agri-deep-research

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.

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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

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npx skills add https://github.com/PangenomeAI/academic-skills-food-nutrition --skill agri-deep-research

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SKILL.md

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

# Agri-Deep-Research — Source-Validated Reviews for Agricultural Science **Run the `food-deep-research` skill exactly** — its 12-subagent team (`research_scope`, `research_architect`, `investigator`, `source_screener`, `source_verifier`, `bibliography`, `claim_verifier`, `synthesizer`, `critic`, `compiler`, `editor`, `ethics_reviewer`), both loops (evidence loop and compile↔review loop), and its source discipline — with the agriculture substitutions in [`agri-research/references/agriculture-domain.md`](../agri-research/references/agriculture-domain.md). Read that file first. No new machinery here. ## The substitutions 1. **Persona** — a **senior agricultural scientist of the specific discipline**; name it and apply its standards (domain §2). `research_architect` designs the method to that discipline's conventions. 2. **Evidence base** — `source_screener` ranks agriculture + multidisciplinary literature: **Tier 1** = Q1/Q2 of the seven agriculture categories ([`journals/_coverage_agriculture.md`](../journals/_coverage_agriculture.md)) + Nature/Science/Cell/PNAS + Q1/Q2 adjacent disciplines; **Tier 2** = Q3 for gaps; **Q4 avoided**. FAO/USDA/CGIAR/EFSA and extension sources are evidence with a source and date (domain §3). 3. **Journal routing** — `bibliography` and `compiler` format via `journal-selector` using the agriculture coverage map (domain §4); APA 7.0 by default. ## Source discipline (inherited, non-negotiable) Investigation and claim-checking operate **only on validated sources** — those that passed `source_screener` (ranking) **and** `source_verifier` (existence, venue legitimacy, retraction, predatory check). Every claim carries a source and locator; inference is labelled as inference; `[EVIDENCE GAP]` rather than filling from memory. ## Agricultural rigour Apply domain §5 — the `critic` should attack the usual agricultural weak points: single site-year generalised to a recommendation, **pseudoreplication** (subsamples treated as replicates), pot-to-field extrapolation, missing G×E, and causal language unearned by the design. ## Inherited unchanged (not optional) Four-gate citation verification (`scripts/verify_citations.py`), privacy scan, **academic style + AI-tell removal** (`food-paper/references/writing-style.md` with `human-writing.md`), and the **mandatory AI-use disclosure**. Also the **full-text-access first move** — `food-deep-research`'s highlighted, one-time request for the user's EndNote `.Data` folder / reference PDFs, and full-text extraction via the ladder before the evidence loop (`food-research/references/full-text-access.md`).

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food-ppt

Turn a food & nutrition review report, evidence brief, or manuscript into a fully EDITABLE PowerPoint (.pptx) that opens in PowerPoint / Keynote / Google Slides with every title, bullet, table, and figure as a native editable object — nothing flattened to an image. Converts the outputs of food-research, food-deep-research, food-paper, and food-pipeline (or any Word/PDF/Markdown/txt source) into a well-designed deck: it plans the outline, writes concise grounded slide text with presenter notes on every slide, places figures as movable picture objects, builds the .pptx via python-pptx, and QA-checks editability. Design informed by taste-skill. Use to make slides, a presentation, a PPT, or a deck from a report or paper. Triggers: make a PPT, create slides, presentation from my report, turn this review into slides, build a deck, PPTX from my paper, journal-club slides, conference presentation.

2026-08-11

agri-ppt

Turn an agricultural-science review report, evidence brief, or manuscript into a fully EDITABLE PowerPoint (.pptx) — every title, bullet, table, and figure a native editable object, nothing flattened to an image. Same machinery as food-ppt, but for agricultural work: converts the outputs of agri-research, agri-deep-research, agri-paper, and agri-pipeline (or any Word/PDF/Markdown/txt source) into a well-designed, grounded slide deck with presenter notes on every slide. Never invents content beyond the source. Use to make slides, a presentation, a PPT, or a deck from an agricultural report or paper. Triggers: make a PPT for my agronomy paper, slides from my soil science review, presentation from my field-trial report, agricultural journal-club slides, build a deck from my crop research.

2026-08-09

food-proposal

Master orchestrator for preparing research proposals and funding-application proposals in food, nutrition & agricultural science. Like food-pipeline, but for proposals: it resolves the target funding scheme's format first (headings, order, page/word limit, font, assessment criteria), then drafts from scratch (food-deep-research for the knowledge base, food-paper to write, food-review to review) or revises an existing draft after first understanding the field. Enforces the scheme's length limit and required headings and aligns content to the assessment criteria. Built-in schemes: ARC Discovery EOI, ARC Discovery Full Application, and the UoM Ag & Food project proposal; if a scheme isn't included it asks the user to upload the guideline and extracts the format. Triggers: write a grant proposal, ARC Discovery application, funding application, research proposal, project proposal, revise my grant, prepare an EOI.

2026-08-09

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agri-deep-research

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