Install
$ agentstack add skill-pangenomeai-academic-skills-food-nutrition-food-paper ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
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.md—structure_architect: IMRaD/review patterns + abstract types.references/writing-style.md—draft_writer/polisher: scientific style, title/intro rhetoric.references/writing-quality-check.md— self-check beforeinternal_reviewer.references/statistics-reporting.md—statistician: what to report and which test.references/declarations-guide.md— CRediT, funding, COI, data availability, ethics.references/apa7-quickref.md— default citation style forcitation_manager(canonical APA 7.0 for the suite).
Handoffs
food-research (evidence in) → food-paper → food-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.
- Author: PangenomeAI
- Source: PangenomeAI/academic-skills-food-nutrition
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.