How does it handle sentence length?

It uses a stochastic approach to mix short, medium, and long sentences, ensuring that consecutive sentences do not have the same length to avoid a monotonous rhythm.

Does this skill move or delete my citations?

No, the core principle of the LaTeX Rhythm Refiner is to preserve all citations exactly in their original semantic context; it never moves a citation to a different claim.

Can I use this during the initial drafting phase?

It is recommended for use after LaTeX content generation is complete, as its primary purpose is post-processing for readability and flow.

Will it change my technical data or LaTeX structure?

No, the skill is strictly constrained from altering LaTeX commands, environments, figure/table references, or the technical claims within your data.

LaTeX Rhythm Refiner

Name: LaTeX Rhythm Refiner
Author: renocrypt

byrenocrypt

•

데이터 과학 및 ML

Refines LaTeX academic prose by optimizing sentence rhythm, removing filler phrases, and preserving citation integrity.

소개

The LaTeX Rhythm Refiner is a specialized post-processing tool designed for academic writing in LaTeX, particularly for ML/AI arXiv papers and technical documentation. It enhances the readability and flow of complex documents by stochastically varying sentence and paragraph lengths to eliminate monotonous text blocks. By stripping away redundant filler phrases and unnecessary transitions while strictly preserving all citations and technical claims, this skill transforms dense technical drafts into polished, publication-ready prose without compromising the underlying research data or structure.

주요 기능

84 GitHub stars
Preserves all \cite{...} commands and their original semantic context
Stochastically varies sentence lengths (5-35 words) to improve reading flow
Optimizes paragraph boundaries to balance emphasis and exposition
Automatically removes academic fillers like 'it is worth noting that' and 'due to the fact that'
Tightens technical prose by preferring active voice and concrete verbs

사용 사례

Polishing an AI/ML arXiv paper for submission to improve readability for reviewers
Breaking up dense, repetitive blocks of text in a LaTeX-based thesis or dissertation
Finalizing technical documentation by removing redundant transitions and filler words

소개

주요 기능

84 GitHub stars
Preserves all \cite{...} commands and their original semantic context
Stochastically varies sentence lengths (5-35 words) to improve reading flow
Optimizes paragraph boundaries to balance emphasis and exposition
Automatically removes academic fillers like 'it is worth noting that' and 'due to the fact that'
Tightens technical prose by preferring active voice and concrete verbs

사용 사례

Polishing an AI/ML arXiv paper for submission to improve readability for reviewers
Breaking up dense, repetitive blocks of text in a LaTeX-based thesis or dissertation
Finalizing technical documentation by removing redundant transitions and filler words