[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JBNSS3JS3RVY0FBKHM80V3":3,"skill-same:01M6JBNSS3JS3RVY0FBKHM80V3":59},{"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":31,"linkOnly":32,"markdownContent":33,"markdownBody":34,"frontMatter":35,"refName":37,"commitSha":38,"skillDirectory":39,"forksCount":40,"repositoryHtmlUrl":41,"repositoryHomepageUrl":42,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6JBNSS3JS3RVY0FBKHM80V3","ai-first-engineering",null,"Engineering operating model for teams where AI agents generate a large share of implementation output.","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\u002Fagentic\u002Fai-first-engineering\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30],"engineering","first","ai first engineering","ai agents","teams","generate","share","model","implementation","operating","output","operating model","for","2026-11-10 10:12:30",false,"---\nname: ai-first-engineering\ndescription: Engineering operating model for teams where AI agents generate a large share of implementation output.\norigin: ECC\n---\n\n# AI-First Engineering\n\nUse this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.\n\n## Process Shifts\n\n1. Planning quality matters more than typing speed.\n2. Eval coverage matters more than anecdotal confidence.\n3. Review focus shifts from syntax to system behavior.\n\n## Architecture Requirements\n\nPrefer architectures that are agent-friendly:\n- explicit boundaries\n- stable contracts\n- typed interfaces\n- deterministic tests\n\nAvoid implicit behavior spread across hidden conventions.\n\n## Code Review in AI-First Teams\n\nReview for:\n- behavior regressions\n- security assumptions\n- data integrity\n- failure handling\n- rollout safety\n\nMinimize time spent on style issues already covered by automation.\n\n## Hiring and Evaluation Signals\n\nStrong AI-first engineers:\n- decompose ambiguous work cleanly\n- define measurable acceptance criteria\n- produce high-signal prompts and evals\n- enforce risk controls under delivery pressure\n\n## Testing Standard\n\nRaise testing bar for generated code:\n- required regression coverage for touched domains\n- explicit edge-case assertions\n- integration checks for interface boundaries\n","# AI-First Engineering\n\nUse this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.\n\n## Process Shifts\n\n1. Planning quality matters more than typing speed.\n2. Eval coverage matters more than anecdotal confidence.\n3. Review focus shifts from syntax to system behavior.\n\n## Architecture Requirements\n\nPrefer architectures that are agent-friendly:\n- explicit boundaries\n- stable contracts\n- typed interfaces\n- deterministic tests\n\nAvoid implicit behavior spread across hidden conventions.\n\n## Code Review in AI-First Teams\n\nReview for:\n- behavior regressions\n- security assumptions\n- data integrity\n- failure handling\n- rollout safety\n\nMinimize time spent on style issues already covered by automation.\n\n## Hiring and Evaluation Signals\n\nStrong AI-first engineers:\n- decompose ambiguous work cleanly\n- define measurable acceptance criteria\n- produce high-signal prompts and evals\n- enforce risk controls under delivery pressure\n\n## Testing Standard\n\nRaise testing bar for generated code:\n- required regression coverage for touched domains\n- explicit edge-case assertions\n- integration checks for interface boundaries\n",{"name":5,"origin":36,"description":7},"ECC","master","8ec37df6d71fb664ea19d32c079e7d3ff931a8e0","skills\u002Fagentic\u002Fai-first-engineering",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":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add S3YED\u002Fappie-kit --skill ai-first-engineering",{"tool":51,"command":52},"bunx","bunx skills add S3YED\u002Fappie-kit --skill ai-first-engineering",{"tool":54,"command":55},"pnpm","pnpm dlx skills add S3YED\u002Fappie-kit --skill ai-first-engineering","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fagentic\u002Fai-first-engineering\u002FSKILL.md",true,[],[60,96,130,156,187,211],{"skillNo":61,"name":62,"nameZh":6,"description":63,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":64,"categories":65,"keywords":77,"publishedAt":31},"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",[66,71,74],{"categoryNo":67,"categoryName":68,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":72,"categoryName":73,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":75,"categoryName":76,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000023","Skill与智能体开发",[78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95],"music","ai music","humanizer","visualization","Tools","Audio","hermes","hermes agent","songwriting","suno","lyrics","prompts","heartmula","craft","generation","feature","ai music generation","music generation",{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":110,"publishedAt":31},"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",[102,105],{"categoryNo":103,"categoryName":104,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":106,"categoryName":107,"taxonomyType":108,"taxonomyTypeDesc":109},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[111,112,113,114,115,116,117,118,23,119,120,121,122,123,124,125,126,127,128,129],"design","agentic","design system","system","ingestion","webdesign","agentic webdesign design system ingestion","components","design systems","website","ui","Tailwind","bolt","lovable","v0","design-system","wed","design system components","appie",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":138,"publishedAt":31},"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",[136,137],{"categoryNo":75,"categoryName":76,"taxonomyType":69,"taxonomyTypeDesc":70},{"categoryNo":106,"categoryName":107,"taxonomyType":108,"taxonomyTypeDesc":109},[112,139,116,140,141,142,118,143,144,145,146,147,148,149,150,151,152,153,154,155],"elements","agentic webdesign agent elements","MCP","ai agent","registry","search","streaming","open source","open","Bash","plan","subagent","edit","install","input","lock","source",{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":166,"publishedAt":31},"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",[162,165],{"categoryNo":163,"categoryName":164,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":75,"categoryName":76,"taxonomyType":69,"taxonomyTypeDesc":70},[167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186],"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":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":194,"publishedAt":31},"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",[193],{"categoryNo":75,"categoryName":76,"taxonomyType":69,"taxonomyTypeDesc":70},[195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,30],"workflows","quality","software","software quality workflows","review","tdd","workflow","commit","debugging","code","debugger","pre-commit","investigation","code simplification","user","simplification",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":215,"categories":216,"keywords":224,"publishedAt":31},"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",[217,220,223],{"categoryNo":218,"categoryName":219,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":221,"categoryName":222,"taxonomyType":69,"taxonomyTypeDesc":70},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":75,"categoryName":76,"taxonomyType":69,"taxonomyTypeDesc":70},[225,226,227,228,229,230,231,232,170,233,234,118,235,173,236,204,237,238,239,240],"react","component","refactoring","component refactoring","react component","react component refactoring","frontend","writing","safe","typescript","react components","modular","refactor","simplify","patterns","test-driven-development"]