[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KFJPZTYS47TRMF6RHMJ75M":3,"skill-same:01M6KFJPZTYS47TRMF6RHMJ75M":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},"01M6KFJPZTYS47TRMF6RHMJ75M","run2_scala-circe-json",null,"Using circe for JSON tokenization in Scala, including printing, cursor navigation, and path-based access.","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\u002Fpython-scala-translation\u002Frun2_scala-circe-json\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27],"scala","json","scala circe json","run2 scala circe json","access","cursor","navigation","Tokenization","path","for","2026-11-10 10:12:30",false,"---\nname: run2_scala-circe-json\ndescription: Using circe for JSON tokenization in Scala, including printing, cursor navigation, and path-based access.\n---\n\n# Circe JSON for Tokenization\n\n## Printing\n```scala\nimport io.circe.{Json, Printer}\n\nval compact = Printer.noSpaces.print(json)\nval pretty = Printer.spaces2.print(json)\n```\n\n## Path-Based Navigation with ACursor\n```scala\nimport io.circe.ACursor\n\ndef navigate(json: Json, path: String): Option[Json] = {\n  val cursor = path.split(\"\\\\.\").foldLeft(json.hcursor: ACursor) { (c, part) =>\n    if (part.forall(_.isDigit)) c.downN(part.toInt)\n    else c.downField(part)\n  }\n  cursor.focus\n}\n```\n\n## Key Differences from Python json module\n- circe uses `Json` ADT instead of Python's dynamic types\n- No need for recursive `JsonValue` type alias - `Json` is already recursive\n- Printing via `Printer` instances rather than `json.dumps` kwargs\n","# Circe JSON for Tokenization\n\n## Printing\n```scala\nimport io.circe.{Json, Printer}\n\nval compact = Printer.noSpaces.print(json)\nval pretty = Printer.spaces2.print(json)\n```\n\n## Path-Based Navigation with ACursor\n```scala\nimport io.circe.ACursor\n\ndef navigate(json: Json, path: String): Option[Json] = {\n  val cursor = path.split(\"\\\\.\").foldLeft(json.hcursor: ACursor) { (c, part) =>\n    if (part.forall(_.isDigit)) c.downN(part.toInt)\n    else c.downField(part)\n  }\n  cursor.focus\n}\n```\n\n## Key Differences from Python json module\n- circe uses `Json` ADT instead of Python's dynamic types\n- No need for recursive `JsonValue` type alias - `Json` is already recursive\n- Printing via `Printer` instances rather than `json.dumps` kwargs\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb2-self-feedback-claude-opus-4-6\u002Fpython-scala-translation\u002Frun2_scala-circe-json",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_scala-circe-json",{"tool":47,"command":48},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill run2_scala-circe-json",{"tool":50,"command":51},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill run2_scala-circe-json","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb2-self-feedback-claude-opus-4-6\u002Fpython-scala-translation\u002Frun2_scala-circe-json\u002FSKILL.md",true,[],[56,74,98,116,135,147],{"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",[],[105,106,107,108,109,110,111,87,112,113,88,114,27,115,85],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"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",[],[123,124,125,27,126,127,19,128,129,130,131,132,114,133,134],"glm output","output","glm","tasks","metrics","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":142,"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",[141],{"categoryNo":81,"categoryName":82,"taxonomyType":65,"taxonomyTypeDesc":66},[143,134,125,124,129,128,126,144,145,27,146],"glm calibration","setup","companion","metric",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"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",[],[154,125,128,155,143,134,27,124,156,157,158,159,160,161,126],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]