Food-Pipeline — Master Research-to-Publication Orchestrator

SkillAI & models

Master orchestrator for the whole food & nutrition research-to-publication workflow. Coordinates the specialist skills — each with its own subagent set — into one governed path: journal selection, research (food-research / food-deep-research), writing & analysis (food-paper), figures (food-figure), peer review (food-review), revision, and finalization. Use when the user wants the entire process managed end to end, or a project routed to the right skills with quality gates. Triggers: run the full paper workflow, take this from research to submission, manage the whole project, research to publication, end-to-end paper, orchestrate my paper.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Food-Pipeline — Master Research-to-Publication Orchestrator skill

What this skill tells your AI

The instructions your AI receives, as published by pangenomeai/academic-skills-food-nutrition in food-pipeline/SKILL.md and read by ahel’s review.

The top-level conductor. It does not do research, writing, or review itself — it routes the project to the specialist skills (each a multi-subagent system), enforces quality gates between stages, and manages the review→revise loop. Original work.

Skills it orchestrates (each brings its own subagent team)

  • journal-selector — target-journal constraints (structure, limits, reference style, figure spec). A shared procedure, not an installed skill: load journal-selector/SKILL.md and follow it.
  • food-research — literature/evidence synthesis (quick brief / full review / systematic PRISMA + OHAT). Use food-deep-research instead for an open-ended, source-validated deep dive or a standalone literature review.
  • food-paper — whole-process manuscript system (field → questions → data/stats → figures → argument → draft → polish → self-review).
  • food-figure — submission-grade figures at the journal spec (invoked within food-paper).
  • food-review — multi-reviewer peer-review panel + formatting compliance.

Own subagents

  • intake_router — reads the project's current state and materials, resolves the target journal, picks the entry stage, and assembles the context each downstream skill needs.
  • quality_gate — the checkpoint between stages: verifies the stage's deliverable meets the gate criteria (integrity, journal compliance, evidence sufficiency) and decides proceed / revise / stop, with the author at mandatory gates.

Stages

StageSkill / agentDeliverableGate
0 · ROUTEintake_router + journal-selectorEntry point + journal constraints
1 · RESEARCHfood-research (or food-deep-research)Evidence brief / gap list / (systematic report)evidence sufficiency
2 · WRITEfood-paperDraft: analysis, figures (food-figure), argument, referencesintegrity + journal compliance
3 · REVIEWfood-reviewReview & Response Report (.docx) — feedback + editorial decision — plus margin comments on the manuscript (when Word tooling available)mandatory author decision
4 · REVISEfood-paper (revise)Revision + response entries — tracked changes on the original Word only if the author authorizesissues resolved
5 · RE-REVIEWfood-review (re-review)Only if the author authorizes a second round — verifies the revision; may add new commentsaccept / stop (no auto third round)
6 · FINALIZEfood-paper (format-convert) + writerSubmission-ready manuscript (.docx) + the one Review & Response Report (.docx); optionally an editable .pptx deck via food-ppt if the author wants slidesfinal compliance

Knowledge reuse — don't research the same field twice

When the pipeline ran Stage 1 (it entered at Stage 0 or 1), the field has already been searched and synthesized. Stages 3 · REVIEW and 5 · RE-REVIEW must therefore carry the Stage-1 evidence base into food-review rather than let its knowledge_builder repeat a full literature search:

  • Pass forward the Stage-1 output (food-research / food-deep-research: validated sources, evidence matrix / synthesis, grading, gap list) as the review's field-knowledge foundation; don't re-fetch what Stage 1 already validated.
  • Top it up with the food-research quick brief stream to find the field's key review publications and read those reviews in full (state of the art, consensus vs contested, standard methods, benchmark ranges).
  • Knowledge base = Stage-1 knowledge + key-review knowledge. The manuscript's own cited sources are still read and audited (Pathway A), reusing Stage-1 records where the source was already retrieved.

If Stage 1 did not run (entry at Stage 2/3 with a finished draft), there is nothing to inherit — food-review builds its knowledge base the full way (Pathway A + B). Using food-review standalone is unaffected by this rule. See food-review/agents/knowledge_builder.md.

Review & revision defaults (Stage 3 onward) — explicit authorization

Default: one review→revise round, then FINALIZE. Do not auto-run a second round or silently rewrite the author's original Word file.

Ask once (consolidate) before Stage 4 when a .docx (or equivalent) is in play:

  1. Second review round? Default no. Run Stage 5 (RE-REVIEW) only if the author explicitly authorizes it. Hard cap remains 2 rounds total.
  2. Edit the original Word with Tracked Changes? Default no. Only modify the original manuscript in place when the author explicitly authorizes it. Without that authorization: deliver a revised copy (or a change log / marked draft) plus the Review & Response Report — leave the original file untouched.

Deliverables — exactly two files, both Word (.docx)

The pipeline produces one manuscript and one report. Never a separate review report and a response letter; never Markdown.

  1. One manuscript file (.docx). Revisions are Tracked Changes on that single original Word file when authorized (otherwise a revised copy); food-review adds margin comments to that same file each round, and every Editor query item gets a comment/note at its location.

  2. One Review_and_Response_Report_<slug>_<date>.docx — the same document evolving through the stages, in the canonical food-review/references/report-format.md structure (Parts A/B/C; stable issue IDs; precise locations; colour legend):

    • Stage 3 (REVIEW)food-review writes the reviewer feedback (black): every concern with its ID and location, plus the editorial decision.
    • Stage 4 (REVISE)food-paper updates that same file in place, filling each item's Response (<type>) (blue) = Tracked edit · Editor query · Recommendation · Residual, with what was actually done and where.
    • Stage 5 (RE-REVIEW), if authorized — append R2-* items to the same file.

    The result carries both the reviewer feedback and the editing response in one document, labelled by round. Do not create a separate reviewer report, and do not create a standalone response letter — this report is the response. (A point-by-point letter to a journal's editor is only produced by food-paper revise standalone, responding to real reviewers.)

Markdown is a working format only: convert with Pandoc (pandoc report.md -o report.docx) or the docx skill, and never claim a .docx you did not produce. Run scripts/privacy_scan.py on every file before delivery.

See food-review/references/report-format.md, food-review/references/word-review-comments.md, and food-paper/references/revision-response.md.

Workflow

flowchart TD
    A[Project in] --> R[intake_router<br/>state + materials + journal + entry stage]
    R --> J[journal-selector]
    R --> S1[Stage 1 RESEARCH<br/>food-research / food-deep-research]
    S1 --> G1{quality_gate<br/>evidence sufficient?}
    G1 -- yes --> S2[Stage 2 WRITE<br/>food-paper -> food-figure]
    G1 -- no --> S1
    S2 --> G2{quality_gate<br/>integrity + journal compliance}
    G2 -- pass --> S3[Stage 3 REVIEW<br/>food-review panel]
    G2 -- fail --> S2
    S3 --> G3{{author decision<br/>mandatory gate}}
    G3 -- revise --> S4[Stage 4 REVISE<br/>food-paper revise]
    S4 --> G4{{author: second round?}}
    G4 -- no / default --> S6[Stage 6 FINALIZE<br/>format + Word export]
    G4 -- yes authorized --> S5[Stage 5 RE-REVIEW<br/>food-review re-review]
    S5 -- issues + author continues --> S4
    S5 -- accept --> S6
    G3 -- accept --> S6
    S6 --> OUT[Submission-ready manuscript]

Entry points (mid-pipeline)

intake_router detects where to start: a topic/dataset → Stage 1; a full draft → Stage 2 or 3; reviewer comments in hand → Stage 4. It never restarts completed stages unnecessarily. At Stage 3/4 it records whether the author has authorized a second round and/or in-place tracked changes on the original Word file.

References (load as needed)

  • references/mode-advisor.mdintake_router uses it to pick entry stage, research flavor, and skills.
  • references/pipeline-state-machine.md — states, transitions, entry points, loop caps.
  • references/quality-gates.md — the per-stage gate criteria quality_gate applies.

Rules

  • Journal first, journal throughout: re-flow references and re-check limits whenever the target journal changes.
  • Gates are real: quality_gate can send a stage back; integrity and review gates cannot be skipped, and the review decision is always the author's.
  • One round by default: do not auto-run RE-REVIEW; a second round needs explicit author authorization (hard cap 2).
  • Original Word is opt-in: do not apply tracked changes to the author's original file unless they authorize it; otherwise leave the original untouched and deliver a revised copy / change log + the Review & Response Report.
  • Food-science standards everywhere: n and error type, validated methods, panel details, ethics/food-safety — enforced at every write/review gate.
  • Don't duplicate work: the specialist skills own their subagents; the pipeline sequences and gates them, it does not re-implement them.
  • Two deliverables, both .docx, always: one manuscript and one Review & Response Report carrying reviewer feedback and the editing response. Never a separate reviewer report or a standalone response letter; never Markdown (see "Deliverables").

Signals

GitHub stars
31
Forks
3
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
food-pipeline
Source
github.com/pangenomeai/academic-skills-food-nutrition