regex-vs-llm-structured-text

What problem does it solve?

Structured text such as quizzes, forms, and documents often require accurate extraction, but can drift with edge cases; this skill combines regex-first parsing with a confidence-based fallback to LLM only when needed.

Core Features & Use Cases

• Regex-based extraction for well-defined patterns
• Confidence scoring to flag low-confidence items
• LLM-based fallback to handle edge cases in forms and quizzes

Quick Start

Provide a sample structured text and I will parse it with regex-first extraction, escalating to LLM only for low-confidence cases.