Food-Proposal — Research & Funding Proposal Orchestrator
SkillDev toolsMaster 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.
No other account needed.
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. Mirrorsfood-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
| Stage | Skill / agent | Deliverable | Gate |
|---|---|---|---|
| 0 · SCHEME | proposal_router + scheme resolution | Target scheme spec (headings, limit, criteria) | — |
| 1 · RESEARCH | food-deep-research (or agri-deep-research; food-research) | Knowledge base / evidence for the case | evidence sufficiency |
| 2 · DRAFT | food-paper (or agri-paper) writing to the scheme's headings | Proposal draft in the scheme format | compliance_gate: headings + length + criteria |
| 3 · REVIEW | food-review (or agri-review) as a mock funding panel vs the criteria | Review report + editorial decision | mandatory author decision |
| 4 · REVISE | food-paper (revise) | Revised proposal (tracked changes; original Word opt-in) | issues resolved + still within limit |
| 5 · FINALIZE | food-paper (format-convert) | Submission-ready proposal (.docx/PDF) to scheme format | final 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-pipelinebuilds a paper, but to the scheme's headings and limit. - Revising a draft (has one already): understand the field first (a
food-researchquick brief / reuse of any provided library, asfood-pipelinedoes 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