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ImmortalqxImmortalqx/my_codex_skills/grant-proposal/SKILL.md

grant-proposal

Skill54 starsChanged 5 months agoMITView on GitHub

Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says \"write grant\", \"grant proposal\", \"申請書\", \"write KAKENHI\", \"科研費\", \"基金申请\", \"写基金\", \"NSF proposal\", or wants to turn research ideas into a funding application.

9 other projects use a version of this.

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The file

Show its rules and text

We split this skill into the rules it gives an agent

18 rules. 0 are common, 14 are distinctive, and 4 are very specific to this project.

  • 0

    Common

    Most of the 8 edited versions we read keep these.

  • 14

    Distinctive

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No local API key is required by this skill.

    line 14
  2. Very specific:

    AUTO_PROCEED = false: Stop at major planning checkpoints unless the user explicitly asks for a complete one-shot draft.

    line 27
  3. Distinctive:

    Read only what is useful for the requested proposal:

    line 45
  4. Very specific:

    If critical PI-specific or budget information is missing, use explicit placeholders such as [TODO: add PI publications] and [AMOUNT].

    line 60
  5. Distinctive:

    If the request is too vague to draft responsibly, ask concise questions for the missing grant type, project duration, PI background, or …

    line 74
  6. Distinctive:

    Search or inspect supplied literature for close work.

    line 82
  7. Distinctive:

    Search funded-project pages when relevant and available:

    line 83
  8. Distinctive:

    Write a one-sentence gap statement:

    line 88
  9. Distinctive:

    Create an aims matrix:

    line 119
  10. Distinctive:

    Write complete prose in the agency-specific style.

    line 151
  11. Distinctive:

    If the user asks for figures, generate simple local SVG, Mermaid, draw.io, or matplotlib figures directly in the project.

    line 172
  12. Very specific:

    If overwriting an existing final file, preserve the previous version by writing a timestamped copy first, for example …

    line 219
  13. Distinctive:

    Do not fabricate budget amounts.

    line 242
  14. Distinctive:

    Do not fabricate PI information, publications, awards, affiliations, or credentials.

    line 243
  15. Very specific:

    Do not hallucinate citations.

    line 244
  16. Distinctive:

    Do not claim novelty from absence of evidence.

    line 245
  17. Distinctive:

    Keep agency norms visible: KAKENHI expects 社会的意義, NSF expects Broader Impacts, NSFC expects 国际前沿 positioning and 研究基础.

    line 247
  18. Distinctive:

    Stop for user confirmation at major checkpoints unless the user explicitly requested a one-shot full draft.

    line 248

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Grant Proposal

Draft a grant proposal based on: $ARGUMENTS

Standalone Scope

This skill works from the user's request, local project files, and any publicly accessible literature or funder pages that can be reached in the current environment.

No local API key is required by this skill. If network access is unavailable, continue from user-provided materials and clearly mark literature or funded-project coverage gaps.

Defaults

  • GRANT_TYPE = KAKENHI unless the request names another agency.
  • GRANT_SUBTYPE = auto from the request or the most common subtype.
  • OUTPUT_FORMAT = markdown unless latex is requested.
  • OUTPUT_DIR = grant-proposal/ for generated files.
  • LANGUAGE = auto:
    • KAKENHI -> Japanese
    • NSFC -> Chinese
    • NSF/ERC/DFG/SNSF/ARC/NWO -> English unless requested otherwise
    • GENERIC -> match the user's language
  • AUTO_PROCEED = false. Stop at major planning checkpoints unless the user explicitly asks for a complete one-shot draft.

Supported grant types:

TypeCommon SectionsNotes
KAKENHI研究目的, 研究計画・方法, 準備状況, 人権の保護 if applicableFormal Japanese academic style; emphasize academic significance, originality, feasibility, and societal value.
NSFProject Summary, Project Description, References, Biosketch, Budget Justification, Data Management PlanExplicit Intellectual Merit and Broader Impacts.
NSFC立项依据, 研究内容, 研究目标, 研究方案, 可行性分析, 创新点, 预期成果, 研究基础Formal Chinese; position against the international frontier and applicant foundation.
ERCExtended Synopsis, Scientific Proposal Part B2High-risk/high-gain framing, work packages, deliverables, milestones.
DFGState of the Art, Objectives, Work Programme, Bibliography, CVEnglish or German depending on request.
SNSFSummary, Research Plan, Timetable, BudgetScientific relevance, originality, feasibility, track record.
ARCProject Description, Feasibility, Benefit, BudgetResearch quality, feasibility, and benefit.
NWOSummary, Proposed Research, Knowledge UtilisationScientific quality, innovation, knowledge utilisation.
GENERICUser-provided or inferred sectionsAsk for page limits and required sections if unknown.

Inputs to Gather

Read only what is useful for the requested proposal:

  1. The research idea, draft, or direction from $ARGUMENTS.
  2. Local files that look relevant, for example:
    • IDEA_REPORT.md, FINAL_PROPOSAL.md, EXPERIMENT_PLAN.md
    • NARRATIVE_REPORT.md, STORY.md, literature.md, survey.md
    • publications.md, cv.md, bio.md, CV.pdf
  3. User-provided grant constraints:
    • agency, subtype, page limit, deadline, language, section template
    • PI stage, team, institution, budget range, project duration
  4. Public sources if network access is available:
    • funder instructions and official criteria
    • recent papers and surveys in the area
    • funded-project databases for related awards

If critical PI-specific or budget information is missing, use explicit placeholders such as [TODO: add PI publications] and [AMOUNT]. Never invent these details.

Workflow

Phase 1: Parse and Scope

Extract:

  • grant agency and subtype
  • output language and format
  • project duration
  • topic, method, application area, and expected contribution
  • any hard requirements such as page limits or mandatory sections

If the request is too vague to draft responsibly, ask concise questions for the missing grant type, project duration, PI background, or target language.

Phase 2: Landscape and Gap

Build the proposal's positioning directly:

  1. Summarize the research area in 5-8 bullets.
  2. Identify the scientific or technical gap.
  3. Search or inspect supplied literature for close work.
  4. Search funded-project pages when relevant and available:
    • KAKENHI: KAKEN database
    • NSF: NSF Award Search
    • NSFC: public NSFC project information where accessible
    • other agencies: official award/project search or public web pages
  5. Write a one-sentence gap statement:
Despite progress in [X], [specific gap] remains unresolved because [reason].
This project addresses the gap by [approach], enabling [expected scientific or societal impact].

Checkpoint unless one-shot drafting was requested:

## Positioning Checkpoint

- Grant type: [type/subtype]
- Proposed title: [working title]
- Gap statement: [gap]
- Closest related work/projects: [3-5 bullets]
- Proposed angle: [1-2 bullets]

Please confirm or adjust before I draft the proposal structure.

Phase 3: Aims and Project Architecture

Design 2-4 aims. Each aim should be:

  • independently valuable
  • technically concrete
  • feasible within the project duration
  • linked to a deliverable
  • paired with a risk and mitigation

Create an aims matrix:

| Aim | Key Question | Approach | Evidence/Preparation | Risk | Mitigation | Deliverable |
|---|---|---|---|---|---|---|
| Aim 1 | ... | ... | ... | Low/Med/High | ... | ... |

Then create a timeline:

| Period | Aim/Task | Milestone | Deliverable |
|---|---|---|---|
| Year 1 Q1-Q2 | ... | ... | ... |

Checkpoint unless one-shot drafting was requested:

## Structure Checkpoint

- Aim 1: [title]
- Aim 2: [title]
- Aim 3: [title if any]
- Main risk: [risk]
- Timeline: [summary]

Proceed to full drafting, or revise the aims first?

Phase 4: Draft the Proposal

Write complete prose in the agency-specific style. Do not leave outline-only sections unless the user explicitly requested an outline.

Recommended drafting order:

  1. Specific Aims / Research Objective
  2. Background / Significance / State of the Art
  3. Research Plan / Methods
  4. Expected Outcomes and Deliverables
  5. Timeline and Milestones
  6. Risk Management and Alternative Plans
  7. PI Qualification / Preparation Status
  8. Budget Justification
  9. Broader Impacts / Societal Significance / Knowledge Utilisation when required

For figures, create text placeholders unless the user asks you to generate them:

[Figure 1: Overall project architecture showing Aim 1 -> Aim 2 -> Aim 3 and deliverables.]
[Figure 2: Timeline and milestones.]

If the user asks for figures, generate simple local SVG, Mermaid, draw.io, or matplotlib figures directly in the project. Do not call another skill.

Phase 5: Self-Check and Revise

Review the draft directly against the grant type's criteria:

  • Does the opening state the gap early and clearly?
  • Are aims concrete, feasible, and not mutually dependent in a fragile way?
  • Are novelty and significance supported by cited literature or supplied evidence?
  • Are risks and mitigation plans specific?
  • Are deliverables measurable?
  • Does the language match the agency style?
  • Are budget amounts and PI credentials left as placeholders when unknown?
  • Are all citations real or marked [VERIFY]?
  • Are page-limit or required-section constraints respected?

Apply obvious fixes before presenting the final output. If a weakness cannot be fixed without user information, mark it as a clear TODO.

Output Files

Default Markdown output:

grant-proposal/
├── GRANT_PROPOSAL.md
├── GRANT_NOTES.md
├── GRANT_STATE.json
├── references.bib
└── figures/

LaTeX output, if requested:

grant-proposal/
├── main.tex
├── sections/
│   ├── aims.tex
│   ├── background.tex
│   ├── research_plan.tex
│   ├── timeline.tex
│   ├── pi_qualification.tex
│   └── budget.tex
├── references.bib
└── figures/

If overwriting an existing final file, preserve the previous version by writing a timestamped copy first, for example GRANT_PROPOSAL_YYYYMMDD_HHmmss.md.

GRANT_NOTES.md should contain:

  • assumptions
  • missing user information
  • literature/funded-project coverage limitations
  • TODO placeholders to fill before submission

GRANT_STATE.json should contain only simple recovery metadata:

{
  "grant_type": "NSFC",
  "grant_subtype": "Youth",
  "language": "Chinese",
  "status": "drafted",
  "last_updated": "YYYY-MM-DDTHH:MM:SS"
}

Key Rules

  • Do not fabricate budget amounts.
  • Do not fabricate PI information, publications, awards, affiliations, or credentials.
  • Do not hallucinate citations. Use supplied sources or publicly verified sources; otherwise mark [VERIFY].
  • Do not claim novelty from absence of evidence. If search coverage is weak, say so.
  • Grant proposals argue for future work. Emphasize what will be done, why it matters, and why the team can execute it.
  • Keep agency norms visible: KAKENHI expects 社会的意義, NSF expects Broader Impacts, NSFC expects 国际前沿 positioning and 研究基础.
  • Stop for user confirmation at major checkpoints unless the user explicitly requested a one-shot full draft.

Parameter Examples

/grant-proposal "robotics foundation model safety — NSF CAREER, English, 5 years"
/grant-proposal "低空通信感知一体化 — NSFC 青年, 中文, 3 years"
/grant-proposal "multimodal robot planning — KAKENHI Start-up, Japanese"
ParameterDefaultDescription
grant typeKAKENHIAgency: KAKENHI, NSF, NSFC, ERC, DFG, SNSF, ARC, NWO, GENERIC
grant subtypeautoSubtype such as Start-up, Wakate, CAREER, Youth
output formatmarkdownmarkdown or latex
languageautoOutput language override
durationinferredProject length and timeline granularity
auto proceedfalseSkip checkpoints only when explicitly requested

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