Food Review

Food Review is a Quality skill for Claude Code, published by PangenomeAI in academic-skills-food-nutrition.

16 stars1 forkson PangenomeAI/academic-skills-food-nutritionAdded 2026/07/16Repository updated 2026/07/17

academic-writingai-agentsanthropicclaude-codeclaude-skillscodexfoodfood-sciencefood-science-innovationfood-technologyliterature-reviewllmmeta-analysisnutritionnutrition-sciencepeer-reviewresearch-toolsscholarly-publishingscientific-figuressystematic-review

Install in seconds

Install Food Review

Copy Food Review into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/PangenomeAI/academic-skills-food-nutrition/tree/main/food-review ~/.claude/skills/food-review

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/PangenomeAI/academic-skills-food-nutrition.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: food-review/SKILL.md in PangenomeAI/academic-skills-food-nutrition
Installs to: ~/.claude/skills/food-review
Collection: One of 41 skills cataloged from this repository
Category: Quality — 1897 skills

What Food Review does

Multi-reviewer peer-review system that simulates an editorial panel for food and nutrition manuscripts, grounding critiques in cited sources and field literature. Use before submission for a rigorous check.

Food Review is cataloged under Quality on DirSkills. Food Review comes from a repository tagged academic-writing, ai-agents, anthropic, claude-code and claude-skills.

Documentation

README

Excerpt

Food-Review — Multi-Reviewer Peer Review for Food & Nutrition Manuscripts

Give the author the review a good food-science journal would return, from a panel rather than a single voice. Original work; architecture informed by open community peer-review skills (see the repo README Acknowledgements).

Modes

full (default) — the whole panel: three domain reviewers + devil's advocate + format check, synthesized by the coordinator into an editorial decision.
quick — coordinator + one blended reviewer pass; a fast readiness verdict.
methodology — deep dive by reviewer_methodology only.
re-review — re-assess a revised manuscript against the prior reports and the author's response, verifying each point was addressed.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Food Review

What else does PangenomeAI publish alongside Food Review?
Food Review is one of 41 skills that DirSkills catalogs from PangenomeAI/academic-skills-food-nutrition, the repository it ships in. Its siblings there include AAAS Science Family, Agri Deep Research and Agri Pipeline. Each one is a separate skill with its own page in this directory, installs the same way Food Review does, and is maintained by PangenomeAI in that same repository. The rest of the collection is listed on the PangenomeAI/academic-skills-food-nutrition page.
How does Food Review compare to other Quality skills?
Food Review ranks #1882 by stars among the 1897 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Food Review against them. Open each page to compare what they document and how they install.