What problem does it solve?
This Skill turns Word (.docx) or PDF academic manuscripts into structured, reviewer-style feedback with visible revision markers, so you can quickly see what to change and why.
Core Features & Use Cases
- Paragraph-level extraction: Extracts numbered paragraph text from .docx or automatically converts .pdf to .docx before processing.
- Two output modes: Generates either a visual review (delete/insert/annotate styling) or tracked-changes style suitable for Word (WPS compatibility limited).
- Reviewer-grade critique: Produces feedback across structure, language, and academic norm dimensions (e.g., thesis clarity, literature review quality, method transparency, argumentation, citation practices).
- Deterministic application via JSON: Requires a Python-generated revisions JSON to precisely locate and apply replacements, comments, and deletions.
Quick Start
Ask the assistant to review the paper you uploaded and produce a visual annotated Word document highlighting suggested deletions, additions, and reviewer comments.