Humanizer Skill is a utility library focused on transforming technical or machine-oriented text into expressions that are more natural, readable, and “human-friendly.” It provides a suite of algorithms that convert timestamps, identifiers, file sizes, code tokens, and structured data into phrases that resemble typical human phrasing rather than compact machine output. For example, date and time values can be expressed as relative terms (“two hours ago”), and file sizes can be shown in intuitive units instead of raw bytes. It also includes functions for transforming camelCase, snake_case, or PascalCase identifiers into spaced and capitalized representations suitable for user interfaces, reports, or documentation. Beyond text formatting, the library can handle pluralization, enumeration formatting (“A, B, and C”), and token expansion so that program-generated content feels more conversational.

Features

  • Natural language formatting for dates and times
  • Readable file size conversion with intuitive units
  • Identifier transformation (camelCase, snake_case, etc.)
  • Pluralization and enumeration formatting utilities
  • Conversational expansion of technical tokens
  • Easy integration into UIs, CLIs, and logs

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