Run3 scala functional parsing and error handling

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

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npx -y skills add cxcscmu/SkillLearnBench --skill run3_scala-functional-parsing-and-error-handling

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Implement idiomatic Scala logic for parsing temporal/numeric data and handling batch processing using functional transformations and error types.

1.3 KB, as published. Nobody here has run it

Avoid returning null or throwing exceptions for expected failures (e.g., failed parsing). Use:

Option[Token]: When a result might be absent.
Either[String, Token]: When you need to provide an error message upon failure.

Numeric: Use String.toDoubleOption or String.toIntOption to safely convert strings to numbers. If using a version where these aren't available, wrap the logic in scala.util.Try(s.toDouble).toOption.
Temporal: Use the java.time package (e.g., LocalDateTime, ZonedDateTime) and DateTimeFormatter. Wrap parsing logic in a functional container to handle malformed date strings gracefully.

Instead of manual loops, use Scala's collection API for tokenizeBatch:

Use .map(tokenize) to transform a sequence of inputs into a sequence of tokens.
Use .flatMap if the tokenization process returns an Option and you wish to filter out unsuccessful attempts.

Prefer Scala's standard library over reinventing logic. For example, use s.split("\\s+") or Regex for WhitespaceTokenizer logic.