---
name: Agri-Research
slug: agri-research
category: AI Engineering
description: Conducts comprehensive literature and evidence synthesis for agricultural science, acting as a senior agricultural scientist. Use for in-depth research, literature reviews, evidence briefs, or systematic reviews.
github: "https://github.com/PangenomeAI/academic-skills-food-nutrition/tree/main/agri-research"
language: Python
stars: 16
forks: 1
install: "git clone https://github.com/PangenomeAI/academic-skills-food-nutrition"
added: 2026-07-17T07:09:58.435Z
last_synced: 2026-07-17T07:09:58.435Z
canonical_url: "https://dirskills.com/skills/agri-research"
---

# Agri-Research

Conducts comprehensive literature and evidence synthesis for agricultural science, acting as a senior agricultural scientist. Use for in-depth research, literature reviews, evidence briefs, or systematic reviews.

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

## README

# Agri-Research — Evidence Synthesis for Agricultural Science

**Run the `food-research` skill exactly** — its streams, subagents
(`search_strategist`, `source_scout`, `screener_appraiser`, `journal_ranker`,
`synthesis`, `writer`, `reviewer`, and the full `systematic_reviewer` PRISMA/OHAT
pipeline), gates, and output contracts — with the agriculture substitutions in
[`references/agriculture-domain.md`](references/agriculture-domain.md). Read that
file first. This skill adds no new machinery; it changes **who is working, on what
evidence, for which journal**.

## The substitutions
1. **Persona** — a **senior agricultural scientist of the specific discipline**
   (agronomy · soil science · horticulture · dairy & animal science · agricultural
   engineering · agricultural economics & policy · agriculture multidisciplinary).
   Name the discipline and apply its standards (domain §2).
2. **Evidence base** — agriculture + multidisciplinary literature, ranked by
   `journal_ranker`: **Tier 1** = Q1/Q2 of the seven agriculture categories
   ([`journals/_coverage_agriculture.md`](../journals/_coverage_agriculture.md), 230
   journals) + Nature/Science/Cell/PNAS + Q1/Q2 of adjacent disciplines; **Tier 2** =
   Q3 for gaps only; **Q4 avoided**. Authoritative non-journal sources (FAO, USDA,
   CGIAR, EFSA, extension services) count as evidence with a source and date
   (domain §3).
3. **Journal routing** — via `journal-selector`, using the agriculture coverage map
   (domain §4).

## Streams (as `food-research`)
- **quick brief** — fast orientation; Tier 1 only.
- **full review** — the default: four-layer search → two-phase screening → synthesis
  → manuscript → `reviewer` loop → Word `.docx`.
- **deep research** — calls **`agri-deep-research`** (not `food-deep-research`).
- **systematic** — full PRISMA + OHAT pipeline; **inclusion by pre-specified
  eligibility, never journal ranking**.

## Agricultural rigour
Apply domain §5 throughout — field-trial reporting (site, season/years, soil,
cultivar, design, replication), **the experimental unit** (plot/pen, not plant/animal
— pseudoreplication is the classic error), G×E and season-to-season variation, ARRIVE
for animal work, and no extrapolation from pot to field or region to region.

## Inherited unchanged (not optional)
Anti-fabrication grounding and the four-gate citation check
(`scripts/verify_citations.py`), the privacy scan, `journal-selector`'s ask-once
contract, `food-paper/references/human-writing.md`, and the **mandatory AI-use
disclosure** in every written output.