autonomous-loops","Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fautonomous-loops\u002FSKILL.md",[276],{"categoryNo":277,"categoryName":278,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000023","Skill与智能体开发",[280,281,282,283,284,285,286,287,288,289,290],"autonomous","autonomous loops","dag","code","RFC","multi-agent","pipelines","simple","patterns","systems","driven",{"skillNo":292,"name":293,"nameZh":18,"description":294,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":295,"categories":296,"keywords":304,"publishedAt":232},"01M6DB1MZHK4VC1F2CP3TKDYF6","autofix-bot-api","Use when scanning a repository or code change for security vulnerabilities, leaked secrets, or dependency issues via the Autofix Bot API (api.autofix.bot) and auto-applying detected fixes; requires AUTOFIX_BOT_API_KEY ; do NOT use for general code review without an Autofix Bot account ; returns findings report and applied-fix summary.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fautofix-bot-api\u002FSKILL.md",[297,300,303],{"categoryNo":298,"categoryName":299,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":301,"categoryName":302,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":57,"categoryName":60,"taxonomyType":58,"taxonomyTypeDesc":59},[305,306,307,308,309,310,311,283,312,313,314,315,316,221,248,317,266,318,319,320],"bot","api","autofix bot api","code review","review","vulnerabilities","change","report","issues","repository","secrets","fix","scanning","general","do","summary",{"skillNo":322,"name":323,"nameZh":18,"description":324,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":325,"categories":326,"keywords":330,"publishedAt":232},"01M6DB1H6AESZ5972EWM4WY7AE","audio-extract-mix","Use when you need to EXTRACT, MIX, REPLACE, DUCK, or LOUDNESS-NORMALIZE audio on a video\u002Fclip with ffmpeg — e.g. pull a wav out of a clip, lay a music bed or VO UNDER a speaker so it auto-dips when they talk (sidechain ducking), normalize an export to a per-platform LUFS target (-14 for TikTok\u002FReels\u002FShorts\u002FYouTube, -23 EBU R128 broadcast, -24 ATSC), mux\u002Freplace\u002Fstrip an audio track while preserving all other streams, or turn the soundtrack into laughter\u002Fapplause\u002F music\u002Floudness saliency signals. The exact filter graphs, argv lists, codec\u002Fmap choices, and the pitfalls that actually bite (amix auto-attenuation, -shortest duration, stream-index = list-order coupling, mono\u002F32k decode for PANNs, loudnorm single-pass drift) come from the real media_studio source cited below. Do NOT use for: per-word transcription\u002Falignment (use ASR\u002FCTC modules), TTS dub GENERATION (this only muxes a finished dub), pitch\u002Ftempo time-stretch, or pure visual edits. Do NOT use as a generic \"run ffmpeg\" reference — it is scoped to these audio ops with the project's frozen wire surface.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Faudio-extract-mix\u002FSKILL.md",[327],{"categoryNo":328,"categoryName":329,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000016","图像与多媒体",[331,332,333,334,335,336,337,338,339,340,341,342,319,343,344,345,346,347,348,349],"Audio","extract","audio extract mix","pull","Video","Media","tts","Word","clip","only","modules","alignment","tiktok","map","time","project","platform","normalize","as",{"skillNo":351,"name":352,"nameZh":18,"description":353,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":354,"categories":355,"keywords":359,"publishedAt":232},"01M6DB1DTHT099DRATADSRMT29","aspnet-core","Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Faspnet-core\u002FSKILL.md",[356],{"categoryNo":357,"categoryName":358,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000008","测试与质量",[360,361,362,363,309,364,365,366,367,368,369,370,371,372,373,374,221,375,376,377],"core","aspnet core","aspnet","testing","performance","web","official","deployment","development","authentication","blazor","grpc","controller","applications","upgrades","minimal","dependency injection","pages",{"skillNo":379,"name":380,"nameZh":18,"description":381,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":382,"categories":383,"keywords":384,"publishedAt":232},"01M6DB1BGK6Q6MYQ8GZ2WHH9R4","apply-callee-type-ex","Use when IDA Pro decompiler output suffers from missing or bad indirect-call types and you need ApplyCalleeTypeEx to improve call prototypes and downstream analysis quality.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fapply-callee-type-ex\u002FSKILL.md",[],[385,386,387,388,389,221,390,391],"type","apply callee type ex","analysis","improve","quality","call","bad",{"skillNo":393,"name":394,"nameZh":18,"description":395,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":396,"categories":397,"keywords":398,"publishedAt":232},"01M6DB19E3RH7RPGP05HYZ49VR","apa-citation-discipline","Use when writing or repairing APA-style academic prose, references, in-text citations, and attribution discipline without citation laundering.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fapa-citation-discipline\u002FSKILL.md",[],[399,400,401,402,403,404,405,221,406,407,408],"discipline","Citation","apa citation discipline","writing","attribution","Citations","text","references","prose","Academic",{"skillNo":410,"name":411,"nameZh":18,"description":412,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":413,"categories":414,"keywords":415,"publishedAt":232},"01M6DB17F7423HCHNCRSFB2CZA","angr","Use when symbolic execution, path exploration, constraint solving, or programmatic reasoning about binary behavior is needed beyond manual reversing.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fangr\u002FSKILL.md",[],[411,416,417,418,221,419,420],"reasoning","execution","behavior","exploration","binary",{"skillNo":422,"name":423,"nameZh":18,"description":424,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":425,"categories":426,"keywords":430,"publishedAt":232},"01M6DB14H8KCQKHFS69GCA8DS4","ai-regression-testing","Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fai-regression-testing\u002FSKILL.md",[427,428,429],{"categoryNo":357,"categoryName":358,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":301,"categoryName":302,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":57,"categoryName":60,"taxonomyType":58,"taxonomyTypeDesc":59},[363,431,432,433,434,368,283,435,306,263,436,437,438,439,288,440,441],"ai regression testing","regression","sandbox","workflows","database","check","api testing","bug","spots","dependencies","strategies",{"skillNo":443,"name":444,"nameZh":18,"description":445,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":446,"categories":447,"keywords":449,"publishedAt":232},"01M6DB121KTHRFX2GDJ7J3G531","agentic-os","Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fagentic-os\u002FSKILL.md",[448],{"categoryNo":277,"categoryName":278,"taxonomyType":11,"taxonomyTypeDesc":12},[450,451,230,452,453,454,455,456,283,215,457,285,458,459,460,461,462,289],"agentic","agentic os","kernel","memory","automation","architecture","state management","file","management","databases","build","commands","operating systems",{"skillNo":464,"name":465,"nameZh":18,"description":466,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":467,"categories":468,"keywords":469,"publishedAt":232},"01M6DB0XWK10F9PCKPMN7ADB1G","agentic-humanizer","Use when the user invokes \u002Fagentic-humanizer or asks to humanize AI-generated text via a 5-pass rewrite with optional voice-matching and (when Slop or Not Pro is available) detector scoring and readability checks ; do NOT use for mere AI-detection without rewriting (use slop-check) ; returns humanized text with optional readability stats.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fagentic-humanizer\u002FSKILL.md",[],[450,470,471,472,473,155,474,283,475,476,405,436,477,478,221,479,480,319,481,482],"humanizer","agentic humanizer","cli","gemini","codex","stats","Bash","generated","cursor","opencode","ai-detection","humanize","scoring",{"skillNo":484,"name":485,"nameZh":18,"description":486,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":487,"categories":488,"keywords":490,"publishedAt":232},"01M6DB0VDENHZPYXGW8WNFPNDF","agent-sort","Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fagent-sort\u002FSKILL.md",[489],{"categoryNo":277,"categoryName":278,"taxonomyType":11,"taxonomyTypeDesc":12},[491,309,492,493,494,495,496,497,221,498,499,500,460,346,461,268,501],"agent sort","library","plan","parallel","Rules","repo","install","evidence","hooks","daily","bundle",{"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":232},"01M6DB0S125VVD0ARSH03THERC","agent-introspection-debugging","Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fagent-introspection-debugging\u002FSKILL.md",[508],{"categoryNo":277,"categoryName":278,"taxonomyType":11,"taxonomyTypeDesc":12},[510,511,512,513,514,515,246,516,517,518,519],"debugging","introspection","agent introspection debugging","ai agent","workflow","recovery","reports","self","structured","diagnosis",{"skillNo":521,"name":522,"nameZh":18,"description":523,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":524,"categories":525,"keywords":530,"publishedAt":232},"01M6DB0PJFF1PKMRFVBXFNJQNG","agent-harness-construction","Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fagent-harness-construction\u002FSKILL.md",[526,529],{"categoryNo":527,"categoryName":528,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":277,"categoryName":278,"taxonomyType":11,"taxonomyTypeDesc":12},[531,532,533,534,513,262,535,536],"harness","agent harness","agent harness construction","design","optimize","formatting",{"skillNo":538,"name":539,"nameZh":18,"description":540,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":541,"categories":542,"keywords":544,"publishedAt":232},"01M6DB0KWMB9HP954P067GYNVB","agent-as-judge","Advisory, evidence-citing Agent-as-a-Judge. Use for a second opinion on whether a completion meets its Definition of Done AFTER the deterministic verification cluster (typed receipts, fail-first, execution-consensus, golden-journey oracle) ran - decomposes the DoD into falsifiable YES\u002FNO items, cites evidence per item, scores on ICD-203. 100% ADVISORY\u002FSHADOW, never blocks. NOT a done-gate.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fagent-as-judge\u002FSKILL.md",[543],{"categoryNo":277,"categoryName":278,"taxonomyType":11,"taxonomyTypeDesc":12},[349,545,546,547,548,549,417,550,551,552,221,553,498,554,555,556,227,557,558],"agent as judge","oracle","definition of done","second opinion","verification","first","receipts","consensus","never","Shadow","gate","journey","done","advisory",{"skillNo":560,"name":561,"nameZh":18,"description":562,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":563,"categories":564,"keywords":566,"publishedAt":232},"01M6DB0H9D595BJZTZHWXSNK72","agent-architecture-audit","Use when agent architecture audit is needed. Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fagent-architecture-audit\u002FSKILL.md",[565],{"categoryNo":277,"categoryName":278,"taxonomyType":11,"taxonomyTypeDesc":12},[455,567,568,569,453,283,570,373,550,476,571,262,432,436,220,572,221,399,573,574],"audit","agent architecture","agent architecture audit","severity","stack","write","repair","pollution",10587,18]