[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skills:pro6":3,"skills:sce6":50,"skills:creators9":95,"skills:stats":193,"skills:all:stars:10502:":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":580,"size":581},[197,225,244,270,284,311,334,355,379,403,426,447,465,482,499,521,550,567],{"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":211,"publishedAt":224},"01M6DE5SXR6KE2HDB6B2BMRZDG","dev","Development workflows for the playwright-cli repository. Use when the user asks about rolling dependencies, releasing, or other repo maintenance tasks.","kto2myk\u002Fplaywright-cli","kto2myk","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F187358097?v=4","01M6DE5N64ZQJ0BR0D6HG70JRF","Tomoya Kanda","01M6DE5NATGVRNAQ8WGF2WF8F6",0,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fkto2myk\u002Fplaywright-cli\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fdev\u002FSKILL.md",[],[199,212,213,214,215,216,217,218,219,220,221,222,223],"cli","playwright","workflows","tasks","development","repository","repo","user","use","maintenance","dependencies","development workflows","2026-11-10 10:12:30",{"skillNo":226,"name":227,"nameZh":13,"description":228,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":236,"categories":237,"keywords":238,"publishedAt":224},"01M6DE5SCW7MT56H90WBHZJHV7","dispatching-parallel-agents","Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z","MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdispatching-parallel-agents\u002FSKILL.md",[],[239,240,241,215,242,220,222,243],"dispatching parallel agents","parallel agents","parallel","state","shared",{"skillNo":245,"name":246,"nameZh":13,"description":247,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":248,"categories":249,"keywords":253,"publishedAt":224},"01M6DE5P62KV35RRYW9BGRN6SZ","digitalocean-mcp-setup","Use when installing, validating, or troubleshooting the archived DigitalOcean MCP server for Codex, Claude, or Gemini, especially when App Platform tools or env-only token wiring need to be set up safely.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdigitalocean-mcp-setup\u002FSKILL.md",[250],{"categoryNo":251,"categoryName":252,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000023","Skill与智能体开发",[254,255,256,257,258,259,260,261,262,263,220,264,265,266,267,268,269],"MCP","setup","digitalocean mcp setup","gemini","codex","mcp server","server","SET","Tools","troubleshooting","only","up","token","platform","app","env",{"skillNo":271,"name":272,"nameZh":13,"description":273,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":274,"categories":275,"keywords":277,"publishedAt":224},"01M6DE5K8GCEYZTCRTG4SZ3VB2","digitalocean-app-platform-ops","Use when operating DigitalOcean App Platform through the archived DigitalOcean MCP server, especially for listing apps, deployments, logs, restarts, deletes, or spec validation.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdigitalocean-app-platform-ops\u002FSKILL.md",[276],{"categoryNo":251,"categoryName":252,"taxonomyType":53,"taxonomyTypeDesc":54},[278,267,268,279,254,280,259,281,282,260,220,283],"ops","digitalocean app platform ops","spec","validation","logs","deployments",{"skillNo":285,"name":286,"nameZh":13,"description":287,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":288,"categories":289,"keywords":293,"publishedAt":224},"01M6DE5FVTQD8RAG13ZJVHVRCX","diff-blind-test-synth","Use when you want an INDEPENDENT external check that a patch\u002FPR actually satisfies the spec - synthesize executable tests from ONLY the spec + public API (never the diff), then run them against the pre-patch tree (expect FAIL) and the patched tree (expect PASS). A divergence flags a spec-miss or over\u002Funder-fitted patch. Distinct from fail-first\u002Fred-proof. SHADOW mode: never blocks.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdiff-blind-test-synth\u002FSKILL.md",[290],{"categoryNo":291,"categoryName":292,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000008","测试与质量",[294,295,296,280,297,298,299,300,301,302,220,303,264,304,305,306,307,308,309,310],"test","diff","diff blind test synth","pr","run","first","api","public","check","never","patch","shadow mode","Shadow","flags","synthesize","tests","red",{"skillNo":312,"name":313,"nameZh":13,"description":314,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":315,"categories":316,"keywords":318,"publishedAt":224},"01M6DE5AMMCKFVSE8YZ7RADAYT","devtu","ToolUniverse (mims-harvard\u002FToolUniverse) development toolkit - one skill, eight sub-command modes. Use when working on ToolUniverse tools: create a new scientific\u002FAPI tool, fix a failing tool, optimize tool JSON descriptions, optimize research skills, auto-discover life-science APIs and generate integration PRs, run the debug-test loop, or push and fix CI. Each mode's playbook is under modes\u002F.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdevtu\u002FSKILL.md",[317],{"categoryNo":5,"categoryName":8,"taxonomyType":6,"taxonomyTypeDesc":7},[313,319,294,320,321,216,322,323,324,325,300,326,327,328,329,220,330,331,332,333],"research","fix ci","debug","toolkit","create","push","ci","science","loop","tool","fix","auto","optimize","discover","tooluniverse",{"skillNo":335,"name":336,"nameZh":13,"description":337,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":338,"categories":339,"keywords":341,"publishedAt":224},"01M6DE5692K5HM0B2ZT3Y1RHFQ","develop-web-game","Use when Codex is building or iterating on a web game (HTML\u002FJS) and needs a reliable development + testing loop: implement small changes, run a Playwright-based test script with short input bursts and intentional pauses, inspect screenshots\u002Ftext, and review console errors with render_game_to_text.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdevelop-web-game\u002FSKILL.md",[340],{"categoryNo":291,"categoryName":292,"taxonomyType":53,"taxonomyTypeDesc":54},[342,343,344,345,346,347,348,258,349,213,294,216,298,350,327,351,352,353,220,354],"web","develop web game","game","develop","testing","screenshots","review","implement","console","js","text","short","html",{"skillNo":356,"name":357,"nameZh":13,"description":358,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":359,"categories":360,"keywords":365,"publishedAt":224},"01M6DE52NFDNQ3GPE3HPC3J1D0","design-tokens-pipeline","Use for the W3C DTCG design-token round-trip the TCR design-review loop relies on at G5\u002FG6 - extract tokens out of code (CSS custom properties + Tailwind theme dumps) into a DTCG JSON tree, validate against the DTCG v1.0 rules that break the Tokens-Studio to Style-Dictionary round-trip, and diff two token trees to emit the forward change set AND the inverse revert patch.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdesign-tokens-pipeline\u002FSKILL.md",[361,364],{"categoryNo":362,"categoryName":363,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},[366,367,368,369,370,348,371,372,373,374,261,375,327,376,377,220,295,304,378,266],"design","pipeline","design tokens","tokens","design tokens pipeline","css","change","validate","code","Tailwind","json","Rules","properties",{"skillNo":380,"name":381,"nameZh":13,"description":382,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":383,"categories":384,"keywords":388,"publishedAt":224},"01M6DE4YR8YSH2D5SJNRCAV4YR","design-system","Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling. Emits\u002Fconsumes the single `.design\u002F` artifact contract and scores on the canonical DESIGN-EVAL v1 rubric (9 dims, 0-4) — the legacy 10-dim 0-10 visual-audit scale is RETIRED.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdesign-system\u002FSKILL.md",[385,386,387],{"categoryNo":362,"categoryName":363,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},{"categoryNo":44,"categoryName":45,"taxonomyType":6,"taxonomyTypeDesc":7},[366,389,390,348,391,392,393,394,302,395,220,396,397,398,399,400,401,402],"design system","system","generate","design systems","audit","eval","rubric","styling","Legacy","artifact","visual","contract","systems","dim",{"skillNo":404,"name":405,"nameZh":13,"description":406,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":407,"categories":408,"keywords":412,"publishedAt":224},"01M6DE4V29GYVAJP8PRGPZPGX6","design-sync","Use when design sync is needed. Push a local component library to a claude.ai\u002Fdesign design-system project incrementally — one component at a time, never a wholesale replace. Builds self-contained @dsCard preview HTML bundles, validates the card manifest, then drives the DesignSync MCP push flow.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdesign-sync\u002FSKILL.md",[409,410,411],{"categoryNo":362,"categoryName":363,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":251,"categoryName":252,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},[366,413,414,254,415,416,324,417,418,419,390,220,420,381,303,421,422,423,424,425],"sync","design sync","component","component library","flow","forge","manifest","discipline","preview","self","time","local","project",{"skillNo":427,"name":428,"nameZh":13,"description":429,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":430,"categories":431,"keywords":434,"publishedAt":224},"01M6DE4PZEFM7Y57TSHV1TBJHN","design-studio","ONE entry to the whole design pipeline over a running app (Reframe\u002Fmomentstudio\u002FWebCoder\u002Fbilbo), the mode-routed successor to design-review-loop. Runs the full TCR design-review loop (8 gates G0-G7, revert-gate) plus a mode router: direct, audit, mirror, critique, iterate, implement, verify, loop, drive, session. NOT for a design DOCUMENT (metaswarm review-design) nor rubric math (ui-audit).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdesign-studio\u002FSKILL.md",[432,433],{"categoryNo":362,"categoryName":363,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},[366,435,348,349,393,436,367,437,327,438,439,440,395,441,442,443,444,445,268,446],"design studio","ui","critique","review loop","direct","math","session","router","document","full","gates","reframe",{"skillNo":448,"name":449,"nameZh":13,"description":450,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":451,"categories":452,"keywords":455,"publishedAt":224},"01M6DE4KMQGGGZVKMNX9Z44DCN","design-studio-session","The interactive-modify capability behind `design-studio session` mode. Use when the owner wants to point at a LIVE element in a running app (Reframe, momentstudio, WebCoder, bilbo) and iteratively restyle it with Claude and Codex — preview candidates as injected style overlays FIRST, resolve the clicked element back to its source file:line, apply ONE scoped micro-commit, incrementally re-audit only the changed screen, and auto-decide KEEP or REVERT through the SAME revert-gate as the batch design-review loop. Do NOT use for a whole-app batch audit (use design-studio \u002F ui-audit) or for driving the app without modifying it (use ui-drive).","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdesign-studio-session\u002FSKILL.md",[453,454],{"categoryNo":362,"categoryName":363,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},[366,441,456,435,348,457,458,459,327,460,461,220,330,264,462,463,421,464,268,446],"design studio session","commit","batch","file","decide","interactive","do","back","as",{"skillNo":466,"name":467,"nameZh":13,"description":468,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":469,"categories":470,"keywords":473,"publishedAt":224},"01M6DE4GEEW1N5409V5P8GH117","design-review-loop","MOVED - renamed to design-studio. Redirect tombstone kept so old invocations still resolve. Use design-studio instead; it is the SAME TCR design-review loop (G0 PRIME to G7 VERIFY, revert-gate) plus a mode router (direct, audit, mirror, critique, iterate, implement, verify, loop, drive, session). Old triggers - design review, TCR loop, mirror to Figma - route to design-studio.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdesign-review-loop\u002FSKILL.md",[471,472],{"categoryNo":362,"categoryName":363,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":16,"categoryName":17,"taxonomyType":6,"taxonomyTypeDesc":7},[366,348,474,327,438,475,349,476,393,477,437,439,219,441,220,442,478,479,480,481],"design review","design review loop","figma","verify","drive","gate","route","triggers",{"skillNo":483,"name":484,"nameZh":13,"description":485,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":486,"categories":487,"keywords":488,"publishedAt":224},"01M6DE4DBCWSCBJTY0TQ2DBK2K","delegated-build-verify","Use when delegating a large build to a generator (Codex fan-out, subagents, or a Workflow) and you must independently verify the result - the \"agent builds X, then you evaluate\" pattern. Turns a converged plan\u002Fgrill into an authoritative build-spec that doubles as the evaluation rubric, fans out the generator, then verifies with an active fabrication hunt. Triggers: \"build X then evaluate\".","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdelegated-build-verify\u002FSKILL.md",[],[477,489,490,280,258,491,492,493,395,494,220,495,496,497,498,481,464],"build","delegated build verify","workflow","Evaluation","plan","subagents","grill","hunt","active","pattern",{"skillNo":500,"name":501,"nameZh":13,"description":502,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":503,"categories":504,"keywords":508,"publishedAt":224},"01M6DE4AP1E2ZQ7WXAJ5T44908","deepsource","Use when asked to retrieve DeepSource code review results — issues, vulnerabilities, report cards, coverage metrics, or analysis status ; do NOT use for running new scans outside DeepSource ; returns DeepSource findings and analysis run data.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdeepsource\u002FSKILL.md",[505],{"categoryNo":506,"categoryName":507,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000007","代码审查",[501,509,348,510,511,298,374,512,513,514,515,516,517,518,519,220,520,462],"code review","vulnerabilities","status","report","issues","metrics","data","analysis","returns","results","coverage","review results",{"skillNo":522,"name":523,"nameZh":13,"description":524,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":525,"categories":526,"keywords":531,"publishedAt":224},"01M6DE45XGNQJ99X1M2QT6C0YH","deep-research","Multi-source deep research with a routing + caching + grading harness over firecrawl, exa, tavily, perplexity, scholarly-access, tooluniverse, huggingface, and context7 MCPs. Fixes scope first via AskUserQuestion (purpose, depth, recency, output form) before any fan-out, then routes each sub-question to the best live provider, caches provider calls by query hash, grades every source by confidence, and delivers cited reports. Use when the user wants thorough, evidence-backed research.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdeep-research\u002FSKILL.md",[527,530],{"categoryNo":528,"categoryName":529,"taxonomyType":53,"taxonomyTypeDesc":54},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":251,"categoryName":252,"taxonomyType":53,"taxonomyTypeDesc":54},[319,532,533,534,535,536,537,538,539,540,220,541,542,543,544,545,546,547,548,549],"deep research","deep","tavily","routing","harness","perplexity","firecrawl","access","question","evidence","reports","provider","context7","exa","query","caching","grading","live",{"skillNo":551,"name":552,"nameZh":13,"description":553,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":554,"categories":555,"keywords":558,"publishedAt":224},"01M6DE41BHQRW7QAYRZF22110P","ddi-admet-research","Use as the front-end\u002Frouter for biomedical research via the tooluniverse MCP server (Harvard Zitnik lab, 2206 tools) - drug-drug interactions, ADMET\u002Fphyschem prediction, CYP450 enzyme roles, target research, FDA drug labels, drug repurposing, and pharmacovigilance. Routes to the detailed tooluniverse-* skills. Use when a question needs biomedical knowledge-base lookups.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fddi-admet-research\u002FSKILL.md",[556,557],{"categoryNo":528,"categoryName":529,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":251,"categoryName":252,"taxonomyType":53,"taxonomyTypeDesc":54},[319,559,254,259,260,262,560,540,220,442,561,562,563,564,565,566,464,333],"ddi admet research","knowledge","fda","base","knowledge-base","biomedical","roles","end",{"skillNo":568,"name":569,"nameZh":13,"description":570,"descriptionZh":13,"repositoryFullName":229,"ownerLogin":230,"ownerAvatarUrl":231,"ownerAccountNo":232,"ownerDisplayName":233,"repositoryNo":234,"starsCount":207,"licenseSpdxId":235,"licenseFileUrl":13,"sourceHtmlUrl":571,"categories":572,"keywords":575,"publishedAt":224},"01M6DE3W9HG3S20CPDHJBSR5A2","data-scraper-agent","Use when building an automated public-data collector that scrapes on a schedule, enriches records with an LLM, stores results, and learns from feedback.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fskills\u002Fdata-scraper-agent\u002FSKILL.md",[573,574],{"categoryNo":251,"categoryName":252,"taxonomyType":53,"taxonomyTypeDesc":54},{"categoryNo":23,"categoryName":24,"taxonomyType":6,"taxonomyTypeDesc":7},[515,576,577,578,301,518,220,579],"data scraper agent","feedback","schedule","community",10502,18]