Agri-Paper — Manuscript System for Agricultural Science
SkillAI & modelsMulti-subagent manuscript system for agricultural science, written as a senior agricultural scientist of the relevant discipline: understand the field, frame questions, curate data, run statistics, build figures and tables, construct the discussion, draft, polish, and self-review — journal-aware throughout. Same machinery as food-paper, grounded in agriculture literature (Q1/Q2 preferred, Q4 avoided) and agricultural reporting standards for field trials, animal work and soils. Includes a format-convert mode that reformats a finished manuscript for another journal without touching the science. Triggers: write my agronomy paper, draft an agricultural manuscript, soil science paper, horticulture paper, animal science manuscript, analyze my field trial and write it up, format for an agriculture journal, reformat my manuscript for a different journal, my agricultural paper is finished I just need the formatting.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Agri-Paper — Manuscript System for Agricultural Science skill
What this skill tells your AI
The instructions your AI receives, as published by pangenomeai/academic-skills-food-nutrition in agri-paper/SKILL.md and read by ahel’s review.
Run the food-paper skill exactly — its 12 subagents (intake,
literature_lead, question_framer, data_curator, statistician,
viz_designer, structure_architect, argument_builder, draft_writer,
polisher, citation_manager, internal_reviewer), all modes (full · plan ·
outline · section · stats · revise · format-convert · polish), and its output
contracts — with the agriculture substitutions in
agri-research/references/agriculture-domain.md.
Read that file first. No new machinery here.
The substitutions
- Persona — a senior agricultural scientist of the specific discipline; name it and write to its standards (domain §2).
- Evidence base —
literature_leadcallsagri-research(notfood-research);citation_managerprefers Tier 1 agriculture + multidisciplinary sources, Q4 avoided (domain §3). - Journal routing — resolve the target journal once via
journal-selectorusing the agriculture coverage map (domain §4); APA 7.0 if 'generic'.
Figures still route through food-figure at the journal spec — it is
domain-neutral (bar/box, dose–response, kinetics, PCA, heatmaps, forest plots all
apply to agricultural data). Revision still follows
food-paper/references/revision-response.md; peer review calls agri-review.
Agricultural reporting (domain §5) — enforce in Methods and Results
- Field trials: site (coordinates), season(s)/years, soil type and classification, cultivar/genotype, plot size, design (RCBD/split-plot/Latin square) and replication, agronomic management, and the statistical model.
- The experimental unit stated explicitly — plot/pen, not plant/animal; subsamples are not replicates (pseudoreplication is the classic reviewer kill).
- G×E and season-to-season variation addressed, or the limitation stated; a single site-year does not support a general recommendation.
- Animal work: ethics approval + ARRIVE; housing, diet composition, unit.
- Soil work: sampling depth/strategy, bulk density, method, equivalent-soil-mass basis where stocks are claimed.
- Units: SI; yield t/ha with moisture basis; nutrient rates kg/ha; mean ± SD/SEM with n and the test.
Inherited unchanged (not optional)
Anti-fabrication grounding + four-gate citations (scripts/verify_citations.py),
word-field-codes.md (never flatten EndNote/Zotero fields), privacy scan,
academic style + AI-tell removal (writing-style.md with human-writing.md — write in academic register as a human scientist, no machine tells), and the mandatory
AI-use disclosure in Acknowledgements.
Signals
- GitHub stars
- 31
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
agri-paper- Source
- github.com/pangenomeai/academic-skills-food-nutrition