[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KDMBNXH3XDP2Q17C2171DB":3,"skill-same:01M6KDMBNXH3XDP2Q17C2171DB":63},{"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":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":41,"commitSha":42,"skillDirectory":43,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":46,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M6KDMBNXH3XDP2Q17C2171DB","gh-cli-pr-stats",null,"Computing pull request statistics (merge time, top contributors) from gh CLI JSON output using jq.","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\u002Fgh-cli-pr-stats\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35],"gh cli","gh cli pr stats","cli","gh","stats","pr","pull","JSON Output","json","pull request","jq","contributors","time","statistics","output","top","request","merge","2026-11-10 10:12:30",false,"---\nname: gh-cli-pr-stats\ndescription: Computing pull request statistics (merge time, top contributors) from gh CLI JSON output using jq.\n---\n\n# PR Statistics from gh CLI Output\n\n## Fetching PR Data with Timestamps\n\n```bash\ngh pr list --repo owner\u002Frepo --state all \\\n  --search \"created:2024-12-01..2024-12-31\" \\\n  --limit 500 \\\n  --json number,state,author,createdAt,mergedAt\n```\n\nThe `author` field returns an object: `{\"login\": \"username\"}`.\nThe `state` field returns: `OPEN`, `CLOSED`, or `MERGED`.\n\n## Computing Average Merge Time with jq\n\n```bash\n# Filter merged PRs and compute average days to merge\necho \"$pr_json\" | jq '\n  [.[] | select(.state == \"MERGED\") |\n    { created: (.createdAt | fromdateiso8601),\n      merged: (.mergedAt | fromdateiso8601) } |\n    (.merged - .created) \u002F 86400\n  ] | add \u002F length\n'\n```\n\n- `fromdateiso8601` converts ISO 8601 strings to Unix epoch seconds.\n- Divide difference by 86400 to get days.\n- `add \u002F length` computes the mean.\n\n## Finding Top Contributor\n\n```bash\necho \"$pr_json\" | jq '\n  group_by(.author.login) |\n  map({login: .[0].author.login, count: length}) |\n  sort_by(-.count) |\n  .[0]\n'\n```\n\n## Counting by State\n\n```bash\necho \"$pr_json\" | jq '{\n  total: length,\n  merged: [.[] | select(.state == \"MERGED\")] | length,\n  closed: [.[] | select(.state == \"CLOSED\")] | length\n}'\n```\n\nNote: In `gh` CLI output, `CLOSED` and `MERGED` are distinct states. A merged PR has state `MERGED`, not `CLOSED`.\n","# PR Statistics from gh CLI Output\n\n## Fetching PR Data with Timestamps\n\n```bash\ngh pr list --repo owner\u002Frepo --state all \\\n  --search \"created:2024-12-01..2024-12-31\" \\\n  --limit 500 \\\n  --json number,state,author,createdAt,mergedAt\n```\n\nThe `author` field returns an object: `{\"login\": \"username\"}`.\nThe `state` field returns: `OPEN`, `CLOSED`, or `MERGED`.\n\n## Computing Average Merge Time with jq\n\n```bash\n# Filter merged PRs and compute average days to merge\necho \"$pr_json\" | jq '\n  [.[] | select(.state == \"MERGED\") |\n    { created: (.createdAt | fromdateiso8601),\n      merged: (.mergedAt | fromdateiso8601) } |\n    (.merged - .created) \u002F 86400\n  ] | add \u002F length\n'\n```\n\n- `fromdateiso8601` converts ISO 8601 strings to Unix epoch seconds.\n- Divide difference by 86400 to get days.\n- `add \u002F length` computes the mean.\n\n## Finding Top Contributor\n\n```bash\necho \"$pr_json\" | jq '\n  group_by(.author.login) |\n  map({login: .[0].author.login, count: length}) |\n  sort_by(-.count) |\n  .[0]\n'\n```\n\n## Counting by State\n\n```bash\necho \"$pr_json\" | jq '{\n  total: length,\n  merged: [.[] | select(.state == \"MERGED\")] | length,\n  closed: [.[] | select(.state == \"CLOSED\")] | length\n}'\n```\n\nNote: In `gh` CLI output, `CLOSED` and `MERGED` are distinct states. A merged PR has state `MERGED`, not `CLOSED`.\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-claude-opus-4-6\u002Fgithub-repo-analytics\u002Fgh-cli-pr-stats",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":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill gh-cli-pr-stats",{"tool":55,"command":56},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill gh-cli-pr-stats",{"tool":58,"command":59},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill gh-cli-pr-stats","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\u002Fgh-cli-pr-stats\u002FSKILL.md",true,[],[64,82,107,125,143,155],{"skillNo":65,"name":66,"nameZh":6,"description":67,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":68,"categories":69,"keywords":75,"publishedAt":36},"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",[70],{"categoryNo":71,"categoryName":72,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[76,77,78,79,80,81],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":91,"publishedAt":36},"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",[88],{"categoryNo":89,"categoryName":90,"taxonomyType":73,"taxonomyTypeDesc":74},"01JBSEEDCAT000000000000023","Skill与智能体开发",[92,93,94,95,96,97,98,99,100,101,102,103,104,105,106],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","for","user","it","requirements","essential","itineraries",{"skillNo":108,"name":109,"nameZh":6,"description":110,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":111,"categories":112,"keywords":113,"publishedAt":36},"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",[],[114,115,116,117,118,119,120,95,121,122,96,123,101,124,93],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":126,"name":127,"nameZh":6,"description":128,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":129,"categories":130,"keywords":131,"publishedAt":36},"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",[],[132,32,133,101,134,135,26,136,137,138,139,140,123,141,142],"glm output","glm","tasks","metrics","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":150,"publishedAt":36},"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",[149],{"categoryNo":89,"categoryName":90,"taxonomyType":73,"taxonomyTypeDesc":74},[151,142,133,32,137,136,134,152,153,101,154],"glm calibration","setup","companion","metric",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":159,"categories":160,"keywords":161,"publishedAt":36},"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",[],[162,133,136,163,151,142,101,32,164,165,166,167,168,169,134],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]