peer-review

Peer review automation systematically evaluates manuscripts across methodology, statistics, reproducibility, ethics, and reporting standards. This Skill applies structured assessment criteria to generate organized reviewer reports with prioritized feedback, major comments, and actionable suggestions—saving reviewers time while ensuring comprehensive coverage of critical evaluation areas.

Yes, this Skill applies across disciplines to assess both manuscripts and grant proposals. It verifies adherence to reporting guidelines like CONSORT, STROBE, and PRISMA, checks statistical rigor, ethical compliance, data availability, and figure integrity—producing structured critique suitable for journal submissions and grant applications.

The Skill includes a mandatory image-based presentation review workflow. Convert your presentation PDF to images using pdftoppm, then evaluate slide images to identify visual formatting, content issues, and design problems that text-based review misses—ensuring comprehensive assessment of presentation quality.

This Skill verifies adherence to major reporting guidelines including CONSORT, STROBE, and PRISMA. It systematically assesses methodology, statistics, design, reproducibility, ethics, figure integrity, and data availability against discipline-specific standards—ensuring submissions meet journal and funding body requirements.

Yes, reproducibility and data availability assessment are core functions. The Skill evaluates whether methodology, datasets, and statistical approaches are reproducible, verifies ethical compliance, and checks that sufficient detail supports independent replication—generating actionable feedback on reproducibility gaps.

The Skill produces structured reviewer reports containing a clear summary statement, prioritized major and minor comments, and actionable feedback organized by evaluation category. Output is formatted for direct use in journal submissions or grant reviews, reducing manual report-writing time.