regex-vs-llm-structured-text

What problem does it solve?

This Skill provides a framework to decide whether to use regular expressions or Large Language Models (LLMs) for parsing structured text, optimizing for cost and accuracy by prioritizing regex.

Core Features & Use Cases

• Decision Framework: Guides users on when to use regex versus LLMs for text parsing.
• Hybrid Approach: Enables building pipelines that combine regex for common cases and LLMs for difficult edge cases.
• Use Case: Parsing quiz questions from a document where most questions follow a standard format, but a few have unusual answer choices or formatting that requires LLM intervention.

Quick Start

Use the regex-vs-llm-structured-text skill to process the provided document content.