[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KHS7RA4GS2EESA1N837K6M":3,"skill-same:01M6KHS7RA4GS2EESA1N837K6M":58},{"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":36,"commitSha":37,"skillDirectory":38,"forksCount":39,"repositoryHtmlUrl":40,"repositoryHomepageUrl":41,"ownerHtmlUrl":42,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":43,"install":44,"resources":57},"01M6KHS7RA4GS2EESA1N837K6M","itinerary-validation-check",null,"A final verification step to ensure the JSON output meets all structural and constraint requirements before delivery.","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",92,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb3-teacher-feedback-gemini-3-flash-preview\u002Ftravel-planning\u002Frun2_itinerary-validation-check\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30],"validation","check","itinerary","itinerary validation","itinerary validation check","verification","JSON Output","json","delivery","requirements","structural","output","constraint","2026-11-10 10:12:30",false,"---\nname: itinerary-validation-check\ndescription: A final verification step to ensure the JSON output meets all structural and constraint requirements before delivery.\n---\n\n1. **Day Count Verification**: Ensure the `plan` array contains exactly 7 objects representing Day 1 to Day 7.\n2. **Attraction Field Validation**: \n    - Iterate through every day object. \n    - Verify that the `attraction` string is not empty (\"\").\n    - Verify that the `attraction` string is not a null-placeholder (\"-\").\n    - Confirm the trailing semicolon format.\n3. **Constraint Check**:\n    - Confirm `transportation` never mentions \"flight\" or \"plane\".\n    - Confirm `accommodation` is sourced from the database and is pet-friendly.\n    - Confirm `data_sources` lists all files accessed (e.g., distance matrix, restaurant csv, etc.).\n4. **City Consistency**: Ensure that if the `current_city` is \"from A to B\", the restaurants and attractions for that day are located in A, B, or a city on the path between them.\n5. **Budget Check**: Sum the estimated costs of restaurants and accommodations (if price data is available in the CSV) to ensure the total is within the $5,100 limit.","1. **Day Count Verification**: Ensure the `plan` array contains exactly 7 objects representing Day 1 to Day 7.\n2. **Attraction Field Validation**: \n    - Iterate through every day object. \n    - Verify that the `attraction` string is not empty (\"\").\n    - Verify that the `attraction` string is not a null-placeholder (\"-\").\n    - Confirm the trailing semicolon format.\n3. **Constraint Check**:\n    - Confirm `transportation` never mentions \"flight\" or \"plane\".\n    - Confirm `accommodation` is sourced from the database and is pet-friendly.\n    - Confirm `data_sources` lists all files accessed (e.g., distance matrix, restaurant csv, etc.).\n4. **City Consistency**: Ensure that if the `current_city` is \"from A to B\", the restaurants and attractions for that day are located in A, B, or a city on the path between them.\n5. **Budget Check**: Sum the estimated costs of restaurants and accommodations (if price data is available in the CSV) to ensure the total is within the $5,100 limit.",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb3-teacher-feedback-gemini-3-flash-preview\u002Ftravel-planning\u002Frun2_itinerary-validation-check",7,"https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench","https:\u002F\u002Fcxcscmu.github.io\u002FSkillLearnBench","https:\u002F\u002Fgithub.com\u002Fcxcscmu","2026-10-02 22:55:36",{"source":8,"skillName":5,"commands":45,"prompt":55,"zipAvailable":56},[46,49,52],{"tool":47,"command":48},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill itinerary-validation-check",{"tool":50,"command":51},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill itinerary-validation-check",{"tool":53,"command":54},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill itinerary-validation-check","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb3-teacher-feedback-gemini-3-flash-preview\u002Ftravel-planning\u002Frun2_itinerary-validation-check\u002FSKILL.md",true,[],[59,77,101,119,137,149],{"skillNo":60,"name":61,"nameZh":6,"description":62,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":63,"categories":64,"keywords":70,"publishedAt":31},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[65],{"categoryNo":66,"categoryName":67,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[71,72,73,74,75,76],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":86,"publishedAt":31},"01M6KM51TMVXG79MMPCS6Y8G86","travel-planning-workflow","Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Ftravel-planning-workflow\u002FSKILL.md",[83],{"categoryNo":84,"categoryName":85,"taxonomyType":68,"taxonomyTypeDesc":69},"01JBSEEDCAT000000000000023","Skill与智能体开发",[87,88,89,90,91,92,93,94,95,96,97,98,27,99,100],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","for","user","it","essential","itineraries",{"skillNo":102,"name":103,"nameZh":6,"description":104,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":105,"categories":106,"keywords":107,"publishedAt":31},"01M6KM4DY820XHS9YTSK5QP5HD","bundled-dataset-search-tool","invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Fbundled-dataset-search-tool\u002FSKILL.md",[],[108,109,110,111,112,113,114,90,115,116,91,117,96,118,88],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":120,"name":121,"nameZh":6,"description":122,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":123,"categories":124,"keywords":125,"publishedAt":31},"01M6KM465BB9PQ0B548HQSVAWZ","glm-output","Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final \u002Froot\u002Fmetrics.json.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-output\u002FSKILL.md",[],[126,29,127,96,128,129,25,130,131,132,133,134,117,135,136],"glm output","glm","tasks","metrics","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":138,"name":139,"nameZh":6,"description":140,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":144,"publishedAt":31},"01M6KM40KY3QWDW5W97S39R2BC","glm-calibration","Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-calibration\u002FSKILL.md",[143],{"categoryNo":84,"categoryName":85,"taxonomyType":68,"taxonomyTypeDesc":69},[145,136,127,29,131,130,128,146,147,96,148],"glm calibration","setup","companion","metric",{"skillNo":150,"name":151,"nameZh":6,"description":152,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":155,"publishedAt":31},"01M6KM3VHHVSGMGHJQB3PPT6YG","glm-basics","A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-basics\u002FSKILL.md",[],[156,127,130,157,145,136,96,29,158,159,160,161,162,163,128],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]