Analysis updated 2026-05-18
Extract a target journal's writing patterns from 5 to 8 of its published papers
Generate an editable revision guide describing a journal's local conventions
Revise a manuscript section by section with a logged history of every change
| wantongc/journal-adapt-writing-skill | simonlin1212/tradingagents-astock | gair-nlp/livetalk | |
|---|---|---|---|
| Stars | 312 | 312 | 310 |
| Language | — | Python | Python |
| Setup difficulty | moderate | moderate | hard |
| Complexity | 2/5 | 3/5 | 5/5 |
| Audience | researcher | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Works with Claude Code and needs PDF or Markdown sample papers from the target journal.
This tool helps researchers and academics revise their manuscripts to match the writing style of a specific academic journal. The problem it solves: even well-written papers get rejected partly because different journals have different conventions for how to structure arguments, frame contributions, and present results. Reading and manually adapting to those conventions is time-consuming. The way it works is a two-layer approach. First, you can load optional reusable "static" rules, things like discipline-specific conventions or general academic writing guidelines. Second, and more importantly, you provide a small set of actual published papers from your target journal (around 5-8 papers is the recommended starting point). The tool analyzes this corpus to extract the journal's local writing patterns and produces a visible, editable revision guide. An AI agent then uses that guide to revise your manuscript section by section, keeping a log of every change made. You would use this when preparing to submit a paper to a competitive journal and wanting your writing style to match what that journal actually publishes, not just generic academic writing rules. The output is a set of revised section files plus a revision summary, ready to be transferred into your LaTeX or Word document. It works with Claude Code and supports PDF or Markdown inputs.
An AI tool that revises academic manuscripts to match the writing style of a specific target journal using sample papers.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly researcher.
This repo across BitVibe Labs
Verify against the repo before relying on details.