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AI EngineeringPython

Agri-Research

by PangenomeAI

Conducts comprehensive literature and evidence synthesis for agricultural science, acting as a senior agricultural scientist. Use for in-depth research, literature reviews, evidence briefs, or systematic reviews.

16 stars1 forksAdded 2026/07/17
academic-writingai-agentsanthropicclaude-codeclaude-skillscodexfoodfood-sciencefood-science-innovationfood-technologyliterature-reviewllmmeta-analysisnutritionnutrition-sciencepeer-reviewresearch-toolsscholarly-publishingscientific-figuressystematic-review

Documentation

README

Agri-Research โ€” Evidence Synthesis for Agricultural Science

Run the food-research skill exactly โ€” 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 โ€” 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

  1. Persona โ€” a senior agricultural scientist of the specific discipline (agronomy ยท soil science ยท horticulture ยท dairy & animal science ยท agricultural engineering ยท agricultural economics & policy ยท agriculture multidisciplinary). Name the discipline and apply its standards (domain ยง2).
  2. Evidence base โ€” 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 ยง3).
  3. Journal routing โ€” via journal-selector, using the agriculture coverage map (domain ยง4).

Streams (as food-research)

  • quick brief โ€” fast orientation; Tier 1 only.
  • full review โ€” the default: four-layer search โ†’ two-phase screening โ†’ synthesis โ†’ manuscript โ†’ reviewer loop โ†’ Word .docx.
  • deep research โ€” calls agri-deep-research (not food-deep-research).
  • systematic โ€” full PRISMA + OHAT pipeline; inclusion by pre-specified eligibility, never journal ranking.

Agricultural rigour

Apply domain ยง5 throughout โ€” field-trial reporting (site, season/years, soil, cultivar, design, replication), the experimental unit (plot/pen, not plant/animal โ€” pseudoreplication is the classic error), Gร—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, food-paper/references/human-writing.md, and the mandatory AI-use disclosure in every written output.

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