regex-vs-llm-structured-text

SKILL.md

A practical decision framework for parsing structured text (quizzes, forms, invoices, documents). The key insight: regex handles 95-98% of cases cheaply and deterministically. Reserve expensive LLM calls for the remaining edge cases.

| Regex success rate | 98.0% | | Low confidence items | 8 (2.0%) | | LLM calls needed | 5 | | Cost savings vs all-LLM | 95% | | Test coverage | 93% |

Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases. Source: affaan-m/everything-claude-code.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/affaan-m/everything-claude-code --skill regex-vs-llm-structured-text Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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