How do I install the Agri Research skill?

Run npx skillmds@latest add pangenomeai/agri-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agri Research safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Agri Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agri Research free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Agri Research?

PangenomeAI (@pangenomeai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agri Research by pangenomeai — Agent Skill

Name: Agri Research
Author: PangenomeAI

Agri Research

Run a comprehensive, multi-source literature and evidence-synthesis workflow for agricultural science, as a senior agricultural scientist of the relevant discipline (agronomy, soil science, horticulture, dairy and animal science, agricultural engineering, or agricultural economics). Same machinery as food-research, but the evidence base is agriculture and multidisciplinary literature ranked by journal quartile: Q1/Q2 agriculture journals plus the Nature, Science, Cell and PNAS families first, Q3 only for gaps, Q4 avoided. Use to research an agricultural topic in depth, do a literature review, build an evidence brief, or scope a systematic review. Triggers: research this agricultural topic, agronomy literature review, soil science evidence synthesis, horticulture review, animal science evidence, crop research, farming systems review, what does the agricultural evidence say.

PangenomeAI Updated Sep 17, 2026

File contents

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. Read that file first. This skill adds no new machinery; it changes who is working, on what evidence, for which journal.

The substitutions

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).
Evidence base — agriculture + multidisciplinary literature, ranked by journal_ranker: Tier 1 = Q1/Q2 of the seven agriculture categories (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).
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, academic style + AI-tell removal (food-paper/references/writing-style.md with human-writing.md), and the mandatory AI-use disclosure in every written output. Also the full-text-access first move — food-research's highlighted, one-time request for the user's EndNote .Data folder / reference PDFs, and full-text extraction via the ladder before synthesis (food-research/references/full-text-access.md).

---name: agri-researchdescription: Run a comprehensive, multi-source literature and evidence-synthesis workflow for agricultural science, as a senior agricultural scientist of the relevant discipline (agronomy, soil science, horticulture, dairy and animal science, agricultural engineering, or agricultural economics). Same machinery as food-research, but the evidence base is agriculture and multidisciplinary literature ranked by journal quartile: Q1/Q2 agriculture journals plus the Nature, Science, Cell and PNAS families first, Q3 only for gaps, Q4 avoided. Use to research an agricultural topic in depth, do a literature review, build an evidence brief, or scope a systematic review. Triggers: research this agricultural topic, agronomy literature review, soil science evidence synthesis, horticulture review, animal science evidence, crop research, farming systems review, what does the agricultural evidence say.---# 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/OHATpipeline), gates, and output contracts — with the agriculture substitutions in[`references/agriculture-domain.md`](references/agriculture-domain.md). Read thatfile first. This skill adds no new machinery; it changes **who is working, on whatevidence, for which journal**.## The substitutions1. **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 rigourApply 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, ARRIVEfor 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-oncecontract, **academic style + AI-tell removal** (`food-paper/references/writing-style.md` with `human-writing.md`), and the **mandatory AI-usedisclosure** in every written output. Also the **full-text-access first move** —`food-research`'s highlighted, one-time request for the user's EndNote `.Data` folder/ reference PDFs, and full-text extraction via the ladder before synthesis(`food-research/references/full-text-access.md`).

Frequently asked questions