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regex-vs-llm-structured-text - Regex vs LLM Framework for Structured Text Parsing

Decision framework and hybrid pipeline for parsing structured text using regex first and reserving LLM calls for low-confidence edge cases.

Tags

Updated: 2026-09-16

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Parse structured text with regex
  • Score extraction confidence
  • Identify low-confidence extracted items
  • Validate extractions with LLM
  • Execute hybrid document parsing pipeline

Inputs

  • Structured text content
  • Confidence threshold
  • LLM client instance

Outputs

  • List of parsed items
  • List of confidence flags

Requirements

  • Python runtime
  • LLM API access

Source

  • Spec: SKILL.md

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regex
llm
text-parsing
hybrid-pipeline
confidence-scoring
Parse structured text with regex
Score extraction confidence
Identify low-confidence extracted items
Validate extractions with LLM
Structured text content
Confidence threshold
LLM client instance
List of parsed items
List of confidence flags