smithery/OneWave-AI

regex-visual-debugger

Debug regex patterns with visual breakdowns, plain English explanations, test case generation, and flavor conversion. Use when user needs help with regular expressions or pattern matching.

Installation

$ npx skills add smithery/OneWave-AI --skill regex-visual-debugger

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More details

Agent compatibility

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,256 B
  • docs SUMMARY.md 217 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

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

  1. 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

  1. 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

  1. Visual Breakdown

- Show pattern structure hierarchically - Highlight groups and alternations - Indicate character classes and ranges - Mark anchors and boundaries

  1. 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

  1. Identify Common Issues

- Unescaped special characters - Incorrect quantifiers - Greedy vs. non-greedy issues - Anchor misplacement - Unclosed groups - Flavor-specific incompatibilities

  1. Generate Test Cases

- Create strings that should match - Create strings that should NOT match - Include edge cases - Test boundary conditions

  1. Suggest Improvements

- More efficient patterns - More readable alternatives - Performance optimizations - Edge case handling

  1. 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 "[email protected]") → 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