regex-visual-debugger
$
npx mdskill add OneWave-AI/claude-skills/regex-visual-debuggerInteractive regex testing, explanation, and debugging tool.
SKILL.md
.github/skills/regex-visual-debuggerView on GitHub ↗
---
name: regex-visual-debugger
description: 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.
---
# 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
2. **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
3. **Visual Breakdown**
- Show pattern structure hierarchically
- Highlight groups and alternations
- Indicate character classes and ranges
- Mark anchors and boundaries
4. **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
5. **Identify Common Issues**
- Unescaped special characters
- Incorrect quantifiers
- Greedy vs. non-greedy issues
- Anchor misplacement
- Unclosed groups
- Flavor-specific incompatibilities
6. **Generate Test Cases**
- Create strings that should match
- Create strings that should NOT match
- Include edge cases
- Test boundary conditions
7. **Suggest Improvements**
- More efficient patterns
- More readable alternatives
- Performance optimizations
- Edge case handling
8. **Convert Between Flavors**
- Python (re module)
- JavaScript
- Perl
- Java
- .NET
- PHP (PCRE)
## Output Format
```markdown
# 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
```regex
# 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
```javascript
const pattern = /^[A-Z]\d{3}$/;
const match = str.match(pattern);
```
### Python
```python
import re
pattern = r'^[A-Z]\d{3}$'
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
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