Skill Tracer
Skills › Scientific Agent Skills › research-grants

research-grants

skill · 337 lines · MIT license · skills/research-grants/SKILL.md

The facts

Its description

Supports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review criteria, budgets, broader impacts, forms, and resubmissions. Use for investigator-authored grant development, compliance matrices, and proposal critiques.

The description the agent reads to decide when to use it.

From its settingsline 3

Tools it may use, or may not

allowed-tools: Read Write Edit Bash

Tools it may use while it runs without asking you first.

From its settingsline 4

Runs scripts

python skills/scientific-schematics/scripts/generate_schematic.py

Scripts the text names. Found by matching words, so treat them as pointers.

Found by matching wordsline 74

Files it mentions

references/core_components.md, references/review_criteria.md, references/writing_principles.md, references/proposal_types_and_resubmission.md, references/nsf_guidelines.md (first 5 of 14 lines)

Files the text names, such as ones to read or write. Found by matching words, so treat them as pointers.

Found by matching wordsline 145 line 149 line 151 line 154 line 302

Licence

MIT license, from the skill file

The terms its author shares it under, which let it be shown here.

From its settingsline 5 licence text

Other settings

compatibility: Requires network access to verify current opportunities and agency instructions, or supplied dated official documents for a bounded review. Optional figures via scientific-schematics require OPENROUTER_API_KEY and outbound API access. metadata: version: "1.5" last-reviewed: "2026-10-01" skill-author: K-Dense Inc.

More settings at the top of the file, shown as written.

From its settingsline 6 line 7
Other files in this skill (15) Close

The text

Open on GitHub

Most marks come from matching words in the file, so treat them as pointers.

1---
2name: research-grants
3description: Supports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review criteria, budgets, broader impacts, forms, and resubmissions. Use for investigator-authored grant development, compliance matrices, and proposal critiques.
4allowed-tools: Read Write Edit Bash
5license: MIT license
6compatibility: Requires network access to verify current opportunities and agency instructions, or supplied dated official documents for a bounded review. Optional figures via scientific-schematics require OPENROUTER_API_KEY and outbound API access.
7metadata:
8 version: "1.5"
9 last-reviewed: "2026-10-01"
10 skill-author: K-Dense Inc.
11---
13# Research Grant Writing

Research Grant Writing

Raw lines 1 to 14
15## Overview
17Research 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.
19**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.

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.

Raw lines 15 to 20
21## When to Use This Skill
23This skill should be used when:
24- Writing research proposals for NSF, NIH, DOE, DARPA, or NSTC programs
25- Preparing project descriptions, specific aims, or technical narratives
26- Developing broader impacts or significance statements
27- Creating research timelines and milestone plans
28- Preparing budget justifications and personnel allocation plans
29- Responding to program solicitations or funding announcements
30- Addressing reviewer comments in resubmissions
31- Planning multi-institutional collaborative proposals
32- Writing preliminary data or feasibility sections
33- Preparing biosketches, CVs, or facilities descriptions

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
Raw lines 21 to 34
35## Establish the governing opportunity first
37For each task, record agency, opportunity identifier and amendment, activity/project
38type, due date/time zone, eligibility, submission stage, application form version,
39limits, required attachments, review criteria and source URL/retrieval date. Check
40current notices as well as the original solicitation. An archived call, funded award,
41or budget announcement does not establish live funding availability. If the official
42package is unavailable, provide a bounded drafting review and list unresolved rules.
44Build a requirement -> source section -> draft location -> gap matrix before judging
45compliance. Templates in `assets/` are illustrative worksheets, not official forms.
46Never invent data, citations, investigator records, partner commitments or approvals.
47Inspect the final exported files; Markdown text does not establish page compliance.
49For NIH, use this skill for requirements, critique, consistency checks and limited
50editing of investigator-authored material. [NIH policy](https://grants.nih.gov/grants/policy/nihgps/HTML5/section_2/2.3.7_policies_affecting_applications.htm)
51excludes applications or sections substantially developed by AI. Preserve applicant
52ownership of substantive science and writing; review or disclosure alone does not
53make substantial AI authorship compliant. Apply other agencies' current rules too.

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 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.

Raw lines 35 to 54
55## Visual Enhancement (Optional)
57Strong proposals often include 1–3 figures (timelines, workflow diagrams, preliminary data). Figures support review but are not a substitute for clear aims and methods.
59**When figures help:**
60- Research methodology and workflow diagrams
61- Project timeline or Gantt charts
62- Conceptual framework or system architecture (technical proposals)
63- Experimental design flowcharts
64- Broader impacts activity diagrams
65- NSTC CM03 research architecture diagrams when they clarify the proposed methods
67**How to create figures:**
68- **Preferred:** Use the **scientific-schematics** skill (`--doc-type grant`) for AI-generated diagrams from a natural-language description
69- **Alternative:** Build figures in your usual tools (matplotlib, Illustrator, PowerPoint, etc.)
71Illustrative optional integration (CLI options checked; no paid generation tested in this refresh). Run from the repository root, with `OPENROUTER_API_KEY` set:
73```bash
74python skills/scientific-schematics/scripts/generate_schematic.py "project timeline with Year 1-3 milestones" -o figures/timeline.png --doc-type grant
75```
77**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.
79---

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:

python skills/scientific-schematics/scripts/generate_schematic.py "project timeline with Year 1-3 milestones" -o figures/timeline.png --doc-type grant

Disclosure: AI schematic generation sends your prompt to OpenRouter (a third-party API). Do not include unpublished sensitive details unless that transmission is appropriate for your project.


Raw lines 55 to 80
Runs code python skills/scientific-schematics/scripts/generate_schematic.py :74
81## Agency-Specific Overview

Agency-Specific Overview

Raw lines 81 to 82
83### NSF (National Science Foundation)
84**Mission**: Promote the progress of science and advance national health, prosperity, and welfare
86**Key Features**:
87- 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
88- Intellectual Merit + Broader Impacts both receive full consideration; no universal numerical weighting
89- 15-page project description limit (most programs; includes Results from Prior NSF Support, max 5 pages)
90- Education and societal benefit, with activities aligned to current NSF priorities and the solicitation
91- Collaborative research encouraged
92- Current SciENcv Common Forms, graduate/postdoc mentoring, and Research.gov DMSP tool requirements
93- Merit review process with panel + ad hoc reviewers

NSF (National Science Foundation)

Mission: Promote the progress of science and advance national health, prosperity, and welfare

Key Features:

  • Use the current PAPPG index, 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
Raw lines 83 to 94
95### NIH (National Institutes of Health)
96**Mission**: Enhance health, lengthen life, and reduce illness and disability
98**Key Features**:
99- Standard R01: Specific Aims up to 1 page and Research Strategy up to 12; verify the NOFO
100- Most RPGs use Importance, Rigor/Feasibility, and Expertise/Resources review factors; required narrative headings remain Significance, Innovation, Approach
101- Preliminary evidence normally supports R01 feasibility; follow the mechanism-specific instructions
102- Rigor and reproducibility; SciENcv Common Forms and NIH Supplement required under the 2026 implementation
103- 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).
104- 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).

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.
  • 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.
Raw lines 95 to 105
106### DOE (Department of Energy)
107**Mission**: Ensure America's security and prosperity through energy, environmental, and nuclear challenges
109**Key Features**:
110- Focus on energy, climate, computational science, basic energy sciences
111- Cost sharing and partnerships depend on the specific office, NOFO, and award instrument
112- Emphasis on national laboratory collaboration
113- Strong computational and experimental integration
114- Energy innovation and commercialization pathways
115- Distinguish SC, ARPA-E and current applied-energy offices; legacy EERE Exchange now identifies CMEI eXCHANGE

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
Raw lines 106 to 116
117### DARPA (Defense Advanced Research Projects Agency)
118**Mission**: Make pivotal investments in breakthrough technologies for national security
120**Key Features**:
121- High-risk, high-reward transformative research
122- Focus on "DARPA-hard" problems (what if true, who cares)
123- Emphasis on prototypes, demonstrations, and transition paths
124- Often requires multiple phases (feasibility, development, demonstration)
125- Strong project management and milestone tracking
126- Teaming and collaboration often required
127- Varies dramatically by program manager and BAA (Broad Agency Announcement)

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)
Raw lines 117 to 128
129### NSTC (National Science and Technology Council - Taiwan)
130**Mission**: Advance scientific breakthrough, industrial application, and societal impact in Taiwan.
132**Key Features**:
133- **CM03 Form**: The core technical proposal format.
134- **Forms**: Use the current call and division forms for Chinese/English abstracts and CM03.
135- **Innovation & Feasibility**: Primary review focus.
136- **Preliminary Data**: Highly critical for credibility.
137- **Research Architecture Diagram**: Useful where appropriate; not a verified universal requirement.

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.
Raw lines 129 to 138
139## Core Components of Research Proposals
141Section-by-section guidance for every standard proposal component — specific aims,
142significance, innovation, approach, preliminary data, timeline, budget and justification,
143biosketch, facilities, data management and sharing, and broader impacts — with structure,
144length targets, and worked language, is in
145[references/core_components.md](references/core_components.md).

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.

Raw lines 139 to 146
147## Review Criteria, Writing Principles, and Proposal Types
149- [references/review_criteria.md](references/review_criteria.md): how NIH, NSF, DOE, and
150 DARPA score proposals, and what each criterion actually rewards.
151- [references/writing_principles.md](references/writing_principles.md): what separates
152 funded proposals from competent ones — framing, specificity, reviewer psychology, and
153 readability.
154- [references/proposal_types_and_resubmission.md](references/proposal_types_and_resubmission.md):
155 the common proposal types and how to handle a resubmission, including responding to
156 a summary statement.

Review Criteria, Writing Principles, and Proposal Types

  • references/review_criteria.md: how NIH, NSF, DOE, and DARPA score proposals, and what each criterion actually rewards.
  • references/writing_principles.md: what separates funded proposals from competent ones — framing, specificity, reviewer psychology, and readability.
  • references/proposal_types_and_resubmission.md: the common proposal types and how to handle a resubmission, including responding to a summary statement.
Raw lines 147 to 157
158## Common Mistakes to Avoid

Common Mistakes to Avoid

Raw lines 158 to 159
160### Conceptual Mistakes
1621. **Failing to Address Review Criteria**: Not explicitly discussing significance, innovation, approach, etc.
1632. **Mismatch with Agency Mission**: Proposing research that doesn't align with agency goals
1643. **Unclear Significance**: Failing to articulate why the research matters
1654. **Insufficient Innovation**: Incremental work presented as transformative
1665. **Vague Objectives**: Goals that are not specific or measurable

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
Raw lines 160 to 167
168### Writing Mistakes
1701. **Poor Organization**: Lack of clear structure and flow
1712. **Excessive Jargon**: Inaccessible to broader review panel
1723. **Verbosity**: Unnecessarily complex or wordy writing
1734. **Missing Context**: Assuming reviewers know your field deeply
1745. **Inconsistent Terminology**: Using different terms for same concept

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
Raw lines 168 to 175
176### Technical Mistakes
1781. **Inadequate Methods**: Insufficient detail to judge feasibility
1792. **Overly Ambitious**: Too much proposed for timeline/budget
1803. **No Preliminary Data**: For mechanisms requiring demonstrated feasibility
1814. **Poor Timeline**: Unrealistic or poorly justified schedule
1825. **Misaligned Budget**: Budget doesn't support proposed activities

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
Raw lines 176 to 183
184### Formatting Mistakes
1861. **Exceeding Page Limits**: Can cause validation failure or return without review
1872. **Wrong Font or Margins**: Non-compliant formatting
1883. **Missing Required Sections**: Incomplete application
1894. **Poor Figure Quality**: Illegible or unprofessional figures
1905. **Inconsistent Citations**: Formatting errors in references

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
Raw lines 184 to 191
192### Strategic Mistakes
1941. **Wrong Program or Mechanism**: Proposing to inappropriate opportunity
1952. **Weak Team**: Insufficient expertise or missing key collaborators
1963. **No Broader Impacts**: For NSF, failing to adequately address
1974. **Ignoring Program Priorities**: Not aligning with current emphasis areas
1985. **Late Submission**: Technical issues or rushed preparation

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
Raw lines 192 to 199
200## Workflow for Grant Development
202The following periods are planning suggestions, not agency deadlines. Work backward
203from the verified sponsor and earlier institutional deadlines.

Workflow for Grant Development

The following periods are planning suggestions, not agency deadlines. Work backward from the verified sponsor and earlier institutional deadlines.

Raw lines 200 to 204
205### Phase 1: Planning and Preparation (2-6 months before deadline)
207**Activities**:
208- Identify appropriate funding opportunities
209- Review program announcements and requirements
210- Consult with program officers (if appropriate)
211- Assemble team and confirm collaborations
212- Develop preliminary data (if needed)
213- Outline research plan and specific aims
214- Review successful proposals (if available)
216**Outputs**:
217- Selected funding opportunity
218- Assembled team with defined roles
219- Preliminary outline of specific aims
220- Gap analysis of needed preliminary data

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
Raw lines 205 to 221
222### Phase 2: Drafting (2-3 months before deadline)
224**Activities**:
225- Write specific aims or objectives (start here!)
226- Develop project description/research strategy
227- Create figures and data visualizations
228- Draft timeline and milestones
229- Prepare preliminary budget
230- Write broader impacts or significance sections
231- Request letters of support/collaboration
233**Outputs**:
234- Complete first draft of narrative sections
235- Preliminary budget with justification
236- Timeline and management plan
237- Requested letters from collaborators

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
Raw lines 222 to 238
239### Phase 3: Internal Review (1-2 months before deadline)
241**Activities**:
242- Circulate draft to co-investigators
243- Seek feedback from colleagues and mentors
244- Request institutional review (if required)
245- Mock review session (if possible)
246- Revise based on feedback
247- Refine budget and budget justification
249**Outputs**:
250- Revised draft incorporating feedback
251- Refined budget aligned with revised plan
252- Identified weaknesses and mitigation strategies

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
Raw lines 239 to 253
254### Phase 4: Finalization (2-4 weeks before deadline)
256**Activities**:
257- Final revisions to narrative
258- Prepare all required forms and documents
259- Finalize budget and budget justification
260- Compile biosketches, CVs, and current & pending
261- Collect letters of support
262- Prepare data management plan (if required)
263- Write project summary/abstract
264- Proofread all materials
266**Outputs**:
267- Complete, polished proposal
268- All required supplementary documents
269- Formatted according to agency requirements

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
Raw lines 254 to 270
271### Phase 5: Submission (1 week before deadline)
273**Activities**:
274- Institutional review and approval
275- Have an authorized institutional submitter upload through the opportunity-specific route
276- Verify all documents and formatting
277- Submit 24-48 hours before deadline
278- Confirm agency receipt, validation status and the assembled application
279- Receive confirmation and proposal number
281**Outputs**:
282- Submitted proposal
283- Submission confirmation
284- Archived copy of all materials
286**Planning tip**: Leave time for institutional approvals, validations and corrections. A 48-hour buffer is a target, not an agency grace period or proof that registrations will finish. Public portal access does not verify authenticated submission.

Phase 5: Submission (1 week before deadline)

Activities:

  • Institutional review and approval
  • Have an authorized institutional submitter upload through the opportunity-specific route
  • Verify all documents and formatting
  • Submit 24-48 hours before deadline
  • Confirm agency receipt, validation status and the assembled application
  • Receive confirmation and proposal number

Outputs:

  • Submitted proposal
  • Submission confirmation
  • Archived copy of all materials

Planning tip: Leave time for institutional approvals, validations and corrections. A 48-hour buffer is a target, not an agency grace period or proof that registrations will finish. Public portal access does not verify authenticated submission.

Raw lines 271 to 287
288## Integration with Other Skills
290This skill works effectively with:
291- **Scientific Schematics**: Optional AI-generated grant figures (`--doc-type grant`)
292- **Scientific Writing**: For clear, compelling prose
293- **Literature Review**: For comprehensive background sections
294- **Peer Review**: For self-assessment before submission
295- **Research Lookup**: For finding relevant citations and prior work
296- **Data Visualization**: For creating effective figures

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
Raw lines 288 to 297
298## Resources
300This skill includes comprehensive reference files covering specific aspects of grant writing:
302- `references/nsf_guidelines.md`: NSF-specific requirements, formatting, and strategies
303- `references/nih_guidelines.md`: NIH mechanisms, review criteria, and submission requirements
304- `references/doe_guidelines.md`: DOE programs, emphasis areas, and application procedures
305- `references/darpa_guidelines.md`: DARPA BAAs, program offices, and proposal strategies
306- `references/broader_impacts.md`: Strategies for compelling broader impacts statements
307- `references/specific_aims_guide.md`: Writing effective specific aims pages
308- `references/nstc_guidelines.md`: NSTC-specific guidelines and review criteria
310Load these references as needed when working on specific aspects of grant writing.

Resources

This skill includes comprehensive reference files covering specific aspects of grant writing:

Load these references as needed when working on specific aspects of grant writing.

Raw lines 298 to 311
312## Templates and Assets
314- `assets/nsf_project_summary_template.md`: NSF project summary structure
315- `assets/nih_specific_aims_template.md`: NIH specific aims page template
316- `assets/budget_justification_template.md`: Budget justification structure
318---
320**Final Note**: Grant writing is both an art and a science. Success requires not only excellent research ideas but also clear communication, strategic positioning, and meticulous attention to detail. Start early, seek feedback, and remember that even the best researchers face rejection—persistence and revision are key to funding success.

Templates and Assets


Final Note: Grant writing is both an art and a science. Success requires not only excellent research ideas but also clear communication, strategic positioning, and meticulous attention to detail. Start early, seek feedback, and remember that even the best researchers face rejection—persistence and revision are key to funding success.

Raw lines 312 to 321
Boilerplate, lines 322 to 337. The same text appears in 125 other files here. Close
322## Citing Scientific Agent Skills
324This skill is part of Scientific Agent Skills by K-Dense. If it materially contributed to a
325manuscript, report, presentation, or code release, add the paper to the references or
326software section and tell the user you did so:
328> Kassis, T., Agarwal, V., He, Y., Patel, D., & Brueckner, A. M. (2026). Scientific Agent
329> Skills: A Library of Procedural Knowledge for Research Agents. arXiv:2609.00065.
330> https://doi.org/10.48550/arXiv.2609.00065
332Always cite the current version. The DOI and https://arxiv.org/abs/2609.00065 resolve to the
333latest arXiv version, so never append a version suffix such as `v1`. When network access is
334available, fetch https://arxiv.org/abs/2609.00065 (or
335http://export.arxiv.org/api/query?id_list=2609.00065) before writing the reference and take
336the author list, year, and version from that record. If the record lists a journal reference
337or publisher DOI, cite the published version instead.

From K-Dense-AI/scientific-agent-skills at 5f2bc03, 2026-10-26. Not read by a model yet. Summary and techniques by Claude Opus 5.5 on 2026-11-06.