research-grants
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
By k-dense-ai · 1,519 installs
npx skills add k-dense-ai/scientific-agent-skills --skill research-grants
Source repository · Upstream listing
Research Grant Writing
Overview
Research grant writing is the process of developing competitive funding proposals for federal agencies and foundations. Master agency specific requirements, review criteria, narrative structure, budget preparation, and compliance for NSF (National Science Foundation), NIH (National Institutes of Health), DOE (Department of Energy), DARPA (Defense Advanced Research Projects Agency), and Taiwan's NSTC (National Science and Technology Council) submissions.
Critical Principle: Grants are persuasive documents that must simultaneously demonstrate scientific rigor, innovation, feasibility, and broader impact. Each agency has distinct priorities, review criteria, formatting requirements, and strategic goals that must be addressed.
When to Use This Skill
This skill should be used when:
Writing research proposals for NSF, NIH, DOE, DARPA, or NSTC programs
Preparing project descriptions, specific aims, or technical narratives
Developing broader impacts or significance statements
Creating research timelines and milestone plans
Preparing budget justifications and personnel allocation plans
Responding to program solicitations or funding announcements
Addressing reviewer comments in resubmissions
Planning multi institutional collaborative proposals
Writing preliminary data or feasibility sections
Preparing biosketches, CVs, or facilities descriptions
Visual Enhancement (Optional)
Strong proposals often include 1–3 figures (timelines, workflow diagrams, preliminary data). Figures support review but are not a substitute for clear aims and methods.
When figures help:
Research methodology and workflow diagrams
Project timeline or Gantt charts
Conceptual framework or system architecture (technical proposals)
Experimental design flowcharts
Broader impacts activity diagrams
NSTC CM03 research architecture diagrams (often expected)
How to create figures:
Preferred: Use the scientific schematics skill ( doc type grant ) for AI generated diagrams from a natural language description
Alternative: Build figures in your usual tools (matplotlib, Illustrator, PowerPoint, etc.)
Run from the repository root, with OPENROUTER API KEY set:
Disclosure: AI schematic generation sends your prompt to [OpenRouter](https://openrouter.ai/) (a third party API). Do not include unpublished sensitive details unless that transmission is appropriate for your project.
Agency Specific Overview
NSF (National Science Foundation)
Mission : Promote the progress of science and advance national health, prosperity, and welfare
Key Features :
Follow [PAPPG 24 1](https://www.nsf.gov/policies/pappg) (effective May 20, 2024) unless a solicitation overrides it
Intellectual Merit + Broader Impacts (equally weighted)
15 page project description limit (most programs; includes Results from Prior NSF Support, max 5 pages)
Emphasis on education, diversity, and societal benefit
Collaborative research encouraged
Open data and open science emphasis
Merit review process with panel + ad hoc reviewers
NIH (National Institutes of Health)
Mission : Enhance health, lengthen life, and reduce illness and disability
Key Features :
Specific Aims (1 page) + Research Strategy (12 pages for R01)
Significance, Innovation, Approach as core review criteria
Preliminary data typically required for R01s
Emphasis on rigor, reproducibility, and clinical relevance
Modular budgets ($250K increments) for most R01s
Multiple resubmission opportunities
DOE (Department of Energy)
Mission : Ensure America's security and prosperity through energy, environmental, and nuclear challenges
Key Features :
Focus on energy, climate, computational science, basic energy sciences
Often requires cost sharing or industry partnerships
Emphasis on national laboratory collaboration
Strong computational and experimental integration
Energy innovation and commercialization pathways
Varies by office (ARPA E, Office of Science, EERE, etc.)
DARPA (Defense Advanced Research Projects Agency)
Mission : Make pivotal investments in breakthrough technologies for national security
Key Features :
High risk, high reward transformative research
Focus on "DARPA hard" problems (what if true, who cares)
Emphasis on prototypes, demonstrations, and transition paths
Often requires multiple phases (feasibility, development, demonstration)
Strong project management and milestone tracking
Teaming and collaboration often required
Varies dramatically by program manager and BAA (Broad Agency Announcement)
NSTC (National Science and Technology Council Taiwan)
Mission : Advance scientific breakthrough, industrial application, and societal impact in Taiwan.
Key Features :
CM03 Form : The core technical proposal format.
Bilingual : Abstract required in both Chinese and English.
Innovation & Feasibility : Primary review focus.
Preliminary Data : Highly critical for credibility.
Research Architecture Diagram : A mandatory visual element for clarity.
Core Components of Research Proposals
Section by section guidance for every standard proposal component — specific aims,
significance, innovation, approach, preliminary data, timeline, budget and justification,
biosketch, facilities, data management and sharing, and broader impacts — with structure,
length targets, and worked language, is in
[references/core components.md](references/core components.md).
Review Criteria, Writing Principles, and Proposal Types
[references/review criteria.md](references/review criteria.md): how NIH, NSF, DOE, and
DARPA score proposals, and what each criterion actually rewards.
[references/writing principles.md](references/writing principles.md): what separates
funded proposals from competent ones — framing, specificity, reviewer psychology, and
readability.
[references/proposal types and resubmission.md](references/proposal types and resubmission.md):
the common proposal types and how to handle a resubmission, including responding to
a summary statement.
Common Mistakes to Avoid
Conceptual Mistakes
1. Failing to Address Review Criteria : Not explicitly discussing significance, innovation, approach, etc.
2. Mismatch with Agency Mission : Proposing research that doesn't align with agency goals
3. Unclear Significance : Failing to articulate why the research matters
4. Insufficient Innovation : Incremental work presented as transformative
5. Vague Objectives : Goals that are not specific or measurable
Writing Mistakes
1. Poor Organization : Lack of clear structure and flow
2. Excessive Jargon : Inaccessible to broader review panel
3. Verbosity : Unnecessarily complex or wordy writing
4. Missing Context : Assuming reviewers know your field deeply
5. Inconsistent Terminology : Using different terms for same concept
Technical Mistakes
1. Inadequate Methods : Insufficient detail to judge feasibility
2. Overly Ambitious : Too much proposed for timeline/budget
3. No Preliminary Data : For mechanisms requiring demonstrated feasibility
4. Poor Timeline : Unrealistic or poorly justified schedule
5. Misaligned Budget : Budget doesn't support proposed activities
Formatting Mistakes
1. Exceeding Page Limits : Automatic rejection
2. Wrong Font or Margins : Non compliant formatting
3. Missing Required Sections : Incomplete application
4. Poor Figure Quality : Illegible or unprofessional figures
5. Inconsistent Citations : Formatting errors in references
Strategic Mistakes
1. Wrong Program or Mechanism : Proposing to inappropriate opportunity
2. Weak Team : Insufficient expertise or missing key collaborators
3. No Broader Impacts : For NSF, failing to adequately address
4. Ignoring Program Priorities : Not aligning with current emphasis areas
5. Late Submission : Technical issues or rushed preparation
Workflow for Grant Development
Phase 1: Planning and Preparation (2 6 months before deadline)
Activities :
Identify appropriate funding opportunities
Review program announcements and requirements
Consult with program officers (if appropriate)
Assemble team and confirm collaborations
Develop preliminary data (if needed)
Outline research plan and specific aims
Review successful proposals (if available)
Outputs :
Selected funding opportunity
Assembled team with defined roles
Preliminary outline of specific aims
Gap analysis of needed preliminary data
Phase 2: Drafting (2 3 months before deadline)
Activities :
Write specific aims or objectives (start here!)
Develop project description/research strategy
Create figures and data visualizations
Draft timeline and milestones
Prepare preliminary budget
Write broader impacts or significance sections
Request letters of support/collaboration
Outputs :
Complete first draft of narrative sections
Preliminary budget with justification
Timeline and management plan
Requested letters from collaborators
Phase 3: Internal Review (1 2 months before deadline)
Activities :
Circulate draft to co investigators
Seek feedback from colleagues and mentors
Request institutional review (if required)
Mock review session (if possible)
Revise based on feedback
Refine budget and budget justification
Outputs :
Revised draft incorporating feedback
Refined budget aligned with revised plan
Identified weaknesses and mitigation strategies
Phase 4: Finalization (2 4 weeks before deadline)
Activities :
Final revisions to narrative
Prepare all required forms and documents
Finalize budget and budget justification
Compile biosketches, CVs, and current & pending
Collect letters of support
Prepare data management plan (if required)
Write project summary/abstract
Proofread all materials
Outputs :
Complete, polished proposal
All required supplementary documents
Formatted according to agency requirements
Phase 5: Submission (1 week before deadline)
Activities :
Institutional review and approval
Upload to submission portal
Verify all documents and formatting
Submit 24 48 hours before deadline
Confirm successful submission
Receive confirmation and proposal number
Outputs :
Submitted proposal
Submission confirmation
Archived copy of all materials
Critical Tip : Never wait until the deadline. Portals crash, files corrupt, and emergencies happen. Aim for 48 hours early.
Integration with Other Skills
This skill works effectively with:
Scientific Schematics : Optional AI generated grant figures ( doc type grant )
Scientific Writing : For clear, compelling prose
Literature Review : For comprehensive background sections
Peer Review : For self assessment before submission
Research Lookup : For finding relevant citations and prior work
Data Visualization : For creating effective figures
Resources
This skill includes comprehensive reference files covering specific aspects of grant writing:
references/nsf guidelines.md : NSF specific requirements, formatting, and strategies
references/nih guidelines.md : NIH mechanisms, review criteria, and submission requirements
references/doe guidelines.md : DOE programs, emphasis areas, and application procedures
references/darpa guidelines.md : DARPA BAAs, program offices, and proposal strategies
references/broader impacts.md : Strategies for compelling broader impacts statements
references/specific aims guide.md : Writing effective specific aims pages
references/nstc guidelines.md : NSTC specific guidelines and review criteria
Load these references as needed when working on specific aspects of grant writing.
Templates and Assets
assets/nsf project summary template.md : NSF project summary structure
assets/nih specific aims template.md : NIH specific aims page template
assets/budget justification template.md : Budget justification structure
Final Note : Gra