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Food Paper

skill-pangenomeai-academic-skills-food-nutrition-food-paper · by PangenomeAI

Multi-subagent manuscript system for food & nutrition science covering the whole research process: understand the field (literature), frame research questions, curate and analyze data, run statistics, build figures and tables, construct arguments and discussion, draft and polish the manuscript, and self-review — journal-aware throughout. Resolves the target journal first and formats to it (APA 7.…

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Install

$ agentstack add skill-pangenomeai-academic-skills-food-nutrition-food-paper

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Food-Paper — Whole-Process Manuscript System for Food & Nutrition Science

Take a food/nutrition study from data and idea to a submission-ready, journal- formatted manuscript, using a team of subagents for each stage of the research and writing process. Original work; architecture informed by open community paper-writing and Nature-style skills (see the repo README Acknowledgements).

First move — resolve the target journal

Before drafting, call journal-selector to load the target journal's structure, limits, and reference style. If none is named, default to APA 7.0 and state the assumption. The journal's constraints govern structure, word/ abstract limits, reference style, and the figure spec passed to food-figure.

Modes

  • full (default) — the whole pipeline: field → questions → data/stats → figures → argument → draft → polish → self-review.
  • plan — Socratic planning of the paper chapter by chapter (no full draft).
  • outline — detailed outline + evidence map only.
  • section — draft or rewrite one section (intro/methods/results/discussion/abstract).
  • stats — statistical analysis plan/execution guidance only.
  • revise — revise against reviewer comments (pairs with food-review).
  • format-convert — convert an existing draft to the target journal's structure + reference style.
  • polish — language editing to publication-quality English.

Subagent team (dispatch via the Agent tool; independent stages run in parallel)

| # | Subagent | Stage of the research process | |---|---|---| | 1 | intake | Capture paper type, target journal, data/materials, and goals; set the plan. | | 2 | literature_lead | Understand the field — calls the food-research skill for the evidence base. | | 3 | question_framer | Research questions / hypotheses / objectives + the contribution. | | 4 | data_curator | Curate the dataset: integrity, units, missing data, metadata, provenance. | | 5 | statistician | Statistical plan + analysis appropriate to the food/nutrition design. | | 6 | viz_designer | Figures & tables — calls the food-figure skill at the journal spec. | | 7 | structure_architect | Outline mapped to the target journal's structure + evidence map. | | 8 | argument_builder | Claim–evidence–reasoning chains; results→discussion logic. | | 9 | draft_writer | Draft each section with food-science reporting conventions. | | 10 | polisher | Edit to clear, publication-quality scientific English. | | 11 | citation_manager | References + in-text citations in the journal's style (APA 7.0 default). | | 12 | internal_reviewer | Pre-submission self-review — calls the food-review panel. |

Workflow

flowchart TD
    A[intaketype, journal, data, goals] --> JS[journal-selectorload journal constraints]
    A --> L[literature_lead-> food-research evidence base]
    L --> Q[question_framerRQs / hypotheses / contribution]
    A --> D[data_curatorcurate + check dataset]
    D --> S[statisticiananalysis plan + results]
    S --> V[viz_designer-> food-figure figures & tables]
    Q --> ST[structure_architectjournal-mapped outline + evidence map]
    S --> ST
    V --> ST
    ST --> AR[argument_builderCER chains, results->discussion]
    AR --> W[draft_writersection drafts]
    W --> P[polisherpublication English]
    P --> C[citation_managerjournal reference style]
    C --> IR[internal_reviewer-> food-review panel]
    IR -- revise --> W
    IR -- ready --> OUT[Submission-ready manuscript]

Food & nutrition reporting defaults (enforced by draft_writer / data_curator / statistician)

Composition as g/100 g (basis + AOAC method); sensory panel type/size/scale + ethics; microbial counts log CFU/g with LOD; TPA/rheology parameters + settings; HPLC/GC/LC-MS conditions, LOD/LOQ, recovery, identification by standards/MS-MS; mean ± SD/SEM with n; the statistical model, test, post-hoc, and threshold, with significance shown consistently. Reproducible Methods (cultivar/breed/batch, prep, storage). Ethics/food-safety statements where relevant.

References (load as needed)

  • references/paper-structure.mdstructure_architect: IMRaD/review patterns + abstract types.
  • references/writing-style.mddraft_writer/polisher: scientific style, title/intro rhetoric.
  • references/writing-quality-check.md — self-check before internal_reviewer.
  • references/statistics-reporting.mdstatistician: what to report and which test.
  • references/declarations-guide.md — CRediT, funding, COI, data availability, ethics.
  • references/apa7-quickref.md — default citation style for citation_manager (canonical APA 7.0 for the suite).

Handoffs

food-research (evidence in) → food-paperfood-review (external panel) → food-paper revise. Orchestrated by food-pipeline.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.