regex-builder

Convert positive and negative examples into tested regex patterns with Python and JavaScript code.

310|45|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/Mathews-Tom/praxis-skills --skill regex-builder-mathews-tom
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: regex-builder
Source: https://github.com/Mathews-Tom/praxis-skills/tree/main/skills/regex-builder
Command: npx skills add https://github.com/Mathews-Tom/praxis-skills --skill regex-builder-mathews-tom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Regex design is error-prone and time-consuming when translating user requirements into patterns. This skill automates the transformation of positive and negative examples into tested regex patterns with component explanations and ready-to-use code for Python and JavaScript.

Core Features & Use Cases

  • Automated pattern derivation: Converts explicit examples into a validated regex with documentation for each component.
  • Multi-language support: Generates Python re and JavaScript regex equivalents, plus usage guidance.
  • Edge-case aware: Produces test cases and notes on common pitfalls, performance considerations, and Unicode handling.

Quick Start

Provide a small set of positive and negative examples and run the tool to generate a tested regex.

Frequently Asked Questions about regex-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a regex pattern from positive and negative examples?

You can generate a regex pattern by supplying positive and negative examples to derive a validated expression. The output includes tested regex, component explanations, and Python or JavaScript code.

Can I create JavaScript and Python regex equivalents for data validation?

Yes, creating JavaScript and Python regex equivalents for data validation is supported by choosing a target flavor. The tool outputs tested patterns, usage notes, and edge-case tests for both languages.

What is the best way to build a regex for text parsing across diverse data formats?

The best way to build a regex for text parsing across diverse data formats is deriving a pattern from explicit examples. This outputs a tested regex with documentation, edge-case tests, and performance notes.

Does this regex generator handle edge cases and Unicode text processing?

Yes, this regex generator handles edge cases and Unicode text processing by producing targeted test cases. It outputs usage notes documenting common pitfalls, performance considerations, and Unicode behavior.

How do I get component-level explanations for a complex regex pattern?

You get component-level explanations for a complex regex pattern by deriving the expression from positive and negative examples. The tool returns documentation explaining each pattern component.