A fast, pure-stdlib Python utility that parses regular expressions into visual component trees with plain-English explanations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install axiom-regex-visualizer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install axiom-regex-visualizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Axiom Regex Visualizer?
Axiom Regex Visualizer is a highly efficient, lightweight tool designed to take the headache out of deciphering regular expressions. Operating completely offline with Python's standard library and zero LLM dependencies, this utility parses any regex pattern and constructs a highly readable visual tree. Developers can easily inspect complex logic, including anchors, quantifiers, and groups, without relying on external APIs.
As part of the Openclaw Skills ecosystem, Axiom Regex Visualizer bridges the gap between raw pattern matching and developer understanding. Whether you are maintaining legacy codebases or onboarding new developers, integrating this skill into your workflow provides instant, human-readable explanations of pattern structures, accelerating debugging and documentation phases.
Axiom Regex Visualizer Use Cases
- Deconstruct Legacy Code: Demystify complex, poorly documented regular expressions written by other developers.
- Auto-Document Patterns: Generate clear, plain-English explanations of regex structures for inline code comments or markdown documentation.
- Debug Matching Issues: Analyze the structural parsing of Python regex syntax to pinpoint structural anomalies and edge cases before runtime validation.
How Axiom Regex Visualizer Works
- Input Parsing: The tool accepts a target regular expression string via the CLI or Python API.
- Syntax Analysis: It processes the pattern token-by-token using pure standard library methods, categorizing anchors, groups, quantifiers, and character classes.
- Tree Generation: A visual representation of the regex hierarchy is constructed dynamically.
- English Translation: The structured parser converts the abstract syntax tree into a sequential, plain-English description explaining what each component matches.
Axiom Regex Visualizer Setup
To start using Axiom Regex Visualizer within your ecosystem or as a standalone CLI tool, follow these configuration steps:
Installation
Ensure you have Python 3 installed. Since this is a pure standard library tool, there are no heavy external dependencies to install.
# Download the visualizer script
curl -O https://raw.githubusercontent.com/axiom-tools/axiom-regex-visualizer/main/axiom_regex_visualizer.py
CLI Usage
Run the script directly from your terminal by passing the regex string as an argument:
python3 axiom_regex_visualizer.py "^\\b\\d{3}-\\d{4}\\b$"
Python API Usage
Import the parsing and explanation modules directly into your workspace:
from axiom_regex_visualizer import parse, explain
# Parse pattern
tree = parse(r'\\b\\d{3}-\\d{4}\\b')
# Generate plain-English explanation
explain(tree)
Axiom Regex Visualizer Data Schema & Taxonomy
Axiom Regex Visualizer does not persist external databases but instead transforms patterns into structured token definitions. This tool is highly optimized to work as a component within Openclaw Skills pipelines.
Parsing Output Schema
| Attribute | Type | Description |
|---|---|---|
type |
String | The category of regex token (e.g., Group, Quantifier, Anchor, Literal) |
value |
String | The raw regex substring parsed |
description |
String | Human-readable explanation of the current node's behavior |
children |
Array | Nested regex components within groups or parent expressions |
Validation & Performance Metadata
- Performance: Computation takes less than 100ms per pattern.
- Security: Pure Python standard library implementation ensures zero shell injection risks.
- Determinism: Outputs are strictly byte-to-byte stable and highly repeatable.
Axiom Regex Visualizer Advanced Features
- Pure Stdlib Engine: Operates independently of heavy machine learning modules or external API calls, guaranteeing maximum privacy and low latency.
- Detailed Plain-English Explanations: Converts nested, complex groups into a sequential reading format that any developer or stakeholder can easily understand.
- Stable Output Validation: Ensures deterministic results across 20+ built-in test suites, ideal for continuous integration pipelines.
- Extensible Integration: Designed for seamless inclusion within broader Openclaw Skills frameworks to assist automated coding assistants.
SKILL.md
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