[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JD41484VFCZGCWPKQEN6AD":3,"skill-same:01M6JD41484VFCZGCWPKQEN6AD":71},{"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":22,"publishedAt":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":49,"commitSha":50,"skillDirectory":51,"forksCount":52,"repositoryHtmlUrl":53,"repositoryHomepageUrl":54,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":56,"install":57,"resources":70},"01M6JD41484VFCZGCWPKQEN6AD","ito-basket-compare",null,"Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.","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\u002Fito-basket-compare\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"ito basket compare","compare","knowledge base","prediction-market","for","read-only","comparison","gap analysis","gap","thesis","research","Market","only","portfolio","advice","use","read","knowledge","analysis","notes","2026-11-10 10:12:30",false,"---\nname: ito-basket-compare\ndescription: Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.\norigin: ECC\n---\n\n# Itô Basket Compare\n\nUse this skill to compare a basket, theme, or market set against a user's\nknowledge base, portfolio notes, research memo, CRM context, or stated thesis.\n\nThis skill is read-only. It does not recommend trades. It helps a user inspect\nfit, exposure, assumptions, and missing context before they decide what to do.\n\n## Guardrails\n\n- Do not provide investment advice or tell the user to buy, sell, hold, hedge,\n  lever, or size a trade.\n- Do not execute, prepare, or submit orders.\n- Do not use private documents unless the user explicitly points to them.\n- Use `ITO_API_KEY` only for read-only Itô basket\u002Fmarket data after explicit\n  user request.\n- If comparing against financials, preserve privacy and summarize only the\n  fields needed for the comparison.\n\n## Comparison Modes\n\n### Basket vs Knowledge Base\n\n1. Identify the basket theme and underliers.\n2. Retrieve the user's relevant notes, docs, or memory snippets.\n3. Map each underlier to claims, sources, uncertainties, and stale assumptions.\n4. Return aligned signals, conflicting signals, and missing research.\n\n### Basket vs Portfolio Notes\n\n1. Parse the user's watchlist, holdings summary, or exposure notes.\n2. Compare themes, geographies, time horizons, and event outcomes.\n3. Flag concentration, correlation, and duplicated narrative exposure.\n4. Avoid recommendations; phrase output as inspection and questions.\n\n### Basket vs Financial Context\n\n1. Accept only user-provided or explicitly selected financial context.\n2. Identify liquidity, drawdown, time-horizon, and constraint mismatches.\n3. Ask for missing constraints instead of guessing.\n\n## Output Contract\n\nUse this structure:\n\n1. Basket summary\n2. Comparison target\n3. Matches\n4. Conflicts or stale assumptions\n5. Missing context\n6. User-action checklist\n\nEnd with:\n\n```text\nThis comparison is informational and not investment or trading advice.\n```\n","# Itô Basket Compare\n\nUse this skill to compare a basket, theme, or market set against a user's\nknowledge base, portfolio notes, research memo, CRM context, or stated thesis.\n\nThis skill is read-only. It does not recommend trades. It helps a user inspect\nfit, exposure, assumptions, and missing context before they decide what to do.\n\n## Guardrails\n\n- Do not provide investment advice or tell the user to buy, sell, hold, hedge,\n  lever, or size a trade.\n- Do not execute, prepare, or submit orders.\n- Do not use private documents unless the user explicitly points to them.\n- Use `ITO_API_KEY` only for read-only Itô basket\u002Fmarket data after explicit\n  user request.\n- If comparing against financials, preserve privacy and summarize only the\n  fields needed for the comparison.\n\n## Comparison Modes\n\n### Basket vs Knowledge Base\n\n1. Identify the basket theme and underliers.\n2. Retrieve the user's relevant notes, docs, or memory snippets.\n3. Map each underlier to claims, sources, uncertainties, and stale assumptions.\n4. Return aligned signals, conflicting signals, and missing research.\n\n### Basket vs Portfolio Notes\n\n1. Parse the user's watchlist, holdings summary, or exposure notes.\n2. Compare themes, geographies, time horizons, and event outcomes.\n3. Flag concentration, correlation, and duplicated narrative exposure.\n4. Avoid recommendations; phrase output as inspection and questions.\n\n### Basket vs Financial Context\n\n1. Accept only user-provided or explicitly selected financial context.\n2. Identify liquidity, drawdown, time-horizon, and constraint mismatches.\n3. Ask for missing constraints instead of guessing.\n\n## Output Contract\n\nUse this structure:\n\n1. Basket summary\n2. Comparison target\n3. Matches\n4. Conflicts or stale assumptions\n5. Missing context\n6. User-action checklist\n\nEnd with:\n\n```text\nThis comparison is informational and not investment or trading advice.\n```\n",{"name":5,"origin":48,"description":7},"ECC","master","8ec37df6d71fb664ea19d32c079e7d3ff931a8e0","skills\u002Fecc\u002Fito-basket-compare",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":58,"prompt":68,"zipAvailable":69},[59,62,65],{"tool":60,"command":61},"npx","npx skills add S3YED\u002Fappie-kit --skill ito-basket-compare",{"tool":63,"command":64},"bunx","bunx skills add S3YED\u002Fappie-kit --skill ito-basket-compare",{"tool":66,"command":67},"pnpm","pnpm dlx skills add S3YED\u002Fappie-kit --skill ito-basket-compare","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FS3YED\u002Fappie-kit\u002Fblob\u002Fmaster\u002Fskills\u002Fecc\u002Fito-basket-compare\u002FSKILL.md",true,[],[72,106,141,167,198,222],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":87,"publishedAt":43},"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",[78,81,84],{"categoryNo":79,"categoryName":80,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":82,"categoryName":83,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105],"music","ai music","humanizer","visualization","Tools","Audio","hermes","hermes agent","songwriting","suno","lyrics","prompts","heartmula","craft","generation","feature","ai music generation","music generation",{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":120,"publishedAt":43},"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",[112,115],{"categoryNo":113,"categoryName":114,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":116,"categoryName":117,"taxonomyType":118,"taxonomyTypeDesc":119},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140],"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":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":149,"publishedAt":43},"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",[147,148],{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":116,"categoryName":117,"taxonomyType":118,"taxonomyTypeDesc":119},[122,150,126,151,152,153,128,154,155,156,157,158,159,160,161,162,163,164,165,166],"elements","agentic webdesign agent elements","MCP","ai agent","registry","search","streaming","open source","open","Bash","plan","subagent","edit","install","input","lock","source",{"skillNo":168,"name":169,"nameZh":6,"description":170,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":171,"categories":172,"keywords":177,"publishedAt":43},"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",[173,176],{"categoryNo":174,"categoryName":175,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},[178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197],"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":199,"name":200,"nameZh":6,"description":201,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":202,"categories":203,"keywords":205,"publishedAt":43},"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",[204],{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},[206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,27],"workflows","quality","software","software quality workflows","review","tdd","workflow","commit","debugging","code","debugger","pre-commit","investigation","code simplification","user","simplification",{"skillNo":223,"name":224,"nameZh":6,"description":225,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":226,"categories":227,"keywords":235,"publishedAt":43},"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",[228,231,234],{"categoryNo":229,"categoryName":230,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":232,"categoryName":233,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000009","前端开发",{"categoryNo":85,"categoryName":86,"taxonomyType":20,"taxonomyTypeDesc":21},[236,237,238,239,240,241,242,243,181,244,245,128,246,184,247,215,248,249,250,251],"react","component","refactoring","component refactoring","react component","react component refactoring","frontend","writing","safe","typescript","react components","modular","refactor","simplify","patterns","test-driven-development"]