regex-expert

Regular expressions for email validation must be translated across PCRE, JavaScript, Python, Rust, Go, and POSIX flavors to ensure consistent matching. This skill provides cross-engine guidance and tested examples so your pattern handles edge cases reliably in each environment.

Debugging a regex pattern involves breaking it into plain-English explanations alongside test inputs to verify correctness. This skill provides step-by-step reasoning for complex patterns, highlighting typical pitfalls and edge cases to ensure your text-processing logic behaves as expected.

Pattern matching extracts numbers and parses log lines by crafting regex patterns tailored to your text structure. This skill helps you build, explain, and optimize these patterns with example matches, ensuring reliable data extraction across supported regex engines.

Regex guidance here supports POSIX and Go flavors alongside PCRE, JavaScript, Python, and Rust. It translates patterns across all six engines, explaining flavor-specific differences so you can implement data validation or parsing without compatibility surprises.

Optimizing regular expressions for input validation requires analyzing pattern structure, identifying inefficiencies, and testing against edge cases. This skill guides you through crafting efficient patterns with clear explanations and example matches to ensure robust validation across different regex flavors.

Regex patterns fail across engines due to flavor differences in syntax, lookbehind support, and character class handling between Python, JavaScript, Go, and others. This skill identifies these discrepancies and translates your pattern correctly for each target environment.