Multi-reviewer peer-review system for food & nutrition manuscripts. Simulates an editorial panel — a coordinating editor, three domain reviewers (methodology/statistics, domain/novelty, integrity/ethics), and a devil's advocate — plus a formatting-compliance check against the target journal (APA 7.0 by default, or a specific journal via journal-selector). Grounds the panel first: reads the manuscript's cited sources and the field's key literature into a knowledge base, so novelty and correctness are judged from evidence, not impression. Use for pre-submission review, reviewer reports, mock peer review, or a critique before submitting. Triggers: review my paper, peer review, referee report, reviewer reports, critique my manuscript, pre-submission review, is my paper ready, mock review, editorial review, assess novelty and rigor.
$npx -y skills add pangenomeai/academic-skills-food-nutrition --skill food-reviewInstalls into the current project.
Run `npx skills use "https://github.com/pangenomeai/academic-skills-food-nutrition" --skill "pangenomeai/academic-skills-food-nutrition/food-review"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/pangenomeai/academic-skills-food-nutrition" that are relevant to the current task. Run `npx skills add "https://github.com/pangenomeai/academic-skills-food-nutrition"` and select the relevant skills, then follow their instructions.