home / skills / jmerta / codex-skills / regex-builder
This skill helps you build, test, and explain regular expressions across engines with runnable verification and concise rationale.
npx playbooks add skill jmerta/codex-skills --skill regex-builderReview the files below or copy the command above to add this skill to your agents.
---
name: regex-builder
description: Build, test, and explain regular expressions against sample text or files using CLI tools (rg, python) and specific regex flavors. Use when asked to craft, debug, or validate regexes or search patterns.
---
# Regex builder
## Goal
Produce a correct, testable regex with rationale and runnable verification.
## Inputs to confirm (ask if missing)
- Target regex flavor/engine (PCRE, Python, JavaScript, .NET, RE2, etc.).
- Example matches and non-matches (at least 3 each when possible).
- Scope: single-line vs multi-line; file types/paths.
- Output needs: capture groups, named groups, replacement template.
## Workflow
1) Gather samples
- Ask for sample text or identify files.
- If files exist, locate with `rg --files` and preview with `rg -n`.
2) Choose tool
- Prefer `rg` for quick match checks; use `rg -P` for PCRE features.
- Use Python for detailed group inspection when needed.
3) Build incrementally
- Start with a minimal literal anchor; expand piece by piece.
- Add anchors/boundaries; handle whitespace and separators explicitly.
4) Validate
- Show a command to test against samples.
- Confirm no false positives by testing non-matches.
5) Deliver
- Provide final regex, flags, and explanation.
- Include a test command and expected match summary.
- Note any tradeoffs/backtracking risks.
## CLI snippets (use as needed)
- Ripgrep check:
- `rg -n "<regex>" path\\to\\file`
- `rg -n -P "<regex>" path\\to\\file`
- Python quick test (adjust quoting for the shell):
- `python -c "import re,sys;pat=re.compile(r'<regex>');data=sys.stdin.read();print([m.group(0) for m in pat.finditer(data)])" < path\\to\\file`
## Deliverables
- Regex + flags and any capture group map.
- Test command(s) and summary of matches/non-matches.
- Short explanation of the approach and known limitations.
This skill builds, tests, and explains regular expressions tailored to a specific regex flavor and sample data. It produces a correct, runnable pattern, verification commands for common CLI tools (rg, python), and a brief rationale. The output includes flags, capture group mapping, and known tradeoffs to help you safely deploy the regex.
I first gather the target regex engine and a set of positive and negative examples. I then construct the pattern incrementally, using literal anchors, boundaries, and explicit whitespace handling. Finally I validate the regex with suggested ripgrep or Python commands and report matches, false positives, and limitations.
What information do you need to start?
Tell me the regex flavor, a few matching and non-matching examples, scope (single/multi-line), and any required capture or replacement format.
Which tool do you use for quick checks?
I prefer ripgrep (rg) for fast file checks and use rg -P for PCRE. Use Python when you need detailed group output or cross-engine verification.