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A comprehensive quick reference for the Option type within fp-ts. This pattern is crucial for handling nullable, optional, or potentially missing values in a functional and type-safe manner. It allows developers to safely compose operations (mapping, flatMapping) on data that might not exist, eliminating verbose null checks and ensuring robust, predictable code flow in TypeScript.

Generate output schema files (dataset_schema.json, output_schema.json, key_value_store_schema.json) for Apify Actors by analyzing source code. Helps create or update Actor output schemas with proper field definitions, nullable settings, and display views. Follows existing repository conventions and reuses type definitions.

This skill provides a quick reference for the fp-ts Option type in TypeScript. It helps developers handle nullable values and optional data without null checks. The guide covers creating Options, transforming values with map and flatMap, extracting values safely, and common patterns like safe property access. It also compares Option with standard nullable types to highlight composability.

A practical, jargon-free guide to fp-ts functional programming, focusing on the 80/20 approach that yields results without academic overhead. Ideal for TypeScript developers handling nullable values, errors, or async operations, and for refactoring imperative code to functional style.

This skill provides a quick reference for fp-ts types in TypeScript. It helps users decide between Option, Either, Task, and TaskEither types based on whether operations are async or involve errors. It includes common imports, one-line patterns for wrapping nullable values, and pattern matching examples. Ideal for developers needing type selection guidance or import statements for functional programming tasks.