regex-writer

What This Skill Does

The regex-writer skill acts as an intelligent translator between human language and regular expression syntax. For many developers and data analysts, the complexity of PCRE or POSIX regex is a significant barrier to productivity. This skill automates the construction of patterns, allowing you to focus on the objective—such as data validation, string extraction, or pattern matching—rather than syntax nuances. By leveraging AI to draft these patterns, you eliminate the "trial and error" loop typical of regex development.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/lxgicstudios/regex-writer Once installed, the npx ai-regex command becomes available for generating patterns directly via your CLI.

Use Cases

This skill is highly versatile and serves several professional domains:

• Data Validation: Quickly generate patterns for form inputs, ensuring user-provided data matches required formats like ZIP codes, postal codes, or alphanumeric IDs.
• Log Parsing: Create complex patterns to extract specific error codes, timestamps, or IP addresses from unstructured server logs.
• Data Cleaning: Use the skill to identify and replace patterns in large datasets during ETL (Extract, Transform, Load) processes.
• Web Scraping: Define precise target strings for data extraction from raw HTML or text content.

Example Prompts

1. "regex-writer: create a regex that captures all hexadecimal color codes starting with a hash symbol, supporting both 3 and 6 character variants."
2. "regex-writer: I need a regex to match lines in a CSV file that do not contain a comma as a separator, flagging them as malformed rows."
3. "regex-writer: generate a regex that validates passwords consisting of at least 8 characters, including one uppercase letter, one number, and one special character."

Tips & Limitations

• Context is Key: When providing descriptions, be as specific as possible. Instead of "match dates," use "match dates in YYYY-MM-DD format."
• Verification: Always test the generated regex against a sample of your data using tools like Regex101 or your language's native unit testing framework before deploying it to production.
• Complexity Limits: Extremely complex nested logic may occasionally require manual refinement. If the AI output feels overly broad, provide additional constraints or negative lookaheads to tighten the matching criteria.