Food-Proposal — Research & Funding Proposal Orchestrator

SkillDev tools

Master orchestrator for preparing research proposals and funding-application proposals in food, nutrition & agricultural science. Like food-pipeline, but for proposals: it resolves the target funding scheme's format first (headings, order, page/word limit, font, assessment criteria), then drafts from scratch (food-deep-research for the knowledge base, food-paper to write, food-review to review) or revises an existing draft after first understanding the field. Enforces the scheme's length limit and required headings and aligns content to the assessment criteria. Built-in schemes: ARC Discovery EOI, ARC Discovery Full Application, and the UoM Ag & Food project proposal; if a scheme isn't included it asks the user to upload the guideline and extracts the format. Triggers: write a grant proposal, ARC Discovery application, funding application, research proposal, project proposal, revise my grant, prepare an EOI.

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-Proposal — Research & Funding Proposal Orchestrator skill

What this skill tells your AI

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

The proposal counterpart of food-pipeline. It does not research, write, or review itself — it routes the proposal to the specialist skills and enforces the target funding scheme's format, length limit, and assessment criteria at every gate. Original work; the orchestration mirrors food-pipeline.

Scheme first — the key difference from a paper

A proposal is written to a funding scheme's format, the way a manuscript is written to a journal's. Before anything else, resolve the target scheme (references/scheme-selection.md): ask the user which scheme, then load its spec from schemes/<id>.md + schemes/schemes.json (required headings in order, page/word limit, font, assessment criteria). Built-in: arc-discovery-eoi, arc-discovery-full, uom-major-minor-project (see schemes/INDEX.md). If the scheme isn't built in, don't guess — ask the user to upload the scheme's guideline / sample form and run scheme_extractor to capture its format into a new schemes/<id>.md + schemes.json entry. Every scheme carries a length limit — enforce it with scripts/proposal_wordcount.py.

Own subagents

  • proposal_router — reads what the user has (topic only, or an existing draft), resolves the scheme, picks the entry stage, and assembles each downstream skill's input. Mirrors food-pipeline's intake router.
  • scheme_extractor — when the scheme isn't built in, extracts its format (headings, order, limits, font, criteria) from the user's uploaded guideline/sample into a new scheme spec.
  • compliance_gate — the checkpoint between stages: verifies required headings are present and in order, the length limit is met (proposal_wordcount.py), the font/ format matches, and the content addresses every assessment criterion.

Stages

StageSkill / agentDeliverableGate
0 · SCHEMEproposal_router + scheme resolutionTarget scheme spec (headings, limit, criteria)
1 · RESEARCHfood-deep-research (or agri-deep-research; food-research)Knowledge base / evidence for the caseevidence sufficiency
2 · DRAFTfood-paper (or agri-paper) writing to the scheme's headingsProposal draft in the scheme formatcompliance_gate: headings + length + criteria
3 · REVIEWfood-review (or agri-review) as a mock funding panel vs the criteriaReview report + editorial decisionmandatory author decision
4 · REVISEfood-paper (revise)Revised proposal (tracked changes; original Word opt-in)issues resolved + still within limit
5 · FINALIZEfood-paper (format-convert)Submission-ready proposal (.docx/PDF) to scheme formatfinal compliance

Slides? For a proposal pitch, food-ppt can turn the finished proposal into a deck.

From scratch vs revising an existing draft

  • From scratch: run Stage 1 → 2 → 3, exactly as food-pipeline builds a paper, but to the scheme's headings and limit.
  • Revising a draft (has one already): understand the field first (a food-research quick brief / reuse of any provided library, as food-pipeline does before editing), then edit to fix gaps and fit the scheme — never rewrite blindly.

Inherited (not optional)

Anti-fabrication grounding + four-gate citations, privacy scan, academic style + human-writing.md, the mandatory AI-use disclosure (some schemes, e.g. the UoM project, require stating the AI model and prompts used — put it in Acknowledgements), and the full-text-access first move for the research stage. Figures via food-figure.

Signals

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