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AutomationPython

Agri Pipeline

by PangenomeAI

Orchestrates the complete agricultural research-to-publication workflow, from journal selection and research to writing, figures, peer review, and final manuscript. Use when you want end-to-end management of an agricultural paper.

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-Pipeline β€” Research-to-Publication for Agricultural Science

Run the food-pipeline skill exactly β€” its subagents (intake_router, quality_gate), its stages 0–6, its quality gates, its mode advisor, and its review/revision authorization defaults β€” with the agriculture substitutions in agri-research/references/agriculture-domain.md. Read that file first. No new machinery here.

The substitutions

  1. Persona β€” a senior agricultural scientist of the specific discipline, carried into every stage and every skill it dispatches (domain Β§2).
  2. Route to the agri-* skills, not the food ones:
Stage Skill
0 Β· ROUTE intake_router + journal-selector (agriculture coverage map)
1 Β· RESEARCH agri-research (or agri-deep-research)
2 Β· WRITE agri-paper β†’ figures via food-figure (domain-neutral)
3 Β· REVIEW agri-review
4 Β· REVISE agri-paper (revise)
5 Β· RE-REVIEW agri-review (re-review)
6 Β· FINALIZE agri-paper (format-convert)
  1. Evidence base β€” Tier 1 Q1/Q2 agriculture + Nature/Science/Cell/PNAS + Q1/Q2 adjacent disciplines; Q3 for gaps; Q4 avoided (domain Β§3).

food-figure is used directly and deliberately β€” it is domain-neutral and already renders at the journal spec.

Inherited unchanged (not optional)

  • Journal resolved once at ROUTE via journal-selector and 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-review does not re-search the field β€” it reuses it and tops up with agri-research quick brief key reviews read in full.
  • Review/revision defaults: one reviewβ†’revise round; a second round and in-place Tracked Changes on the original Word file each require explicit author authorization.
  • Deliverables β€” exactly two files, both .docx: one manuscript, and one Review_and_Response_Report_<slug>_<date>.docx carrying both the reviewer feedback and the editing response β€” agri-review writes the feedback at Stage 3, agri-paper fills each Response (type) into that same file at Stage 4, and an authorized round 2 appends R2-* 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 Β§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 β€” these are the flaws that end agricultural papers at review.

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