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.