Deep research producing a fully written, source-validated literature review on an agricultural question, as a senior agricultural scientist of the relevant discipline: scope, design the method, discover and screen by journal ranking, validate every source, extract and verify evidence, synthesize, stress-test, then write and format the review through an editorial and integrity loop. Same 12-subagent machinery as food-deep-research, grounded in agriculture and multidisciplinary literature (Q1/Q2 preferred, Q4 avoided). Use standalone for an agricultural deep dive, or as the engine called by agri-research. Triggers: deep research agriculture, investigate this agronomy question, agricultural literature review, state of the evidence in soil science, deep dive crop research.
$npx -y skills add pangenomeai/academic-skills-food-nutrition --skill agri-deep-researchInstalls into the current project.
Run `npx skills use "https://github.com/pangenomeai/academic-skills-food-nutrition" --skill "pangenomeai/academic-skills-food-nutrition/agri-deep-research"` 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.