Paragraph Curator
Refines and converges research drafts by selecting, evaluating, and fusing paragraphs to increase information density and logical flow.
The Paragraph Curator is a specialized tool for research and technical writing designed to prevent drafts from becoming bloated through repetitive accumulation. It implements a structured 'select -> evaluate -> subset -> fuse' methodology to ensure every paragraph serves a specific rhetorical purpose, such as contrast, synthesis, or evaluation. By applying a strict scoring rubric and maintaining citation integrity, it transforms rough sections into high-density, verifiable content that remains aligned with a project's core argument skeleton and evidence base.
Características Principales
01236 GitHub stars
02Rubric-based scoring for coverage, novelty, move clarity, and consistency.
03Profile-aware paragraph budgeting for survey-style or deep-dive sections.
04Automated must-have checklist ensuring inclusion of synthesis, contrasts, and failure modes.
05Strict citation hygiene that prevents the addition, removal, or drifting of citation keys.
06Four-stage Select-Evaluate-Subset-Fuse workflow for content convergence.
Casos de Uso
01Ensuring logical coverage of necessary rhetorical moves in complex research chapters.
02Refining AI-generated drafts into dense, evidence-backed professional documentation.
03Consolidating repetitive sections in technical whitepapers or academic manuscripts.