# Research Grants

> Redacta propuestas de investigación competitivas para NSF, NIH, DOE, DARPA y el NSTC de Taiwán: formato por agencia, criterios de revisión, presupuesto, broader impacts, significancia e innovación.

Fuente: https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/research-grants
Markdown: https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/research-grants.md

Repositorio: https://github.com/K-Dense-AI/scientific-agent-skills
Autor: K-Dense-AI
Licencia: MIT license
Actualizado: el mes pasado
Coste de contexto: 64 tok instalada, 3.3k tok al activarse, 62.8k tok con todos los archivos del bundle
Bundle: 16 archivos, 245 KB
Permisos que pide: read write edit bash

## Instalación

Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina.

```bash
# Claude Code
npx -y skills add K-Dense-AI/scientific-agent-skills --skill research-grants --agent claude-code
# Cursor
npx -y skills add K-Dense-AI/scientific-agent-skills --skill research-grants --agent cursor
# Codex
npx -y skills add K-Dense-AI/scientific-agent-skills --skill research-grants --agent codex
# Gemini CLI
npx -y skills add K-Dense-AI/scientific-agent-skills --skill research-grants --agent gemini
# Windsurf
npx -y skills add K-Dense-AI/scientific-agent-skills --skill research-grants --agent windsurf
# Cline
npx -y skills add K-Dense-AI/scientific-agent-skills --skill research-grants --agent cline
```

## Qué hace

- Guía la redacción de propuestas de investigación para NSF, NIH, DOE, DARPA y el NSTC de Taiwán
- Cubre la estructura por sección: specific aims, significancia, innovación, enfoque, datos preliminares, cronograma y presupuesto
- Explica criterios de revisión específicos de cada agencia y los errores más frecuentes que causan rechazo
- Guía las cinco fases del desarrollo de una propuesta, desde la planificación hasta el envío
- Genera figuras opcionales (cronogramas, diagramas de arquitectura de investigación) con la skill scientific-schematics

## Cuándo usarla

- Se escriben propuestas para NSF, NIH, DOE, DARPA o programas del NSTC de Taiwán
- Se preparan specific aims, broader impacts o narrativas de significancia e innovación
- Se responde a comentarios de revisores en una resubmisión
- Se prepara presupuesto, biosketches o cronograma de un proyecto de investigación

## Qué la activa

- "Ayúdame a escribir la sección de specific aims para un R01 del NIH"
- "Redacta el broader impacts de mi propuesta NSF"
- "Revisa esta propuesta DARPA antes de enviarla"
- "Prepara el research architecture diagram del formulario CM03 del NSTC"

## Antes de instalar

- Las figuras opcionales vía la skill scientific-schematics requieren la variable de entorno OPENROUTER_API_KEY y acceso saliente a esa API.
- Necesita en el PATH: python

## Archivos

- SKILL.md — 13 KB
- assets/budget_justification_template.md — 22 KB
- assets/nih_specific_aims_template.md — 11 KB
- assets/nsf_project_summary_template.md — 6 KB
- references/README.md — 9 KB
- references/broader_impacts.md — 23 KB
- references/core_components.md — 15 KB
- references/darpa_guidelines.md — 20 KB
- references/doe_guidelines.md — 19 KB
- references/nih_guidelines.md — 30 KB
- references/nsf_guidelines.md — 21 KB
- references/nstc_guidelines.md — 26 KB
- references/proposal_types_and_resubmission.md — 3 KB
- references/review_criteria.md — 3 KB
- references/specific_aims_guide.md — 21 KB
- references/writing_principles.md — 3 KB

## SKILL.md

Reproducido tal cual desde K-Dense-AI/scientific-agent-skills bajo MIT license. Esta sección es el documento original y está en inglés.

# 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.)

From the `scientific-schematics` skill directory, with `OPENROUTER_API_KEY` set:

```bash
python 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](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**: 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.

## Dónde encaja

- Categoría: [Documentos](https://skillsagentes.com/categorias/documentos.md) — Lee, escribe y transforma archivos PDF, DOCX, XLSX y PPTX.
- Creador: [K-Dense-AI](https://skillsagentes.com/creators/k-dense-ai.md) — 163 skills en el directorio
- [Todas las skills](https://skillsagentes.com/skills.md)
- [Ranking de instalaciones](https://skillsagentes.com/ranking.md)

## Otras skills del mismo repositorio

- [Citation Management](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/citation-management.md): Gestión integral de citas académicas: busca en OpenAlex, PubMed y Google Scholar, extrae metadatos precisos, valida citas y genera entradas BibTeX correctamente formateadas.
- [Scientific Slides](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/scientific-slides.md): Crea decks de diapositivas y presentaciones para charlas de investigación: PowerPoint, presentaciones de conferencia, seminarios, defensas de tesis. Da estructura, plantillas, guía de tiempos y validación visual.
- [Literature Review](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/literature-review.md): Realiza revisiones bibliográficas sistemáticas y completas usando varias bases académicas (PubMed, arXiv, bioRxiv, Semantic Scholar). Genera markdown y PDF con citas verificadas en varios estilos (APA, Nature, Vancouver).
- [Infographics](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/infographics.md): Crea infografías profesionales con Nano Banana Pro AI y refinamiento iterativo inteligente. Usa Gemini 3.6 Flash para revisar la calidad e integra investigación con Perplexity Sonar. Soporta 10 tipos, 8 estilos y paletas para daltonismo.
- [Latex Posters](https://skillsagentes.com/skills/k-dense-ai/scientific-agent-skills/latex-posters.md): Crea pósteres de investigación profesionales en LaTeX con beamerposter, tikzposter o baposter, para conferencias y comunicación científica: layout, colores, columnas múltiples e integración de figuras.

---

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