[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71JD4F71H0FQ9QJTF9SXFTS":3,"skill-same:01M71JD4F71H0FQ9QJTF9SXFTS":68},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":46,"commitSha":47,"skillDirectory":48,"forksCount":49,"repositoryHtmlUrl":50,"repositoryHomepageUrl":51,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M71JD4F71H0FQ9QJTF9SXFTS","latency-critical-systems",null,"Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50\u002Fp95\u002Fp99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks. Use when p95 latency, throughput, or data freshness matters.","marshadgani\u002FArshad.AI","marshadgani","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F275367399?v=4","01M71G2BP4YMZ4AX5YY0QBHAZH","01M71G2BPPHHFRMHQAKJTZPGK4",1,"MIT","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Feverything-claude-code\u002Flatency-critical-systems\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"latency critical systems","critical","systems","latency","verify","optimize","streaming","market data","realtime","Market","Bash","when","use","data feeds","execution","depth","gateways","feeds","running","age","2026-11-10 10:12:30",false,"---\nname: latency-critical-systems\ndescription: Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50\u002Fp95\u002Fp99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks. Use when p95 latency, throughput, or data freshness matters.\nlicense: MIT\nmetadata:\n  origin: ECC\ntools: Read, Write, Edit, Bash, Grep, Glob\n---\n\n# Latency Critical Systems\n\nUse this skill when the user cares about realtime behavior, hot paths, streaming\nfreshness, or execution speed. This includes HFT-like infrastructure, but the\nskill is engineering-focused. It does not authorize live trading or financial\nadvice.\n\n## Split The Metrics\n\nDo not collapse everything into \"fast.\" Track:\n\n- p50, p95, and p99 latency;\n- throughput;\n- freshness age;\n- queue depth;\n- cache hit rate;\n- provider\u002FAPI response time;\n- browser render time;\n- correctness under load;\n- failure and retry behavior.\n\n## Map The Hot Path\n\nWrite the path from user\u002Fevent to final visible state:\n\n```text\nsource event -> provider API -> ingest worker -> queue -> cache -> edge route\n-> client stream -> browser render -> user-visible state\n```\n\nThen measure each segment separately.\n\n## Optimization Order\n\n1. Remove unnecessary round trips.\n2. Cache stable reads with freshness metadata.\n3. Batch small calls and writes.\n4. Move compute closer to the data or the user.\n5. Split hot and cold paths.\n6. Apply backpressure before queues grow unbounded.\n7. Use streaming only when it improves freshness or user experience.\n8. Add canaries for stale data, degraded providers, and bad cache state.\n\n## Verification\n\nUse live readbacks when a deployed surface exists:\n\n- HTTP timing and response headers;\n- provider freshness timestamp;\n- queue or job state;\n- edge\u002Fcache state;\n- browser verification for actual UI freshness;\n- logs around retries and degraded mode.\n\nFor market-data or execution-adjacent paths, also verify orderbook age, VWAP\nassumptions, provider status, and kill-switch behavior before calling the path\nready.\n\n## Guardrails\n\n- Do not optimize latency by dropping required validation.\n- Do not hide stale data behind fast cache hits.\n- Do not claim millisecond behavior from client labels without measurement.\n- Do not run live orders, destructive migrations, or customer-impacting deploys\n  without an explicit approval gate.\n- Keep secrets and private payloads out of logs and benchmark artifacts.\n","# Latency Critical Systems\n\nUse this skill when the user cares about realtime behavior, hot paths, streaming\nfreshness, or execution speed. This includes HFT-like infrastructure, but the\nskill is engineering-focused. It does not authorize live trading or financial\nadvice.\n\n## Split The Metrics\n\nDo not collapse everything into \"fast.\" Track:\n\n- p50, p95, and p99 latency;\n- throughput;\n- freshness age;\n- queue depth;\n- cache hit rate;\n- provider\u002FAPI response time;\n- browser render time;\n- correctness under load;\n- failure and retry behavior.\n\n## Map The Hot Path\n\nWrite the path from user\u002Fevent to final visible state:\n\n```text\nsource event -> provider API -> ingest worker -> queue -> cache -> edge route\n-> client stream -> browser render -> user-visible state\n```\n\nThen measure each segment separately.\n\n## Optimization Order\n\n1. Remove unnecessary round trips.\n2. Cache stable reads with freshness metadata.\n3. Batch small calls and writes.\n4. Move compute closer to the data or the user.\n5. Split hot and cold paths.\n6. Apply backpressure before queues grow unbounded.\n7. Use streaming only when it improves freshness or user experience.\n8. Add canaries for stale data, degraded providers, and bad cache state.\n\n## Verification\n\nUse live readbacks when a deployed surface exists:\n\n- HTTP timing and response headers;\n- provider freshness timestamp;\n- queue or job state;\n- edge\u002Fcache state;\n- browser verification for actual UI freshness;\n- logs around retries and degraded mode.\n\nFor market-data or execution-adjacent paths, also verify orderbook age, VWAP\nassumptions, provider status, and kill-switch behavior before calling the path\nready.\n\n## Guardrails\n\n- Do not optimize latency by dropping required validation.\n- Do not hide stale data behind fast cache hits.\n- Do not claim millisecond behavior from client labels without measurement.\n- Do not run live orders, destructive migrations, or customer-impacting deploys\n  without an explicit approval gate.\n- Keep secrets and private payloads out of logs and benchmark artifacts.\n",{"name":5,"tools":43,"license":14,"metadata":44,"description":7},"Read, Write, Edit, Bash, Grep, Glob",{"origin":45},"ECC","claude\u002Fai-personal-assistant-main","fb33f7f5b3a206eb019c788e3c48e91c02ccb1f9",".claude\u002Fskills\u002Feverything-claude-code\u002Flatency-critical-systems",0,"https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI","https:\u002F\u002Farshad-ai-seven.vercel.app","https:\u002F\u002Fgithub.com\u002Fmarshadgani","2026-11-02 00:51:35",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add marshadgani\u002FArshad.AI --skill latency-critical-systems",{"tool":60,"command":61},"bunx","bunx skills add marshadgani\u002FArshad.AI --skill latency-critical-systems",{"tool":63,"command":64},"pnpm","pnpm dlx skills add marshadgani\u002FArshad.AI --skill latency-critical-systems","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Feverything-claude-code\u002Flatency-critical-systems\u002FSKILL.md",true,[],[69,104,129,160,190,214],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":73,"licenseFileUrl":74,"sourceHtmlUrl":75,"categories":76,"keywords":85,"publishedAt":103},"01M71MVWH15PQRS9KT3J24D7WV","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\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fwebapp-testing\u002FSKILL.md",[77,82],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000008","测试与质量","SCENARIO","使用场景",{"categoryNo":83,"categoryName":84,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000009","前端开发",[86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102],"webapp","testing","webapp testing","for","applications","local","frontend","debugging","toolkit","logs","browser","with","playwright","web","behavior","ui","screenshots","2026-11-10 10:56:23",{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":73,"licenseFileUrl":108,"sourceHtmlUrl":109,"categories":110,"keywords":112,"publishedAt":103},"01M71MVMAZ1J606SGA4JPHRDAZ","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\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fweb-artifacts-builder\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fweb-artifacts-builder\u002FSKILL.md",[111],{"categoryNo":83,"categoryName":84,"taxonomyType":80,"taxonomyTypeDesc":81},[113,114,115,99,116,117,118,89,119,120,92,121,30,122,123,124,125,126,127,128],"builder","artifacts builder","artifacts","web artifacts builder","single-file","css","Tailwind","ui components","single","file","components","react","multi","state","routing","state management",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":133,"sourceHtmlUrl":134,"categories":135,"keywords":144,"publishedAt":103},"01M71MSTFAEYT9J9GA587SP3RB","ui-styling","Create beautiful, accessible user interfaces with shadcn\u002Fui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fui-styling\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fui-styling\u002FSKILL.md",[136,139],{"categoryNo":137,"categoryName":138,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[145,146,101,118,119,147,148,149,150,151,152,153,29,123,154,155,156,157,158,159],"ui styling","styling","mode","canvas","implementing","design","themes","utility","design systems","across","create","component","layout","forms","patterns",{"skillNo":161,"name":150,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":173,"publishedAt":103},"01M71MSM72HXKQRCY5D45WYPNP","Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social\u002Fads\u002Fweb\u002Fprint), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fdesign\u002FSKILL.md",[165,168,169,172],{"categoryNo":166,"categoryName":167,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":137,"categoryName":138,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":170,"categoryName":171,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},[150,174,175,176,145,177,178,179,180,155,181,182,183,184,185,186,187,188,101,189],"Media","tiktok","actions","logo","logo generation","chart","multi-platform","ads","youtube","generate","presentations","google","atlas cloud","screenshot","muapi","identity",{"skillNo":191,"name":192,"nameZh":6,"description":193,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":194,"categories":195,"keywords":198,"publishedAt":103},"01M71MSH9T7S227MN2YSYB2EP5","design-system","Token architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing\u002Ftypography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fdesign-system\u002FSKILL.md",[196,197],{"categoryNo":137,"categoryName":138,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},[150,199,200,118,201,202,203,204,156,184,205,206,207,208,209,210,211,89,212,213],"design system","system","css variables","creation","Variables","architecture","systematic","token","spacing","layer","typography","brand","three","tokens","slide generation",{"skillNo":215,"name":216,"nameZh":6,"description":217,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":218,"categories":219,"keywords":222,"publishedAt":103},"01M71MSCFZ1HFMNBDMAFXDZV92","banner-design","Design banners for social media, ads, website heroes, creative assets, and print. Multiple art direction options with optional generated or supplied visuals. Actions: design, create, generate banner. Platforms: Facebook, Twitter\u002FX, LinkedIn, YouTube, Instagram, Google Display, website hero, print. Styles: minimalist, gradient, bold typography, photo-based, illustrated, geometric, retro, glassmorphism, 3D, neon, duotone, editorial, collage.","https:\u002F\u002Fgithub.com\u002Fmarshadgani\u002FArshad.AI\u002Fblob\u002Fclaude\u002Fai-personal-assistant-main\u002F.claude\u002Fskills\u002Fui-ux-pro-max\u002Fbanner-design\u002FSKILL.md",[220,221],{"categoryNo":137,"categoryName":138,"taxonomyType":80,"taxonomyTypeDesc":81},{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},[150,223,224,174,225,226,227,176,228,229,230,231,232,233,155,181,182,183,234,235],"banner","banner design","3D","direction","neon","Art","social","generated","hero","dimensions","display","options","website"]