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regex-vs-llm-structured-text

Decision framework for parsing structured text

by affaan-mFree

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#392in AI Skills
0In stores

Description

regex-vs-llm-structured-text is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It is a decision framework for pars…

Highlights

  • Regex-first hybrid pipelines
  • Reserves LLM calls for edge cases
  • Cost and accuracy trade-offs
  • Covers quizzes, forms, invoices and tables

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regex-vs-llm-structured-text FAQ

What does the regex-vs-llm-structured-text skill do?

It helps decide when to parse structured text with regular expressions and when to call an LLM, and designs a hybrid pipeline.

How much can regex handle?

The listing says regex handles 95 to 98 per cent of repeating patterns, leaving the rest to a model.

What kinds of documents does it suit?

Quizzes, forms, invoices, receipts and tables.

How do I install it?

Run: npx skills add https://github.com/affaan-m/ecc --skill regex-vs-llm-structured-text

Is it free?

Yes. It is free and open source.

Are there security findings?

The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.

What are the best regex-vs-llm-structured-text alternatives?

Popular alternatives to regex-vs-llm-structured-text include gemini, oracle and agent-architecture-audit. See all regex-vs-llm-structured-text alternatives

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