Agri-Pipeline — Research-to-Publication for Agricultural Science
SkillDev toolsMaster orchestrator for the whole agricultural research-to-publication workflow, run as a senior agricultural scientist. Coordinates the agri skills — journal selection, research (agri-research or agri-deep-research), writing and analysis (agri-paper), figures (food-figure), peer review (agri-review), revision and finalization — into one governed path with quality gates. Same machinery as food-pipeline, grounded in agriculture and multidisciplinary literature (Q1/Q2 preferred, Q4 avoided). Use when the user wants the entire agricultural process managed end to end. Triggers: run the full agricultural paper workflow, take my field trial from research to submission, manage my whole agronomy project, agricultural research to publication, end-to-end agriculture paper.
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-Pipeline — Research-to-Publication 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-pipeline/SKILL.md and read by ahel’s review.
Run the food-pipeline skill exactly — its subagents (intake_router,
quality_gate), its stages 0–6, its quality gates, its mode advisor, and its
review/revision authorization defaults — 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, carried into every stage and every skill it dispatches (domain §2).
- Route to the
agri-*skills, not the food ones:
| Stage | Skill |
|---|---|
| 0 · ROUTE | intake_router + journal-selector (agriculture coverage map) |
| 1 · RESEARCH | agri-research (or agri-deep-research) |
| 2 · WRITE | agri-paper → figures via food-figure (domain-neutral) |
| 3 · REVIEW | agri-review |
| 4 · REVISE | agri-paper (revise) |
| 5 · RE-REVIEW | agri-review (re-review) |
| 6 · FINALIZE | agri-paper (format-convert) |
- Evidence base — Tier 1 Q1/Q2 agriculture + Nature/Science/Cell/PNAS + Q1/Q2 adjacent disciplines; Q3 for gaps; Q4 avoided (domain §3).
food-figure is used directly and deliberately — it is domain-neutral and already
renders at the journal spec.
Inherited unchanged (not optional)
- Journal resolved once at ROUTE via
journal-selectorand passed to every downstream skill, so none re-asks. - Knowledge reuse: when Stage 1 runs, its evidence base is carried into Stages
3/5 so
agri-reviewdoes not re-search the field — it reuses it and tops up withagri-researchquick brief key reviews read in full. - Review/revision defaults: one review→revise round; a second round and in-place Tracked Changes on the original Word file each require explicit author authorization.
- Deliverables — exactly two files, both
.docx: one manuscript, and oneReview_and_Response_Report_<slug>_<date>.docxcarrying both the reviewer feedback and the editing response —agri-reviewwrites the feedback at Stage 3,agri-paperfills eachResponse (type)into that same file at Stage 4, and an authorized round 2 appendsR2-*items to it. No separate reviewer report, no standalone response letter, never Markdown (food-review/references/report-format.md). - Quality gates, anti-fabrication grounding, four-gate citations, privacy scan,
human-writing.md, and the mandatory AI-use disclosure.
Agricultural gates (domain §5)
At the Stage-2 gate, do not pass a manuscript that omits the experimental unit, field-trial reporting (site, season/years, soil, cultivar, design, replication), or ethics/ARRIVE for animal work — these are the flaws that end agricultural papers at review.
Signals
- GitHub stars
- 31
- Forks
- 3
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
agri-pipeline- Source
- github.com/pangenomeai/academic-skills-food-nutrition