agri-research

Solid

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.

AI & Automation 19 stars 2 forks Updated 4 days ago MIT

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Quality Score: 84/100

Stars 20%
43
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# 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). ## Str...

Details

Author
PangenomeAI
Repository
PangenomeAI/academic-skills-food-nutrition
Created
2 weeks ago
Last Updated
4 days ago
Language
Python
License
MIT

Integrates with

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