Regex Builder

    2

    Convert plain English into tested regex patterns and explain existing ones across multiple language flavors.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    Generate a regex for a URL slug that only contains lowercase letters, numbers, and hyphens, ensuring it doesn't start or end with a dash.

    Your agent does

    Pattern: /^[a-z0-9]+(?:-[a-z0-9]+)$/ Summary: Matches a valid URL slug. Breakdown: ^ : Start of string [a-z0-9]+ : One or more alphanumeric chars (?:-[a-z0-9]+) : Optional groups of a hyphen followed by chars $ : End of string Match: "my-post-2024" No Match: "-invalid-"

    What you get

    Generate flavor-specific regex for JS, Python, Go, Rust, and PHP.Translate complex legacy regex patterns into plain English explanations.Verify patterns with 5 automatically generated match/no-match test cases.Produce ready-to-use boilerplate code for pattern implementation.

    About this skill

    What it does

    The Regex Builder is a dual-mode utility designed to eliminate the frustration of working with regular expressions. It functions as both a generator and a translator: it can convert complex natural language requirements into optimized regex patterns, or take an existing arcane regex string and break it down into a human-readable explanation.

    How it works

    For developers building new features, the skill parses intent (data type, constraints, and context) to construct patterns tailored to specific language flavors including JavaScript, Python, Go, Rust, and PHP. In reverse, the "Explain Mode" performs a token-by-token analysis of any provided regex to reveal exactly what it matches and where it might fail.

    Why use this skill

    Unlike general-purpose AI prompting, this skill follows a structured architectural process: it accounts for engine-specific limitations (like RE2's lack of lookarounds), provides validated test cases (3 matches, 2 non-matches), and generates ready-to-run code snippets. It ensures your patterns are not just syntactically correct, but also optimized for your specific programming environment.

    Output format

    • Flavor-Specific Patterns: Correct syntax for your chosen language engine.
    • Logical Breakdowns: Token-by-token explanations of what every metacharacter does.
    • Unit Tests: Concrete examples of strings that will and will not match.
    • Implementation Code: Boilerplate snippets for immediate integration.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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