[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KEMMZWE5AS2WT16B5TWNQE":3,"skill-same:01M6KEMMZWE5AS2WT16B5TWNQE":68},{"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":22,"publishedAt":41,"linkOnly":42,"markdownContent":43,"markdownBody":44,"frontMatter":45,"refName":46,"commitSha":47,"skillDirectory":48,"forksCount":49,"repositoryHtmlUrl":50,"repositoryHomepageUrl":51,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6KEMMZWE5AS2WT16B5TWNQE","gh-data-retrieval",null,"Retrieve pull request and issue data from GitHub repositories using the gh CLI with specific filters and JSON output for downstream processing.","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-gemini-3-flash-preview\u002Fgithub-repo-analytics\u002Fgh-data-retrieval\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40],"gh data retrieval","data","gh","retrieval","filters","request","for","with","output","processing","issue","cli","gh cli","json","JSON Output","pull","pull request","github","2026-11-10 10:12:30",false,"---\nname: gh-data-retrieval\ndescription: Retrieve pull request and issue data from GitHub repositories using the gh CLI with specific filters and JSON output for downstream processing.\n---\n\n# GitHub Data Retrieval\n\nThis skill focuses on using the `gh` CLI to efficiently fetch data for repository analysis.\n\n## Key Commands\n\n### Searching Pull Requests\nTo find PRs created in a specific timeframe:\n```bash\ngh search prs --repo OWNER\u002FREPO --created \"YYYY-MM-DD..YYYY-MM-DD\" --json number,author,createdAt,mergedAt,state\n```\n\n### Searching Issues\nTo find issues created in a specific timeframe:\n```bash\ngh search issues --repo OWNER\u002FREPO --created \"YYYY-MM-DD..YYYY-MM-DD\" --json number,labels,createdAt,closedAt,state\n```\n\n### Filtering by Labels\nTo find bug reports (labels containing \"bug\"):\n```bash\ngh search issues --repo OWNER\u002FREPO --label \"bug\" --created \"YYYY-MM-DD..YYYY-MM-DD\" --json number\n```\n\n## Tips for Analysis\n- Use `--limit` to ensure you get all results if there are many (default is 30).\n- Use `--json` to specify only the fields you need to keep the payload small.\n- Date ranges use the `YYYY-MM-DD..YYYY-MM-DD` syntax.\n","# GitHub Data Retrieval\n\nThis skill focuses on using the `gh` CLI to efficiently fetch data for repository analysis.\n\n## Key Commands\n\n### Searching Pull Requests\nTo find PRs created in a specific timeframe:\n```bash\ngh search prs --repo OWNER\u002FREPO --created \"YYYY-MM-DD..YYYY-MM-DD\" --json number,author,createdAt,mergedAt,state\n```\n\n### Searching Issues\nTo find issues created in a specific timeframe:\n```bash\ngh search issues --repo OWNER\u002FREPO --created \"YYYY-MM-DD..YYYY-MM-DD\" --json number,labels,createdAt,closedAt,state\n```\n\n### Filtering by Labels\nTo find bug reports (labels containing \"bug\"):\n```bash\ngh search issues --repo OWNER\u002FREPO --label \"bug\" --created \"YYYY-MM-DD..YYYY-MM-DD\" --json number\n```\n\n## Tips for Analysis\n- Use `--limit` to ensure you get all results if there are many (default is 30).\n- Use `--json` to specify only the fields you need to keep the payload small.\n- Date ranges use the `YYYY-MM-DD..YYYY-MM-DD` syntax.\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-gemini-3-flash-preview\u002Fgithub-repo-analytics\u002Fgh-data-retrieval",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":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill gh-data-retrieval",{"tool":60,"command":61},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill gh-data-retrieval",{"tool":63,"command":64},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill gh-data-retrieval","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-gemini-3-flash-preview\u002Fgithub-repo-analytics\u002Fgh-data-retrieval\u002FSKILL.md",true,[],[69,87,111,129,146,158],{"skillNo":70,"name":71,"nameZh":6,"description":72,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":73,"categories":74,"keywords":80,"publishedAt":41},"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",[75],{"categoryNo":76,"categoryName":77,"taxonomyType":78,"taxonomyTypeDesc":79},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[81,82,83,84,85,86],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":96,"publishedAt":41},"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",[93],{"categoryNo":94,"categoryName":95,"taxonomyType":78,"taxonomyTypeDesc":79},"01JBSEEDCAT000000000000023","Skill与智能体开发",[97,98,99,100,101,102,103,104,105,29,106,107,108,109,110],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","user","it","requirements","essential","itineraries",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":117,"publishedAt":41},"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",[],[118,119,120,121,122,123,124,100,125,126,101,127,29,128,98],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":135,"publishedAt":41},"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",[],[136,31,137,29,138,139,36,140,141,142,143,32,127,144,145],"glm output","glm","tasks","metrics","basics","guidance","matching","verifier","root","calibration",{"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":153,"publishedAt":41},"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",[152],{"categoryNo":94,"categoryName":95,"taxonomyType":78,"taxonomyTypeDesc":79},[154,145,137,31,141,140,138,155,156,29,157],"glm calibration","setup","companion","metric",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":164,"publishedAt":41},"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",[],[165,137,140,166,154,145,29,31,167,168,169,170,171,172,138],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]