regex-patterns

Name: regex-patterns
Availability: InStock
Author: VibeKit

Provide regex patterns to validate, parse, and extract data from text.

Updated Aug 23, 2026

Search Tags:#validation #patterns #regex #parsing #data-extraction #log-analysis

Ready to run

npx skills add https://github.com/vibekit-apps/skills-registry --skill regex-patterns-vibekit-apps

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: regex-patterns
Source: https://github.com/vibekit-apps/skills-registry/tree/main/skills/regex
Command: npx skills add https://github.com/vibekit-apps/skills-registry --skill regex-patterns-vibekit-apps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Curated regular expression patterns to validate, parse, and extract data across languages, reducing trial-and-error in text-processing tasks.

Core Features & Use Cases

Validation patterns for emails, URLs, IPs, phones, and dates.
Parsing and extracting data from logs, text, and structured strings.
Debugging and refactoring regex with cross-language examples (JavaScript, Python, Go, and shell).

Quick Start

Use the email validation pattern on the string '[email protected]' to verify a match.

Frequently Asked Questions about regex-patterns

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

FAQPage Schema

How do I validate emails and URLs using regex patterns?▼

To validate emails and URLs using regex patterns, apply the provided curated expressions designed to match standard formats. These patterns reduce trial-and-error by offering ready-made validation rules for common data formats like emails and URLs.

What is the best way to parse data from log files using regex?▼

The best way to parse data from log files using regex is to apply curated extraction patterns structured for log analysis workflows. These patterns target structured strings to isolate specific data points from raw text logs.

Can I use these regex patterns for data extraction in Python and JavaScript?▼

Yes, you can use these regex patterns for data extraction in Python and JavaScript, as well as Go and shell. The patterns include cross-language examples to ensure compatibility across different programming environments.

How do I extract IPs and phone numbers from text using regex?▼

You extract IPs and phone numbers from text using regex by applying the specific validation and extraction patterns provided for those formats. The patterns match the structural rules of IPs and phone numbers to isolate them from larger text blocks.

Why does my regex pattern fail to match structured strings correctly?▼

Regex patterns fail to match structured strings correctly when they lack the precise syntax required for the format. The Skill provides debugging and refactoring guidance with examples to fix pattern mismatches and improve extraction accuracy.

Do I need specific libraries to apply regex patterns for input validation?▼

No, you do not need specific external libraries to apply regex patterns for input validation. The patterns utilize built-in regex engines available natively in JavaScript, Python, Go, and shell environments.