[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KDXS42M3771MBMJTYYGBSS":3,"skill-same:01M6KDXS42M3771MBMJTYYGBSS":61},{"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":34,"linkOnly":35,"markdownContent":36,"markdownBody":37,"frontMatter":38,"refName":39,"commitSha":40,"skillDirectory":41,"forksCount":42,"repositoryHtmlUrl":43,"repositoryHomepageUrl":44,"ownerHtmlUrl":45,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":46,"install":47,"resources":60},"01M6KDXS42M3771MBMJTYYGBSS","python-scala-builder-pattern",null,"Implementing immutable fluent builder pattern in Scala as a translation of Python classes with method chaining, emphasizing immutability and type safety.","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-sonnet-4-6\u002Fpython-scala-translation\u002Fpython-scala-builder-pattern\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33],"python","scala","builder","pattern","builder pattern","python scala builder pattern","fluent","Type Safety","Safety","immutable","chaining","translation","as","type","with","implementing","2026-11-10 10:12:30",false,"---\nname: python-scala-builder-pattern\ndescription: Implementing immutable fluent builder pattern in Scala as a translation of Python classes with method chaining, emphasizing immutability and type safety.\n---\n\n# Builder Pattern in Scala\n\n## Python Pattern (Mutable Builder)\n```python\nclass TokenizerBuilder(Generic[T]):\n    def __init__(self):\n        self._normalizers = []\n        self._metadata = {}\n\n    def with_normalizer(self, normalizer):\n        self._normalizers.append(normalizer)\n        return self\n\n    def build(self):\n        ...\n```\n\n## Scala Idiomatic Translation (Immutable Builder)\n\nIn Scala, prefer **immutable builders** — each method creates a new builder instance:\n\n```scala\nclass TokenizerBuilder[T] private (\n  normalizers: List[String => String],\n  validators:  List[T => Boolean],\n  meta:        Map[String, Any]\n) {\n  def withNormalizer(f: String => String): TokenizerBuilder[T] =\n    new TokenizerBuilder(normalizers :+ f, validators, meta)\n\n  def withValidator(f: T => Boolean): TokenizerBuilder[T] =\n    new TokenizerBuilder(normalizers, validators :+ f, meta)\n\n  def withMetadata(pairs: (String, Any)*): TokenizerBuilder[T] =\n    new TokenizerBuilder(normalizers, validators, meta ++ pairs)\n\n  def build(): T => Token = { value =>\n    validators.foreach { v =>\n      if (!v(value)) throw new IllegalArgumentException(s\"Validation failed for $value\")\n    }\n    val str = normalizers.foldLeft(value.toString)((s, f) => f(s))\n    Token(str, TokenType.STRING, meta)\n  }\n}\n\nobject TokenizerBuilder {\n  def apply[T](): TokenizerBuilder[T] =\n    new TokenizerBuilder[T](Nil, Nil, Map.empty)\n}\n```\n\n## Usage\n```scala\nval tokenizer = TokenizerBuilder[String]()\n  .withNormalizer(_.toLowerCase)\n  .withNormalizer(_.replace(\" \", \"_\"))\n  .withValidator(_.nonEmpty)\n  .withMetadata(\"type\" -> \"custom\")\n  .build()\n\nval token = tokenizer(\"Hello World\")\n\u002F\u002F token.value == \"hello_world\"\n```\n\n## Key Scala Conventions\n- `private` constructor forces use of companion `apply` factory.\n- `build()` returns a **function** `T => Token` (first-class function), not a new class.\n- Use varargs `(String, Any)*` for key-value metadata pairs.\n- `List` is immutable; use `:+` to append (creates new list).\n- `Map ++ pairs` merges maps without mutation.\n\n## Mutable vs Immutable\n| Python (mutable) | Scala (immutable) |\n|---|---|\n| `self._list.append(x)` | `new Builder(list :+ x, ...)` |\n| `self._dict.update(d)` | `new Builder(..., map ++ d)` |\n| Returns `self` | Returns `new Builder(...)` |\n","# Builder Pattern in Scala\n\n## Python Pattern (Mutable Builder)\n```python\nclass TokenizerBuilder(Generic[T]):\n    def __init__(self):\n        self._normalizers = []\n        self._metadata = {}\n\n    def with_normalizer(self, normalizer):\n        self._normalizers.append(normalizer)\n        return self\n\n    def build(self):\n        ...\n```\n\n## Scala Idiomatic Translation (Immutable Builder)\n\nIn Scala, prefer **immutable builders** — each method creates a new builder instance:\n\n```scala\nclass TokenizerBuilder[T] private (\n  normalizers: List[String => String],\n  validators:  List[T => Boolean],\n  meta:        Map[String, Any]\n) {\n  def withNormalizer(f: String => String): TokenizerBuilder[T] =\n    new TokenizerBuilder(normalizers :+ f, validators, meta)\n\n  def withValidator(f: T => Boolean): TokenizerBuilder[T] =\n    new TokenizerBuilder(normalizers, validators :+ f, meta)\n\n  def withMetadata(pairs: (String, Any)*): TokenizerBuilder[T] =\n    new TokenizerBuilder(normalizers, validators, meta ++ pairs)\n\n  def build(): T => Token = { value =>\n    validators.foreach { v =>\n      if (!v(value)) throw new IllegalArgumentException(s\"Validation failed for $value\")\n    }\n    val str = normalizers.foldLeft(value.toString)((s, f) => f(s))\n    Token(str, TokenType.STRING, meta)\n  }\n}\n\nobject TokenizerBuilder {\n  def apply[T](): TokenizerBuilder[T] =\n    new TokenizerBuilder[T](Nil, Nil, Map.empty)\n}\n```\n\n## Usage\n```scala\nval tokenizer = TokenizerBuilder[String]()\n  .withNormalizer(_.toLowerCase)\n  .withNormalizer(_.replace(\" \", \"_\"))\n  .withValidator(_.nonEmpty)\n  .withMetadata(\"type\" -> \"custom\")\n  .build()\n\nval token = tokenizer(\"Hello World\")\n\u002F\u002F token.value == \"hello_world\"\n```\n\n## Key Scala Conventions\n- `private` constructor forces use of companion `apply` factory.\n- `build()` returns a **function** `T => Token` (first-class function), not a new class.\n- Use varargs `(String, Any)*` for key-value metadata pairs.\n- `List` is immutable; use `:+` to append (creates new list).\n- `Map ++ pairs` merges maps without mutation.\n\n## Mutable vs Immutable\n| Python (mutable) | Scala (immutable) |\n|---|---|\n| `self._list.append(x)` | `new Builder(list :+ x, ...)` |\n| `self._dict.update(d)` | `new Builder(..., map ++ d)` |\n| Returns `self` | Returns `new Builder(...)` |\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-claude-sonnet-4-6\u002Fpython-scala-translation\u002Fpython-scala-builder-pattern",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":48,"prompt":58,"zipAvailable":59},[49,52,55],{"tool":50,"command":51},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill python-scala-builder-pattern",{"tool":53,"command":54},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill python-scala-builder-pattern",{"tool":56,"command":57},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill python-scala-builder-pattern","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-sonnet-4-6\u002Fpython-scala-translation\u002Fpython-scala-builder-pattern\u002FSKILL.md",true,[],[62,80,105,123,143,155],{"skillNo":63,"name":64,"nameZh":6,"description":65,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":66,"categories":67,"keywords":73,"publishedAt":34},"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",[68],{"categoryNo":69,"categoryName":70,"taxonomyType":71,"taxonomyTypeDesc":72},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[74,75,76,77,78,79],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":81,"name":82,"nameZh":6,"description":83,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":84,"categories":85,"keywords":89,"publishedAt":34},"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",[86],{"categoryNo":87,"categoryName":88,"taxonomyType":71,"taxonomyTypeDesc":72},"01JBSEEDCAT000000000000023","Skill与智能体开发",[90,91,92,93,94,95,96,97,98,99,100,101,102,103,104],"workflow","planning","planning workflow","travel","travel planning","travel planning workflow","structured","performing","plan","for","user","it","requirements","essential","itineraries",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":34},"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",[],[112,113,114,115,116,117,118,93,119,120,94,121,99,122,91],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":129,"publishedAt":34},"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",[],[130,131,132,99,133,134,135,136,137,138,139,140,121,141,142],"glm output","output","glm","tasks","metrics","json","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":34},"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":87,"categoryName":88,"taxonomyType":71,"taxonomyTypeDesc":72},[151,142,132,131,137,136,133,152,153,99,154],"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":34},"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",[],[162,132,136,163,151,142,99,131,164,165,166,167,168,169,133],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]