review

Automating scientific document quality assurance involves running parallel AI reviewers to check language, citations, and argumentation simultaneously. This Skill requires chapter files in an output directory and a config.yaml to provide operational context for the review agents.

AI argumentation and citation review works by deploying specialized agents that evaluate logical flow and verify citation formatting. The process uses a multi-agent system running in parallel to provide immediate feedback on grammar, proper citations, and argument consistency for your thesis chapters.

Yes, you need a config.yaml file to check writing consistency because it supplies the operational context required by the review agents. You must also place your target chapter files in the output directory before initiating the review process.

The best way to check language and citation consistency is using a multi-agent approach that assigns distinct AI reviewers to each domain. This ensures comprehensive coverage of grammar, citation formatting, and logical argumentation without missing specialized errors.

Yes, you can review specific sections for argumentation issues by specifying the chapter number when initiating the review. Typing the review command followed by a chapter identifier targets the quality assurance process directly at that specific document section.

The writing review process requires chapter files in the output directory because the parallel AI reviewers need direct access to the text to evaluate language, citations, and argumentation. Without the correct file placement and operational context, the agents cannot parse the document.