| name | agri-research |
| description | 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. |
| metadata | {"version":"1.0.0","verified":"2026-07","delegates_to":"food-research","related_skills":["agri-deep-research","agri-paper","agri-review","agri-pipeline","journal-selector","food-research"],"references":["references/agriculture-domain.md"]} |
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).
