regex-visual-debugger

Regex Visual Debugger

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Install skill "regex-visual-debugger" with this command: npx skills add onewave-ai/claude-skills/onewave-ai-claude-skills-regex-visual-debugger

Regex Visual Debugger

Interactive regex testing, explanation, and debugging tool.

When to Use This Skill

Activate when the user:

  • Provides a regex pattern to debug

  • Asks "why isn't my regex working?"

  • Needs a regex pattern explained

  • Wants to test regex against strings

  • Asks to convert regex between flavors (Python, JS, etc.)

  • Needs regex pattern suggestions

  • Mentions regular expressions or pattern matching

Instructions

Analyze the Regex Pattern

  • Parse the regex structure

  • Identify each component (groups, quantifiers, character classes)

  • Check for common syntax errors

  • Validate regex syntax for specified flavor

Provide Plain English Explanation

  • Break down pattern piece by piece

  • Explain what each part matches

  • Describe overall pattern behavior

  • Clarify quantifier greediness

  • Explain capture groups vs. non-capturing groups

Visual Breakdown

  • Show pattern structure hierarchically

  • Highlight groups and alternations

  • Indicate character classes and ranges

  • Mark anchors and boundaries

Test Against Examples

  • Test provided test strings

  • Show what matches and what doesn't

  • Highlight matched portions

  • Explain why matches succeed or fail

  • Show capture group contents

Identify Common Issues

  • Unescaped special characters

  • Incorrect quantifiers

  • Greedy vs. non-greedy issues

  • Anchor misplacement

  • Unclosed groups

  • Flavor-specific incompatibilities

Generate Test Cases

  • Create strings that should match

  • Create strings that should NOT match

  • Include edge cases

  • Test boundary conditions

Suggest Improvements

  • More efficient patterns

  • More readable alternatives

  • Performance optimizations

  • Edge case handling

Convert Between Flavors

  • Python (re module)

  • JavaScript

  • Perl

  • Java

  • .NET

  • PHP (PCRE)

Output Format

Regex Analysis: pattern

Plain English Explanation

This pattern matches [description]:

  • ^ - Start of string
  • [A-Z] - One uppercase letter
  • \d{3} - Exactly 3 digits
  • $ - End of string

Overall: Matches strings like "A123", "Z999"

Visual Structure

^ - Start anchor [A-Z] - Character class (uppercase letters) \d{3} - Digit, exactly 3 times $ - End anchor

Test Results

✅ Matches

  • A123 → ✓ Full match
  • Z999 → ✓ Full match

❌ No Match

  • a123 → ✗ Lowercase 'a' doesn't match [A-Z]
  • A12 → ✗ Only 2 digits (needs 3)
  • A1234 → ✗ Too many digits

Capture Groups

  1. Group 1: [captured text]
  2. Group 2: [captured text]

Issues Found

⚠️ Issue 1: Pattern is too restrictive

  • Problem: Doesn't handle lowercase letters
  • Fix: Use [A-Za-z] instead of [A-Z]

Suggested Improvements

# More flexible version
^[A-Za-z]\d{3,5}$

Changes:

- Added lowercase letters

- Changed {3}
 to {3,5}
 for 3-5 digits

Generated Test Cases

Should Match

A123
Z999
B456

Should NOT Match

1ABC    (starts with digit)
ABCD    (no digits)
A12     (too few digits)

Flavor-Specific Notes

JavaScript: [any JS-specific notes]
Python: [any Python-specific notes]

Conversion to Other Flavors

JavaScript

const pattern = /^[A-Z]\d{3}$/;
const match = str.match(pattern);

Python

import re
pattern = r'^[A-Z]\d{3}$'
match = re.match(pattern, string)

Performance Notes

- Current complexity: O(n)

- No backtracking issues

- Consider using non-capturing groups: (?:...)
 for better performance

## Examples

**User**: "Why doesn't this regex match emails: `\w+@\w+\.\w+`?"
**Response**: Analyze pattern → Explain it matches simple emails only → Show test cases (fails on "user+tag@domain.co.uk") → Identify issues (doesn't handle special chars, multiple TLDs) → Provide improved pattern → Generate comprehensive test cases

**User**: "Explain this regex: `^(?:(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)\.){3}(?:25[0-5]|2[0-4][0-9]|[01]?[0-9][0-9]?)$`"
**Response**: Break down pattern (IP address matcher) → Explain each component → Show it matches valid IPs (0-255 per octet) → Provide test cases → Visualize structure

**User**: "Convert this Python regex to JavaScript: `(?P<name>\w+)`"
**Response**: Identify named capture group (Python feature) → Convert to JS equivalent → Explain differences → Show both versions with usage examples

## Best Practices

- Always test regex with edge cases
- Explain in plain English first
- Show concrete examples (not just theory)
- Highlight common pitfalls for each pattern
- Provide both positive and negative test cases
- Consider performance implications
- Note flavor-specific features
- Suggest simpler alternatives when possible
- Use non-capturing groups for performance
- Escape special characters properly
- Be explicit about case sensitivity
- Test with Unicode characters if relevant

Source Transparency

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