[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:stats":3,"skills:pro6":8,"skills:sce6":55,"skills:creators9":100,"skills:all:stars:10581:":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":590,"size":591},[197,225,254,283,304,329,348,377,397,421,444,461,474,492,509,532,558,571],{"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":224},"01M6DBCYEHJAPTXT7H80HDM5T2","format-codex-sessions","Use when Codex rollout JSONL files need to be turned into readable Markdown conversations, transcripts, or chat logs without dumping raw event noise, prompt bulk, or secrets.","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\u002Fformat-codex-sessions\u002FSKILL.md",[],[212,213,214,215,216,217,218,219,220,221,222,223],"codex","sessions","format","format codex sessions","logs","secrets","markdown","prompt","use","rollout","files","chat","2026-11-10 10:12:30",{"skillNo":226,"name":227,"nameZh":18,"description":228,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":229,"categories":230,"keywords":234,"publishedAt":224},"01M6DBCTX045DZNZ7QMGJYRYRV","forge-discipline","Use when turning a named behavioral pattern (gem, fresh arXiv finding, matured instinct) into an INSTALLED, self-tested Claude Code hook in one pass. A BEHAVIOR forge, not a tool forge - it forges hooks\u002Ftripwires the harness runs deterministically, not MCP tools. Scaffolds the hook, runs a chaos self-test proving it fires and fails open on garbage, then stages it with the one-line install.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fforge-discipline\u002FSKILL.md",[231],{"categoryNo":232,"categoryName":233,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000023","Skill与智能体开发",[235,236,237,238,239,240,241,242,243,244,245,246,220,247,248,249,250,251,252,253],"forge","discipline","forge discipline","MCP","test","code","harness","mcp tools","open","tool","behavior","install","hooks","arxiv","self","pattern","chaos","fresh","gem",{"skillNo":255,"name":256,"nameZh":18,"description":257,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":258,"categories":259,"keywords":267,"publishedAt":224},"01M6DBCQP92RCXP7MGMKCKD5WM","firecrawl","Web scraping, crawling, structured extraction, site mapping, and change monitoring via the Firecrawl MCP. Use to turn URLs into clean markdown or schema-structured JSON, extract brand identity (colors, fonts, spacing), crawl or map sites, parse local PDFs\u002FOffice files, search the web with operators, or monitor pages for changes. Pairs with the Exa MCP (Exa finds by meaning, Firecrawl fetches).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Ffirecrawl\u002FSKILL.md",[260,263,266],{"categoryNo":261,"categoryName":262,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":264,"categoryName":265,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":232,"categoryName":233,"taxonomyType":58,"taxonomyTypeDesc":59},[256,238,268,269,270,271,272,218,273,274,275,220,276,222,277,278,279,280,281,282],"change","identity","monitor","search","monitoring","web scraping","brand","scraping","schema","clean","crawl","map","local","operators","pages",{"skillNo":284,"name":285,"nameZh":18,"description":286,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":287,"categories":288,"keywords":289,"publishedAt":224},"01M6DBCN4V0DFMVH7WQMQ36YDJ","finishing-a-development-branch","Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Ffinishing-a-development-branch\u002FSKILL.md",[],[290,291,292,293,294,295,296,297,298,220,299,300,301,302,303],"finishing a development branch","development","branch","merge","pr","cleanup","how","work","decide","integrate","implementation","options","structured","tests",{"skillNo":305,"name":306,"nameZh":18,"description":307,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":308,"categories":309,"keywords":312,"publishedAt":224},"01M6DBCJ6NTXX56RJZYD0H796P","figma","Use when fetching Figma design context, screenshots, variables, or assets via the Figma MCP server, or when setting up and troubleshooting the Figma MCP connection ; do NOT use for pixel-perfect full-component implementation from Figma nodes (use figma-implement-design) ; returns Figma design data and MCP setup guidance.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Ffigma\u002FSKILL.md",[310,311],{"categoryNo":232,"categoryName":233,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},[306,313,238,314,315,316,317,318,319,320,321,322,220,323,300,324,325,326,327,328],"design","mcp server","implement","component","setup","server","data","troubleshooting","assets","context","up","Nodes","guidance","do","pixel","full",{"skillNo":330,"name":331,"nameZh":18,"description":332,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":333,"categories":334,"keywords":338,"publishedAt":224},"01M6DBCERYKFQEHRCXW6RSB804","figma-implement-design","Use when the user provides Figma URLs or node IDs and needs production-ready code with pixel-perfect 1:1 fidelity to the design, translating Figma components into project-convention code via the Figma MCP ; do NOT use for generic Figma data fetching or MCP setup (use figma) ; returns implemented component code matching Figma specs.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Ffigma-implement-design\u002FSKILL.md",[335,336,337],{"categoryNo":261,"categoryName":262,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":232,"categoryName":233,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},[313,315,339,306,238,340,316,317,240,319,341,342,343,344,220,345,326,327,346,347],"figma implement design","components","Production","ids","returns","node","ready","project","matching",{"skillNo":349,"name":350,"nameZh":18,"description":351,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":352,"categories":353,"keywords":358,"publishedAt":224},"01M6DBCC58YASF78VYMMZXWK3V","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.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Ffal-ai-media\u002FSKILL.md",[354,357],{"categoryNo":355,"categoryName":356,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":232,"categoryName":233,"taxonomyType":58,"taxonomyTypeDesc":59},[359,360,361,238,362,363,364,365,366,367,368,369,370,220,371,372,373,374,375,376],"Media","fal ai media","fal","image","generate","speech","Text-to-Image","CSM","Video","Audio","text","user","images","nano banana","veo","banana","generation","media generation",{"skillNo":378,"name":379,"nameZh":18,"description":380,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":381,"categories":382,"keywords":388,"publishedAt":224},"01M6DBC9ZN1B55AZFBC7BMXYME","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\u002F.agents\u002Fskills\u002Ffaculty-course-design-evidence\u002FSKILL.md",[383,384,385],{"categoryNo":261,"categoryName":262,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":21,"categoryName":22,"taxonomyType":11,"taxonomyTypeDesc":12},{"categoryNo":386,"categoryName":387,"taxonomyType":11,"taxonomyTypeDesc":12},"01JBSEEDCAT000000000000039","教师与教育",[313,389,390,391,392,393,220,394,395,396],"evidence","faculty course design evidence","assessment","learning","syllabus","alignment","structure","module",{"skillNo":398,"name":399,"nameZh":18,"description":400,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":401,"categories":402,"keywords":404,"publishedAt":224},"01M6DBC7EYANJJ6M7E261F9FY6","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\u002F.agents\u002Fskills\u002Ffable-safe-prompt\u002FSKILL.md",[403],{"categoryNo":232,"categoryName":233,"taxonomyType":58,"taxonomyTypeDesc":59},[405,219,406,155,212,407,408,409,410,411,412,245,413,414,415,416,417,418,419,420],"safe","fable safe prompt","policy","license","https","Guardrails","false-positive","Safety","prompts","agent-behavior","community","intent","main","prompting","triggers","false",{"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":427,"publishedAt":224},"01M6DBC3Z42T7VJFCH2J76MX2Y","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\u002F.agents\u002Fskills\u002Fexecution-grounded-bon\u002FSKILL.md",[],[428,429,239,430,431,432,433,434,220,435,436,437,389,438,439,440,441,442,443,303],"execution","execution grounded bon","first","model","select","pick","consensus","diff","never","only","patch","log","observe","diverge","task","synthesize",{"skillNo":445,"name":446,"nameZh":18,"description":447,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":448,"categories":449,"keywords":450,"publishedAt":224},"01M6DBC1DKY577S97N72GB68KJ","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\u002F.agents\u002Fskills\u002Fexecuting-plans\u002FSKILL.md",[],[451,452,453,454,291,455,456,457,458,343,370,459,220,300,326,460],"executing plans","plans","review","tasks","batch","plan","subagent","parallel","session","driven",{"skillNo":462,"name":463,"nameZh":18,"description":464,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":465,"categories":466,"keywords":467,"publishedAt":224},"01M6DBBYZZ9W3Z1BV2PXR4MPAX","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\u002F.agents\u002Fskills\u002Fevidence-ledger-synthesis\u002FSKILL.md",[],[389,468,469,470,453,370,220,471,472,473],"Synthesis","evidence ledger synthesis","writing","claim","memo","paper",{"skillNo":475,"name":476,"nameZh":18,"description":477,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":478,"categories":479,"keywords":480,"publishedAt":224},"01M6DBBWJJZM74QE7AWYTMWHPA","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\u002F.agents\u002Fskills\u002Feval-harness\u002FSKILL.md",[],[241,481,482,213,483,291,240,484,485,486,487,488,489,490,491,460],"eval harness","eval","evaluation framework","framework","Evaluation","claude code sessions","Bash","grep","read","write","edit",{"skillNo":493,"name":494,"nameZh":18,"description":495,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":496,"categories":497,"keywords":498,"publishedAt":224},"01M6DBBSTFQTQ899AXKYXR5DNN","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\u002F.agents\u002Fskills\u002Festate-sync\u002FSKILL.md",[],[499,500,407,501,502,503,504,297,505,220,506,323,507,508],"sync","estate sync","bootstrap","vm","file","audit","repo","reconcile","credential","across",{"skillNo":510,"name":511,"nameZh":18,"description":512,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":513,"categories":514,"keywords":516,"publishedAt":224},"01M6DBBPRYHRB9KJ5FQ8ZACJ1D","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\u002F.agents\u002Fskills\u002Festate-offensive-doctrine\u002FSKILL.md",[515],{"categoryNo":264,"categoryName":265,"taxonomyType":58,"taxonomyTypeDesc":59},[517,518,519,391,503,520,521,522,523,524,525,526,527,297,489,528,529,530,507,531],"doctrine","estate offensive doctrine","research","operator","red-team","offensive-security","integrity","team","access","Rules","just","auto","engagement","security assessment","as",{"skillNo":533,"name":534,"nameZh":18,"description":535,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":536,"categories":537,"keywords":544,"publishedAt":224},"01M6DBBMDM271G5NJMNHJCJM4E","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\u002F.agents\u002Fskills\u002Fe2e-testing\u002FSKILL.md",[538,541],{"categoryNo":539,"categoryName":540,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":542,"categoryName":543,"taxonomyType":58,"taxonomyTypeDesc":59},"01JBSEEDCAT000000000000011","运维与部署",[545,546,547,548,549,550,551,431,552,220,553,554,555,556,303,557],"testing","e2e testing","e2e","playwright","config","artifacts","ci","page","webapp","patterns","cd","live","app",{"skillNo":559,"name":560,"nameZh":18,"description":561,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":562,"categories":563,"keywords":565,"publishedAt":224},"01M6DBBHV7RVKD4M0VSWBP8717","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\u002F.agents\u002Fskills\u002Fdump-to-signature-workflow\u002FSKILL.md",[564],{"categoryNo":232,"categoryName":233,"taxonomyType":58,"taxonomyTypeDesc":59},[566,567,213,550,568,220,389,554,569,508,570],"workflow","dump to signature workflow","debugger","signatures","runtime",{"skillNo":572,"name":573,"nameZh":18,"description":574,"descriptionZh":18,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":205,"repositoryNo":206,"starsCount":207,"licenseSpdxId":208,"licenseFileUrl":18,"sourceHtmlUrl":575,"categories":576,"keywords":579,"publishedAt":224},"01M6DBBEZ150AXCPK3WX77RB2K","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\u002F.agents\u002Fskills\u002Fdrug-discovery-literature-bridge\u002FSKILL.md",[577,578],{"categoryNo":264,"categoryName":265,"taxonomyType":58,"taxonomyTypeDesc":59},{"categoryNo":232,"categoryName":233,"taxonomyType":58,"taxonomyTypeDesc":59},[580,581,582,238,583,584,585,586,525,587,322,220,588,589,473],"discovery","bridge","drug discovery literature bridge","validation","Tools","provenance","rdkit","stack","seed","clinical",10581,18]