[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"creator:01M6HWVFPNGNR5N2CX9ECSAD57":3,"creator-list:01M6HWVFPNGNR5N2CX9ECSAD57:stars:1:":22},{"accountNo":4,"login":5,"displayName":6,"avatarUrl":7,"accountType":8,"accountTypeDesc":9,"profileDescription":10,"skillCount":11,"repoCount":12,"professionCount":13,"scenarioCount":14,"totalStars":15,"updatedAt":16,"htmlUrl":17,"blogUrl":18,"company":19,"location":20,"followersCount":12,"publicReposCount":21},"01M6HWVFPNGNR5N2CX9ECSAD57","agency-black","agencia.black","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F234862658?v=4","ORGANIZATION","组织","Las grandes ideas merecen una ejecución impecable. Construimos plataformas web, aplicaciones y ecosistemas digitales completos. Esta Trinidad es nuestro dogma.",425,1,10,7,0,"2026-05-29 16:13:55","https:\u002F\u002Fgithub.com\u002Fagency-black","http:\u002F\u002Fwww.dogma.black",null,"México",138,{"records":23,"total":11,"current":12,"size":459},[24,55,86,116,141,166,187,206,231,250,282,305,325,345,372,393,419,440],{"skillNo":25,"name":26,"nameZh":19,"description":27,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":31,"categories":32,"keywords":33,"publishedAt":54},"01M71JZVZ0TVW7Z5DQBRWSBG8A","zarr-python","Chunked N-D arrays for cloud storage (Zarr-Python 3). Compressed arrays, parallel I\u002FO, S3\u002FGCS via fsspec, NumPy\u002FDask\u002FXarray compatible, for large-scale scientific computing pipelines.","agency-black\u002FSkills","01M719WF77BF3HN0N9FK1APEFY","MIT","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fzarr-python\u002FSKILL.md",[],[34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53],"zarr python","python","zarr","arrays","Cloud Storage","remote","workflows","scientific","read","write","edit","parallel","dask","for","s3fs","use","numpy","s3","scientific computing","scale","2026-11-10 10:12:30",{"skillNo":56,"name":57,"nameZh":19,"description":58,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":59,"sourceHtmlUrl":60,"categories":61,"keywords":67,"publishedAt":54},"01M71JYXC5VAEJT8KXN5GRK32S","xvary-stock-research","Thesis-driven equity analysis from public SEC EDGAR and market data; \u002Fanalyze, \u002Fscore, \u002Fcompare workflows with bundled Python tools (Claude Code, Cursor, Codex).","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fxvary-stock-research\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fxvary-stock-research\u002FSKILL.md",[62],{"categoryNo":63,"categoryName":64,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[68,69,70,71,72,73,74,35,75,40,76,77,78,79,80,81,82,83,84,85],"xvary","stock","research","xvary stock research","sec edgar","community","equity","thesis","analysis","code","Market","compare","market data","analyze","with","codex","cursor","2026",{"skillNo":87,"name":88,"nameZh":19,"description":89,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":90,"licenseFileUrl":91,"sourceHtmlUrl":92,"categories":93,"keywords":100,"publishedAt":54},"01M71JVSDPDQ5040YBN6J1ASKY","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","Apache-2.0","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fwebapp-testing\u002FSKILL.md",[94,97],{"categoryNo":95,"categoryName":96,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":98,"categoryName":99,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000009","前端开发",[101,102,103,47,104,105,106,107,108,109,110,82,111,112,113,114,115],"webapp","testing","webapp testing","applications","local","frontend","debugging","toolkit","logs","browser","playwright","web","behavior","ui","screenshots",{"skillNo":117,"name":118,"nameZh":19,"description":119,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":90,"licenseFileUrl":120,"sourceHtmlUrl":121,"categories":122,"keywords":124,"publishedAt":54},"01M71JV64CW7R6FYYK9JWWGW0X","web-artifacts-builder","Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn\u002Fui). Use for complex artifacts requiring state management, routing, or shadcn\u002Fui components - not for simple single-file HTML\u002FJSX artifacts.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fweb-artifacts-builder\u002FSKILL.md",[123],{"categoryNo":98,"categoryName":99,"taxonomyType":65,"taxonomyTypeDesc":66},[125,126,127,112,128,129,130,47,131,132,106,133,49,134,135,136,137,138,139,140],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"skillNo":142,"name":143,"nameZh":19,"description":144,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":145,"categories":146,"keywords":148,"publishedAt":54},"01M71JS4X2FRY41DE84DEP06MN","vercel-react-view-transitions","Guide for implementing smooth, native-feeling animations using React's View Transition API (`\u003CViewTransition>` component, `addTransitionType`, and CSS view transition pseudo-elements). Use this skill whenever the user wants to add page transitions, animate route changes, create shared element animations, animate enter\u002Fexit of components, animate list reorder, implement directional (forward\u002Fback) navigation animations, or integrate view transitions in Next.js. Also use when the user mentions view transitions, `startViewTransition`, `ViewTransition`, transition types, or asks about animating between UI states in React without third-party animation libraries.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fvercel-react-view-transitions\u002FSKILL.md",[147],{"categoryNo":98,"categoryName":99,"taxonomyType":65,"taxonomyTypeDesc":66},[136,149,150,151,152,153,154,155,156,130,157,158,159,160,161,135,162,163,164,165],"vercel react view transitions","view","react view transitions","vercel","transitions","shared","back","Animation","types","states","element","implementing","when","api","route","create","libraries",{"skillNo":167,"name":168,"nameZh":19,"description":169,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":170,"categories":171,"keywords":173,"publishedAt":54},"01M71JS1WZ1J4F9YVC2203JBJW","vercel-react-native-skills","React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fvercel-react-native-skills\u002FSKILL.md",[172],{"categoryNo":98,"categoryName":99,"taxonomyType":65,"taxonomyTypeDesc":66},[152,174,136,175,176,177,178,179,180,47,181,160,182,49,183,184,161,185,186,135],"vercel react native skills","react native","native","react native skills","modules","platform","animations","performance","triggers","react native components","apps","best practices","tasks",{"skillNo":188,"name":189,"nameZh":19,"description":190,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":191,"categories":192,"keywords":194,"publishedAt":54},"01M71JRYNZ9RH5ECK2WGMSFM7X","vercel-react-best-practices","React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React\u002FNext.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fvercel-react-best-practices\u002FSKILL.md",[193],{"categoryNo":98,"categoryName":99,"taxonomyType":65,"taxonomyTypeDesc":66},[136,195,196,152,185,181,197,161,77,186,135,198,199,200,201,202,203,204,205,182],"react best practices","vercel react best practices","writing","data fetching","react components","next","refactoring","data","patterns","Optimization","guidelines",{"skillNo":207,"name":208,"nameZh":19,"description":209,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":210,"categories":211,"keywords":215,"publishedAt":54},"01M71JRMKWEX0NSXKR70GRDJTZ","vercel-deploy","Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as \"Deploy my app\", \"Deploy this to production\", \"Create a preview deployment\", \"Deploy and give me the link\", or \"Push this live\". No authentication required - returns preview URL and claimable deployment link.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fvercel-deploy\u002FSKILL.md",[212],{"categoryNo":213,"categoryName":214,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000011","运维与部署",[152,216,217,218,219,220,221,222,223,224,225,104,226,49,161,227,228,164,229,230],"vercel deploy","deploy","app","as","push","preview url","development","deployment","actions","authentication","agent-skills","URL","preview","me","github",{"skillNo":232,"name":233,"nameZh":19,"description":234,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":235,"categories":236,"keywords":238,"publishedAt":54},"01M71JRHPKQ10N2MY4VQM4BHYQ","vercel-composition-patterns","React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fvercel-composition-patterns\u002FSKILL.md",[237],{"categoryNo":98,"categoryName":99,"taxonomyType":65,"taxonomyTypeDesc":66},[239,152,240,203,241,242,243,244,182,245,246,49,161,247,186,135,248,249,162,136],"Composition","composition patterns","vercel composition patterns","react composition patterns","react 19","render","boolean","component architecture","reusable","architecture","react composition",{"skillNo":251,"name":252,"nameZh":19,"description":253,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":254,"categories":255,"keywords":268,"publishedAt":54},"01M71JR51XHGJE800MJK717T5F","venue-templates","Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fvenue-templates\u002FSKILL.md",[256,259,260,263],{"categoryNo":257,"categoryName":258,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":63,"categoryName":64,"taxonomyType":65,"taxonomyTypeDesc":66},{"categoryNo":261,"categoryName":262,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":264,"categoryName":265,"taxonomyType":266,"taxonomyTypeDesc":267},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[269,270,271,272,273,274,161,275,276,277,41,42,43,44,278,279,280,47,281,205],"venue templates","templates","nature","papers","journal","access","Bash","journal submission","plos","formatting","Publication","proposals","submission",{"skillNo":283,"name":284,"nameZh":19,"description":285,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":286,"categories":287,"keywords":291,"publishedAt":54},"01M71JQ9SGBC5393M0SQ9BRNJN","vaex","Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV\u002FHDF5\u002FArrow\u002FParquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fvaex\u002FSKILL.md",[288],{"categoryNo":289,"categoryName":290,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000013","分析与可视化",[284,292,293,294,295,296,161,275,297,298,164,299,300,301,42,43,302,44,303,304],"visualization","processing","memory","files","uv","statistics","in memory","work","dataframe","at","Evaluation","install","analyzing",{"skillNo":306,"name":307,"nameZh":19,"description":308,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":309,"categories":310,"keywords":314,"publishedAt":54},"01M71JPMDPBVWA56PRRZCN6W14","usfiscaldata","Query the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fusfiscaldata\u002FSKILL.md",[311],{"categoryNo":312,"categoryName":313,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000010","后端与接口",[307,315,47,316,317,318,49,319,275,297,162,320,321,322,323,324,42,43,44,202],"spending","government","daily","exchange rates","query","treasury","REST","exchange","revenue","rest api",{"skillNo":326,"name":327,"nameZh":19,"description":328,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":329,"categories":330,"keywords":333,"publishedAt":54},"01M71JPAXMKQ1MMYRN588K5DWB","unslop","Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Funslop\u002FSKILL.md",[331,332],{"categoryNo":257,"categoryName":258,"taxonomyType":65,"taxonomyTypeDesc":66},{"categoryNo":264,"categoryName":265,"taxonomyType":266,"taxonomyTypeDesc":267},[327,73,293,334,335,197,77,336,337,85,338,203,339,340,341,342,343,344,83,230],"main","generated","text","cli","safe","gemini","license","publishing","codex-cli","antigravity","post",{"skillNo":346,"name":347,"nameZh":19,"description":348,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":349,"categories":350,"keywords":357,"publishedAt":54},"01M71JKN4SDNJDFV8XS76Z5Q3Y","treatment-plans","Generate concise (3-4 page), focused medical treatment plans in LaTeX\u002FPDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, and pain management. Includes SMART goal frameworks, evidence-based interventions with minimal text citations, regulatory compliance (HIPAA), and professional formatting. Prioritizes brevity and clinical actionability.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Ftreatment-plans\u002FSKILL.md",[351,354],{"categoryNo":352,"categoryName":353,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000002","文档处理",{"categoryNo":355,"categoryName":356,"taxonomyType":266,"taxonomyTypeDesc":267},"01JBSEEDCAT000000000000037","律师与法务",[358,359,360,361,362,363,364,365,366,367,275,336,368,369,370,42,43,44,278,371],"treatment plans","plans","therapy","Citations","PDF","professional","medical","clinical","brevity","smart goal","generate","goal","mental health","evidence",{"skillNo":373,"name":374,"nameZh":19,"description":375,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":90,"licenseFileUrl":19,"sourceHtmlUrl":376,"categories":377,"keywords":378,"publishedAt":54},"01M71JKCQD7XB31JTWKBBMVNWN","transformers-js","Run Hugging Face models in JavaScript or TypeScript with Transformers.js in Node.js or the browser.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Ftransformers-js\u002FSKILL.md",[],[379,380,381,178,105,382,383,384,385,386,387,47,388,389,390,230,391,392,334,274],"js","Transformers","transformers js","webgpu","internet","unknown","run","typescript","hugging face","learning","es","HuggingFace","models","hub",{"skillNo":394,"name":395,"nameZh":19,"description":396,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":397,"categories":398,"keywords":402,"publishedAt":54},"01M71JK1CK5MS5KGJH0R98DN3H","torch-geometric","PyTorch Geometric (PyG) for graph neural networks — node\u002Flink\u002Fgraph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Ftorch-geometric\u002FSKILL.md",[399],{"categoryNo":400,"categoryName":401,"taxonomyType":266,"taxonomyTypeDesc":267},"01JBSEEDCAT000000000000033","数据分析师",[403,404,405,406,161,407,408,409,410,202,411,412,413,414,415,47,416,35,417,418],"torch geometric","neural networks","pytorch","sampling","message","lib","node","gin","analytics","org","graph","graph neural networks","cluster","networks","general","classification",{"skillNo":420,"name":421,"nameZh":19,"description":422,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":423,"categories":424,"keywords":428,"publishedAt":54},"01M71JJMTCGHAZB68HJCMTV1W6","tokenwise","Measurement-driven model router for Claude Code. Routes Haiku\u002FSonnet\u002FOpus per task class, logs every routed task with real $ numbers, and A\u002FB tests cheaper tiers before you trust the savings.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Ftokenwise\u002FSKILL.md",[425],{"categoryNo":426,"categoryName":427,"taxonomyType":266,"taxonomyTypeDesc":267},"01JBSEEDCAT000000000000030","开发工程师",[421,429,73,430,431,432,433,47,204,102,340,434,435,334,436,437,77,109,438,439],"measurement","trust","developer-tools","model router","model","tests","token-optimization","critical","you","task","router",{"skillNo":441,"name":442,"nameZh":19,"description":443,"descriptionZh":19,"repositoryFullName":28,"ownerLogin":5,"ownerAvatarUrl":7,"ownerAccountNo":4,"ownerDisplayName":6,"repositoryNo":29,"starsCount":15,"licenseSpdxId":30,"licenseFileUrl":19,"sourceHtmlUrl":444,"categories":445,"keywords":446,"publishedAt":54},"01M71JJFNB0H3MC6RKV1ER5XS8","to-spring-or-not-to-spring","Audit animation code for correct timing function selection. Use when reviewing motion implementations, debugging animations that feel wrong, or choosing between springs and easing. Outputs file:line findings.","https:\u002F\u002Fgithub.com\u002Fagency-black\u002FSkills\u002Fblob\u002Fmain\u002Fto-spring-or-not-to-spring\u002FSKILL.md",[],[447,448,156,449,107,161,77,450,451,452,180,47,453,454,455,456,49,134,457,458],"to spring or not to spring","spring","selection","springs","audit","line","timing","correct","outputs","motion","index","Wrong",18]