Agri Deep Research

Agri Deep Research is an AI Engineering skill for Claude Code, published by PangenomeAI in academic-skills-food-nutrition.

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

View source on GitHub Download repo ZIP

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

Install in seconds

Install Agri Deep Research

Copy Agri Deep 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/agri-deep-research ~/.claude/skills/agri-deep-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: agri-deep-research/SKILL.md in PangenomeAI/academic-skills-food-nutrition
Installs to: ~/.claude/skills/agri-deep-research
Collection: One of 41 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What Agri Deep Research does

Performs deep, source-validated literature reviews on agricultural questions using a 12-subagent AI system with rigorous source screening and academic integrity checks.

Agri Deep Research is cataloged under AI Engineering on DirSkills. Agri Deep Research comes from a repository tagged academic-writing, ai-agents, anthropic, claude-code and claude-skills.

Documentation

README

Excerpt

Agri-Deep-Research — Source-Validated Reviews for Agricultural Science

Run the food-deep-research skill exactly — its 12-subagent team (research_scope, research_architect, investigator, source_screener, source_verifier, bibliography, claim_verifier, synthesizer, critic, compiler, editor, ethics_reviewer), both loops (evidence loop and compile↔review loop), and its source discipline — with the agriculture substitutions in agri-research/references/agriculture-domain.md. Read that file first. No new machinery here.

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

Frequently asked about Agri Deep Research

What else does PangenomeAI publish alongside Agri Deep Research?
Agri Deep 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 Pipeline and Agri Ppt. Each one is a separate skill with its own page in this directory, installs the same way Agri Deep 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 Agri Deep Research compare to other AI Engineering skills?
Agri Deep Research ranks #3607 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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 Agri Deep Research against them. Open each page to compare what they document and how they install.