[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KFMWPY20KX0DSASZB6J2HE":3,"skill-same:01M6KFMWPY20KX0DSASZB6J2HE":55},{"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":28,"linkOnly":29,"markdownContent":30,"markdownBody":31,"frontMatter":32,"refName":33,"commitSha":34,"skillDirectory":35,"forksCount":36,"repositoryHtmlUrl":37,"repositoryHomepageUrl":38,"ownerHtmlUrl":39,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":40,"install":41,"resources":54},"01M6KFMWPY20KX0DSASZB6J2HE","run2_itinerary-planning",null,"Plan multi-city driving itineraries with proper day allocation, cuisine variety, and format compliance.","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",93,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-opus-4-6\u002Ftravel-planning\u002Frun2_itinerary-planning\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27],"planning","itinerary","run2 itinerary planning","compliance","plan","format","itineraries","multi","with","allocation","2026-11-10 10:12:30",false,"---\nname: run2_itinerary-planning\ndescription: Plan multi-city driving itineraries with proper day allocation, cuisine variety, and format compliance.\n---\n\n# Itinerary Planning (Improved)\n\n## Route Selection for Ohio Trip from Minneapolis\nBest 3-city combinations considering drive times:\n- Cleveland + Dayton + Cincinnati: Good loop, varied distances\n- Cleveland + Columbus + Cincinnati: Major cities, good attractions\n- Route: Minneapolis → City1 → City2 → City3 → Minneapolis\n\n## Day Allocation Strategy\n- Day 1: Long drive to first Ohio city (skip breakfast\u002Flunch or eat before departure)\n- Days 2-6: Explore cities, with short travel days between cities\n- Day 7: Long drive back to Minneapolis (breakfast only, skip lunch\u002Fdinner)\n- Allocate 2 days per city (1 travel + 1 full day, or 2 full days)\n\n## Output Format Requirements\n- `current_city`: exact city name OR \"from CityA to CityB\"\n- `transportation`: \"Self-driving: from CityA to CityB, duration\" or \"-\"\n- Meals: \"Restaurant Name, City\" format; use \"-\" for skipped meals\n- `attraction`: semicolon-separated, MUST end with semicolon; use \"-\" if none\n- `accommodation`: \"Accommodation Name, City\" or \"-\" on last day\n\n## Cuisine Distribution\nEnsure all 4 requested cuisines appear:\n- American: at least 2-3 meals\n- Mediterranean: at least 2-3 meals\n- Chinese: at least 2-3 meals\n- Italian: at least 2-3 meals\n\n## Budget Calculation\nTotal = Σ(accommodation price × nights) + Σ(restaurant avg cost × 2 people)\nMust stay under $5,100.\n","# Itinerary Planning (Improved)\n\n## Route Selection for Ohio Trip from Minneapolis\nBest 3-city combinations considering drive times:\n- Cleveland + Dayton + Cincinnati: Good loop, varied distances\n- Cleveland + Columbus + Cincinnati: Major cities, good attractions\n- Route: Minneapolis → City1 → City2 → City3 → Minneapolis\n\n## Day Allocation Strategy\n- Day 1: Long drive to first Ohio city (skip breakfast\u002Flunch or eat before departure)\n- Days 2-6: Explore cities, with short travel days between cities\n- Day 7: Long drive back to Minneapolis (breakfast only, skip lunch\u002Fdinner)\n- Allocate 2 days per city (1 travel + 1 full day, or 2 full days)\n\n## Output Format Requirements\n- `current_city`: exact city name OR \"from CityA to CityB\"\n- `transportation`: \"Self-driving: from CityA to CityB, duration\" or \"-\"\n- Meals: \"Restaurant Name, City\" format; use \"-\" for skipped meals\n- `attraction`: semicolon-separated, MUST end with semicolon; use \"-\" if none\n- `accommodation`: \"Accommodation Name, City\" or \"-\" on last day\n\n## Cuisine Distribution\nEnsure all 4 requested cuisines appear:\n- American: at least 2-3 meals\n- Mediterranean: at least 2-3 meals\n- Chinese: at least 2-3 meals\n- Italian: at least 2-3 meals\n\n## Budget Calculation\nTotal = Σ(accommodation price × nights) + Σ(restaurant avg cost × 2 people)\nMust stay under $5,100.\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-claude-opus-4-6\u002Ftravel-planning\u002Frun2_itinerary-planning",8,"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":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill run2_itinerary-planning",{"tool":47,"command":48},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_itinerary-planning",{"tool":50,"command":51},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_itinerary-planning","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-opus-4-6\u002Ftravel-planning\u002Frun2_itinerary-planning\u002FSKILL.md",true,[],[56,74,96,114,134,146],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":67,"publishedAt":28},"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",[62],{"categoryNo":63,"categoryName":64,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[68,69,70,71,72,73],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":75,"name":76,"nameZh":6,"description":77,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":78,"categories":79,"keywords":83,"publishedAt":28},"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",[80],{"categoryNo":81,"categoryName":82,"taxonomyType":65,"taxonomyTypeDesc":66},"01JBSEEDCAT000000000000023","Skill与智能体开发",[84,18,85,86,87,88,89,90,22,91,92,93,94,95,24],"workflow","planning workflow","travel","travel planning","travel planning workflow","structured","performing","for","user","it","requirements","essential",{"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":102,"publishedAt":28},"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",[],[103,104,105,106,107,108,109,86,110,111,87,112,91,113,18],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":120,"publishedAt":28},"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",[],[121,122,123,91,124,125,126,127,128,129,130,131,112,132,133],"glm output","output","glm","tasks","metrics","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":135,"name":136,"nameZh":6,"description":137,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":138,"categories":139,"keywords":141,"publishedAt":28},"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",[140],{"categoryNo":81,"categoryName":82,"taxonomyType":65,"taxonomyTypeDesc":66},[142,133,123,122,128,127,124,143,144,91,145],"glm calibration","setup","companion","metric",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":152,"publishedAt":28},"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",[],[153,123,127,154,142,133,91,122,155,156,157,158,159,160,124],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]