Food Research

Food Research is a Data 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 Research

Copy Food Research 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-research ~/.claude/skills/food-research

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-research/SKILL.md in PangenomeAI/academic-skills-food-nutrition
Installs to: ~/.claude/skills/food-research
Collection: One of 41 skills cataloged from this repository
Category: Data — 812 skills

What Food Research does

Comprehensive literature and evidence-synthesis workflow for food & nutrition science. Use for in-depth research, literature reviews, evidence briefs, or systematic reviews.

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

Documentation

README

Excerpt

Food-Research — Comprehensive Evidence Synthesis for Food & Nutrition Science

Build a broad, defensible understanding of a topic by searching many sources, screening them consistently, and synthesizing across them. Original work; no third-party research text is reused. Architecture informed by open community literature-search skills (see Acknowledgements in the repo README).

Streams — pick one and when to use it

Four streams share the same search/screening machinery but differ in depth. Three of them (quick brief, full review, deep research) prioritize sources by journal ranking via journal_ranker; the systematic stream does not (inclusion is by pre-specified eligibility, not prestige).

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

Frequently asked about Food Research

What else does PangenomeAI publish alongside Food Research?
Food Research 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 Research 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 Research compare to other Data skills?
Food Research ranks #804 by stars among the 812 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. 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 Research against them. Open each page to compare what they document and how they install.