[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JD7WS80WT0280CDDKBFJY8":3,"skill-same:01M6JD7WS80WT0280CDDKBFJY8":67},{"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":45,"commitSha":46,"skillDirectory":47,"forksCount":48,"repositoryHtmlUrl":49,"repositoryHomepageUrl":50,"ownerHtmlUrl":51,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":52,"install":53,"resources":66},"01M6JD7WS80WT0280CDDKBFJY8","latency-critical-systems",null,"Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.","S3YED\u002Fappie-kit","S3YED","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F62743867?v=4","01M6JBKBRRVP6KMS0VWZ27T3R6","01M6JBKBX0KG30284PW1DBYJT1",14,"MIT","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fecc\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","use","for","market data","hft","as","Market","realtime","edit","write","read","grep","Bash","execution","data","gateways","streaming","2026-11-10 10:12:30",false,"---\nname: latency-critical-systems\ndescription: Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.\norigin: 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,"origin":44,"description":7},"Read, Write, Edit, Bash, Grep, Glob","ECC","master","8ec37df6d71fb664ea19d32c079e7d3ff931a8e0","skills\u002Fecc\u002Flatency-critical-systems",3,"https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit","https:\u002F\u002Fweblyfe.ai","https:\u002F\u002Fgithub.com\u002FS3YED","2026-08-27 01:54:02",{"source":8,"skillName":5,"commands":54,"prompt":64,"zipAvailable":65},[55,58,61],{"tool":56,"command":57},"npx","npx skills add S3YED\u002Fappie-kit --skill latency-critical-systems",{"tool":59,"command":60},"bunx","bunx skills add S3YED\u002Fappie-kit --skill latency-critical-systems",{"tool":62,"command":63},"pnpm","pnpm dlx skills add S3YED\u002Fappie-kit --skill latency-critical-systems","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fecc\u002Flatency-critical-systems\u002FSKILL.md",true,[],[68,104,139,162,193,217],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":72,"categories":73,"keywords":85,"publishedAt":38},"01M6JFD4M6N4DSGC7TXEJ5R3J2","ai-music","AI music generation and audio tools: HeartMuLa lyrics-to-music generation, songwriting craft (+ Suno prompts), and audio spectrogram\u002Ffeature visualization.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fwethlete\u002Fai-music\u002FSKILL.md",[74,79,82],{"categoryNo":75,"categoryName":76,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":80,"categoryName":81,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":83,"categoryName":84,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000023","Skill与智能体开发",[86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103],"music","ai music","humanizer","visualization","Tools","Audio","hermes","hermes agent","songwriting","suno","lyrics","prompts","heartmula","craft","generation","feature","ai music generation","music generation",{"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":14,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":118,"publishedAt":38},"01M6JFCZE4XNFQFMNZDHKHT5V5","agentic-webdesign-design-system-ingestion","Use v0 Design Systems 2.0, Bolt Design System Agents, or Lovable to generate production UI from a client's real design system components — not generic Tailwind. Use when building a client website where brand consistency matters.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fweb-design\u002Fagentic-webdesign-design-system-ingestion\u002FSKILL.md",[110,113],{"categoryNo":111,"categoryName":112,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138],"design","agentic","design system","system","ingestion","webdesign","agentic webdesign design system ingestion","components","generate","design systems","website","ui","Tailwind","bolt","lovable","v0","design-system","wed","design system components","appie",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":147,"publishedAt":38},"01M6JFCVPX3913CFAS6QQJ33ZB","agentic-webdesign-agent-elements","Use 21st.dev Agent Elements — 25 shadcn\u002Fui components purpose-built for AI agent UIs. Tool cards (Bash, Edit, Search, Plan, Subagent, MCP), chat, input, streaming. Open source, shadcn-registry install, no runtime lock-in.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fweb-design\u002Fagentic-webdesign-agent-elements\u002FSKILL.md",[145,146],{"categoryNo":83,"categoryName":84,"taxonomyType":77,"taxonomyTypeDesc":78},{"categoryNo":114,"categoryName":115,"taxonomyType":116,"taxonomyTypeDesc":117},[120,148,124,149,150,151,126,152,153,37,154,155,33,156,157,29,158,159,160,161],"elements","agentic webdesign agent elements","MCP","ai agent","registry","search","open source","open","plan","subagent","install","input","lock","source",{"skillNo":163,"name":164,"nameZh":6,"description":165,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":166,"categories":167,"keywords":172,"publishedAt":38},"01M6JFCQC7H65M9QJ6TRE71BS1","vercel-deployment","Deploy static sites and frontends to Vercel — handles both CLI and REST API paths, including the CLI token sanitization workaround.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Fvercel-deployment\u002FSKILL.md",[168,171],{"categoryNo":169,"categoryName":170,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":83,"categoryName":84,"taxonomyType":77,"taxonomyTypeDesc":78},[173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192],"deployment","vercel deployment","vercel","macos","cli","linux","windows","deploy","vercel deploy","REST","api","site","deploy to vercel","token","rest api","host","sites","paths","sanitization","static site",{"skillNo":194,"name":195,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":200,"publishedAt":38},"01M6JFCM4SMTXBM5A01BK2YQG1","software-quality-workflows","Umbrella workflow for TDD, debugging, code simplification, spikes, pre-commit review, and debugger-assisted investigation.","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Fsoftware-quality-workflows\u002FSKILL.md",[199],{"categoryNo":83,"categoryName":84,"taxonomyType":77,"taxonomyTypeDesc":78},[201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,23],"workflows","quality","software","software quality workflows","review","tdd","workflow","commit","debugging","code","debugger","pre-commit","investigation","code simplification","user","simplification",{"skillNo":218,"name":219,"nameZh":6,"description":220,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":221,"categories":222,"keywords":230,"publishedAt":38},"01M6JFCGD0M6CEATY01W7YN6DB","react-component-refactoring","Safely refactor large React components into smaller, maintainable pieces using proven patterns","https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fsoftware-development\u002Freact-component-refactoring\u002FSKILL.md",[223,226,229],{"categoryNo":224,"categoryName":225,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":227,"categoryName":228,"taxonomyType":77,"taxonomyTypeDesc":78},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":83,"categoryName":84,"taxonomyType":77,"taxonomyTypeDesc":78},[231,232,233,234,235,236,237,238,176,239,240,126,241,179,242,210,243,244,245,246],"react","component","refactoring","component refactoring","react component","react component refactoring","frontend","writing","safe","typescript","react components","modular","refactor","simplify","patterns","test-driven-development"]