Generates, explains, and tests regular expressions for JavaScript, Python, and Java.
npx skills add https://github.com/ntaksh42/agents --skill regex-helper
Please help me install this Agent Skill. Skill: regex-helper Source: https://github.com/ntaksh42/agents/tree/main/.claude/skills/regex-helper Command: npx skills add https://github.com/ntaksh42/agents --skill regex-helper
This Skill simplifies the creation, understanding, and testing of complex regular expressions, saving developers time and reducing errors in pattern matching.
Use the regex-helper skill to generate a regular expression for validating Japanese postal codes in the format 123-4567, supporting both hyphenated and non-hyphenated versions, and include test cases.
High-intent search queries and answers about installing and using this skill.
You can generate regular expressions by describing your matching requirements in plain text. The skill translates natural language into optimized regex patterns and provides relevant test cases for validation.
To explain an existing regular expression, provide the pattern to receive a clear, human-readable description. This breaks down complex syntax like lookaheads and character classes into understandable terms.
Yes, it supports regular expression generation, explanation, and testing across multiple languages including JavaScript, Python, Java, and Go. It provides examples of strings that match and do not match the pattern.
You can optimize inefficient regular expressions by submitting the pattern for refactoring. The skill analyzes the syntax and provides a more performant version while maintaining the same pattern matching logic.
Yes, you can validate specific formats like Japanese postal codes. The skill creates patterns supporting various formats, such as hyphenated and non-hyphenated versions, complete with matching test cases.
While the skill supports advanced features like lookaheads and character class optimizations, complex patterns may impact performance. You can request optimized alternatives to ensure efficient data validation.
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