[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KDMN84PYC60D9JWER1FD3H":3,"skill-same:01M6KDMN84PYC60D9JWER1FD3H":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},"01M6KDMN84PYC60D9JWER1FD3H","jq-processing",null,"Using jq to parse, filter, and aggregate JSON data from CLI tools for generating reports.","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\u002Fb1-one-shot-claude-opus-4-6\u002Fgithub-repo-analytics\u002Fjq-processing\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27],"jq","processing","jq processing","cli","data","Tools","json","reports","filter","for","2026-11-10 10:12:30",false,"---\nname: jq-processing\ndescription: Using jq to parse, filter, and aggregate JSON data from CLI tools for generating reports.\n---\n\n# jq for JSON Processing\n\n## Basics\n- `jq '.'` - pretty-print JSON\n- `jq '.field'` - extract a field\n- `jq 'length'` - count array elements\n- `jq '[.[] | select(.cond)]'` - filter arrays\n\n## Date Handling\n```bash\n# Parse ISO 8601 date to epoch\necho '\"2024-12-15T10:30:00Z\"' | jq 'fromdateiso8601'\n\n# Compute difference in days between two dates\njq -n '(\"2024-12-20T00:00:00Z\" | fromdateiso8601) - (\"2024-12-15T00:00:00Z\" | fromdateiso8601) | . \u002F 86400'\n# Output: 5\n```\n\n## Rounding\n```bash\n# Round to 1 decimal place\njq -n '3.14159 * 10 | round \u002F 10'\n# Output: 3.1\n```\n\n## Building Final JSON\n```bash\njq -n \\\n  --argjson pr_total 50 \\\n  --argjson pr_merged 40 \\\n  --arg top \"user1\" \\\n  '{\n    pr: { total: $pr_total, merged: $pr_merged, top_contributor: $top }\n  }'\n```\n\n## Label Matching (substring check)\n```bash\n# Check if any label name contains \"bug\" (case-insensitive)\necho \"$issues_json\" | jq '\n  [.[] | select(.labels | any(.name | test(\"bug\"; \"i\")))]\n'\n```\n","# jq for JSON Processing\n\n## Basics\n- `jq '.'` - pretty-print JSON\n- `jq '.field'` - extract a field\n- `jq 'length'` - count array elements\n- `jq '[.[] | select(.cond)]'` - filter arrays\n\n## Date Handling\n```bash\n# Parse ISO 8601 date to epoch\necho '\"2024-12-15T10:30:00Z\"' | jq 'fromdateiso8601'\n\n# Compute difference in days between two dates\njq -n '(\"2024-12-20T00:00:00Z\" | fromdateiso8601) - (\"2024-12-15T00:00:00Z\" | fromdateiso8601) | . \u002F 86400'\n# Output: 5\n```\n\n## Rounding\n```bash\n# Round to 1 decimal place\njq -n '3.14159 * 10 | round \u002F 10'\n# Output: 3.1\n```\n\n## Building Final JSON\n```bash\njq -n \\\n  --argjson pr_total 50 \\\n  --argjson pr_merged 40 \\\n  --arg top \"user1\" \\\n  '{\n    pr: { total: $pr_total, merged: $pr_merged, top_contributor: $top }\n  }'\n```\n\n## Label Matching (substring check)\n```bash\n# Check if any label name contains \"bug\" (case-insensitive)\necho \"$issues_json\" | jq '\n  [.[] | select(.labels | any(.name | test(\"bug\"; \"i\")))]\n'\n```\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-claude-opus-4-6\u002Fgithub-repo-analytics\u002Fjq-processing",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":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill jq-processing",{"tool":47,"command":48},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill jq-processing",{"tool":50,"command":51},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill jq-processing","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-opus-4-6\u002Fgithub-repo-analytics\u002Fjq-processing\u002FSKILL.md",true,[],[56,74,98,115,133,145],{"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",[84,85,86,87,88,89,90,91,92,27,93,94,95,96,97],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"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",[],[105,106,107,108,109,23,110,87,111,112,88,113,27,114,85],"search","tool","dataset","bundled dataset search tool","restaurants","up","look","flights","you","database",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":121,"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",[],[122,123,124,27,125,126,24,127,128,129,130,19,113,131,132],"glm output","output","glm","tasks","metrics","basics","guidance","matching","verifier","root","calibration",{"skillNo":134,"name":135,"nameZh":6,"description":136,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":137,"categories":138,"keywords":140,"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",[139],{"categoryNo":81,"categoryName":82,"taxonomyType":65,"taxonomyTypeDesc":66},[141,132,124,123,128,127,125,142,143,27,144],"glm calibration","setup","companion","metric",{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":151,"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",[],[152,124,127,153,141,132,27,123,154,155,156,157,158,159,125],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]