Skip to main content

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.

インストールへ移動

ソース情報

リポジトリ
PangenomeAI/academic-skills-food-nutrition
ソースの最終更新活動
2026年7月23日 07:23
検出された SKILL.md の言語
英語
スター
32
フォーク
3

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

ファイルエクスプローラー
2 ファイル

SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
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`](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, **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`).
GitHubで見る