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.

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 Establish the governing opportunity first For each task, record agency, opportunity identifier and amendment, activity/project type, due date/time zone, eligibility, submission stage, application form version, limits, required attachments, review criteria and source URL/retrieval date. Check current notices as well as the original solicitation. An archived call, funded award, or budget announcement does not establish live funding availability. If the official package is unavailable, provide a bounded drafting review and list unresolved rules. Build a requirement source section draft location gap matrix before judging compliance. Templates in assets/ are illustrative worksheets, not official forms. Never invent data, citations, investigator records, partner commitments or approvals. Inspect the final exported files; Markdown text does not establish page compliance. For NIH, use this skill for requirements, critique, consistency checks and limited editing of investigator authored material. [NIH policy](https://grants.nih.gov/grants/policy/nihgps/HTML5/section 2/2.3.7 policies affecting applications.htm) excludes applications or sections substantially developed by AI. Preserve applicant ownership of substantive science and writing; review or disclosure alone does not make substantial AI authorship compliant. Apply other agencies' current rules too. 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 when they clarify the proposed methods 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.) Illustrative optional integration (CLI options checked; no paid generation tested in this refresh). 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 : Use the [current PAPPG index](https://www.nsf.gov/policies/pappg), effective supplements and solicitation; as reviewed, NSF 24 1 is supplemented by NSF 26 200 and 26 202 Intellectual Merit + Broader Impacts both receive full consideration; no universal numerical weighting 15 page project description limit (most programs; includes Results from Prior NSF Support, max 5 pages) Education and societal benefit, with activities aligned to current NSF priorities and the solicitation Collaborative research encouraged Current SciENcv Common Forms, graduate/postdoc mentoring, and Research.gov DMSP tool requirements 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 : Standard R01: Specific Aims up to 1 page and Research Strategy up to 12; verify the NOFO Most RPGs use Importance, Rigor/Feasibility, and Expertise/Resources review factors; required narrative headings remain Significance, Innovation, Approach Preliminary evidence normally supports R01 feasibility; follow the mechanism specific instructions Rigor and reproducibility; SciENcv Common Forms and NIH Supplement required under the 2026 implementation For eligible applications, modular budgets use $25,000 increments , up to $250,000 in direct costs per budget period , excluding consortium F&A; verify the NOFO and organization eligibility. See [NIH budget guidance](https://grants.nih.gov/grants/developing budget.htm). NIH permits one resubmission (A1) of an unfunded application, within 37 months of the initial application due date when the NOFO permits resubmissions; see [resubmission policy](https://grants.nih.gov/grants process/submit/submission policies/resubmission applications). 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 Cost sharing and partnerships depend on the specific office, NOFO, and award instrument Emphasis on national laboratory collaboration Strong computational and experimental integration Energy innovation and commercialization pathways Distinguish SC, ARPA E and current applied energy offices; legacy EERE Exchange now identifies CMEI eXCHANGE 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. Forms : Use the current call and division forms for Chinese/English abstracts and CM03. Innovation & Feasibility : Primary review focus. Preliminary Data : Highly critical for credibility. Research Architecture Diagram : Useful where appropriate; not a verified universal requirement. 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 : Can cause validation failure or return without review 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 The following periods are planning suggestions, not agency deadlines. Work backward from the verified sponsor and earlier institutional deadlines. 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 pos

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