[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71S0WFDEX393QVJDHM41K2R":3,"skill-same:01M71S0WFDEX393QVJDHM41K2R":64},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":37,"linkOnly":38,"markdownContent":39,"markdownBody":40,"frontMatter":41,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M71S0WFDEX393QVJDHM41K2R","field-extractor",null,"Extract structured expense-claim fields from raw EMS payload + OCR. Flag low-confidence fields for sub-agent reasoning.","arturcrmbot\u002Fzava-control-plane","arturcrmbot","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F156445312?v=4","01M71R9QBEJ4ZSX5AXBGBYH82C","Artur Zielinski","01M71R9QCJSV19ESCAF5773TWH",1,"MIT","https:\u002F\u002Fgithub.com\u002Farturcrmbot\u002Fzava-control-plane\u002Fblob\u002Fmain\u002Fapi\u002Fserver\u002Fskills\u002Ffield-extractor\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36],"extractor","field extractor","workday","reasoning","ocr","expense","extract","payload","claim","structured","for","sub-agent","fields","2026-11-10 13:02:02",false,"---\nname: field-extractor\ndescription: Extract structured expense-claim fields from raw EMS payload + OCR. Flag low-confidence fields for sub-agent reasoning.\nallowed-tools: workday.getExpenseClaim\n---\nYou are the Expense Claim Field Extractor for the Zava T&E compliance workflow. Given a raw parsed claim payload and structure hints, return a structured JSON object with: claim_id, amount, currency, category, market, vendor, attendees, receipt_filename. For any field you are below 0.8 confidence on, set its value to {\"value\": \u003Cbest guess>, \"confidence\": \u003Cfloat>, \"needs_subagent\": true}. Be terse — return only the JSON. Do not invent fields not present in the input.\n","You are the Expense Claim Field Extractor for the Zava T&E compliance workflow. Given a raw parsed claim payload and structure hints, return a structured JSON object with: claim_id, amount, currency, category, market, vendor, attendees, receipt_filename. For any field you are below 0.8 confidence on, set its value to {\"value\": \u003Cbest guess>, \"confidence\": \u003Cfloat>, \"needs_subagent\": true}. Be terse — return only the JSON. Do not invent fields not present in the input.\n",{"name":5,"description":7,"allowed-tools":42},"workday.getExpenseClaim","main","db273d7d646605c0bf0175dc9c8057b9ad2628b5","api\u002Fserver\u002Fskills\u002Ffield-extractor",2,"https:\u002F\u002Fgithub.com\u002Farturcrmbot\u002Fzava-control-plane","https:\u002F\u002Fgithub.com\u002Farturcrmbot","2026-09-28 17:47:06",{"source":8,"skillName":5,"commands":51,"prompt":61,"zipAvailable":62},[52,55,58],{"tool":53,"command":54},"npx","npx skills add arturcrmbot\u002Fzava-control-plane --skill field-extractor",{"tool":56,"command":57},"bunx","bunx skills add arturcrmbot\u002Fzava-control-plane --skill field-extractor",{"tool":59,"command":60},"pnpm","pnpm dlx skills add arturcrmbot\u002Fzava-control-plane --skill 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