research-grants
Assists in drafting compliant, persuasive federal research grant proposals for major funding agencies.
Install
mkdir -p .claude/skills/research-grants && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/368" && unzip -o skill.zip -d .claude/skills/research-grants && rm skill.zipInstalls to .claude/skills/research-grants
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.Key capabilities
- →Draft agency-specific proposal narratives
- →Structure NIH specific aims and NSF project descriptions
- →Generate compliant budget justification tables
- →Create visual research schematics
How it works
Applies a template-based review checklist against specific agency formatting and content criteria.
Inputs & outputs
When to use research-grants
- →Drafting NSF broader impact statements
- →Structuring NIH specific aims pages
- →Preparing federal research budget justifications
- →Aligning project narratives with DARPA review criteria
About this skill
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), and DARPA (Defense Advanced Research Projects Agency) 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, or DARPA 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 with Scientific Schematics
⚠️ MANDATORY: Every research grant proposal MUST include at least 1-2 AI-generated figures using the scientific-schematics skill.
This is not optional. Grant proposals without visual elements are incomplete and less competitive. Before finalizing any document:
- Generate at minimum ONE schematic or diagram (e.g., project timeline, methodology flowchart, or conceptual framework)
- Prefer 2-3 figures for comprehensive proposals (research workflow, Gantt chart, preliminary data visualization)
How to generate figures:
- Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
- Nano Banana Pro will automatically generate, review, and refine the schematic
How to generate schematics:
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
The AI will automatically:
- Create publication-quality images with proper formatting
- Review and refine through multiple iterations
- Ensure accessibility (colorblind-friendly, high contrast)
- Save outputs in the figures/ directory
When to add schematics:
- Research methodology and workflow diagrams
- Project timeline Gantt charts
- Conceptual framework illustrations
- System architecture diagrams (for technical proposals)
- Experimental design flowcharts
- Broader impacts activity diagrams
- Collaboration network diagrams
- Any complex concept that benefits from visualization
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
Agency-Specific Overview
NSF (National Science Foundation)
Mission: Promote the progress of science and advance national health, prosperity, and welfare
Key Features:
- Intellectual Merit + Broader Impacts (equally weighted)
- 15-page project description limit (most programs)
- 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)
Core Components of Research Proposals
1. Executive Summary / Project Summary / Abstract
Every proposal needs a concise overview that communicates the essential elements of the research to both technical reviewers and program officers.
Purpose: Provide a standalone summary that captures the research vision, significance, and approach
Length:
- NSF: 1 page (Project Summary with separate Overview, Intellectual Merit, Broader Impacts)
- NIH: 30 lines (Project Summary/Abstract)
- DOE: Varies (typically 1 page)
- DARPA: Varies (often 1-2 pages)
Essential Elements:
- Clear statement of the problem or research question
- Why this problem matters (significance, urgency, impact)
- Novel approach or innovation
- Expected outcomes and deliverables
- Qualifications of the team
- Broader impacts or translational pathway
Writing Strategy:
- Open with a compelling hook that establishes importance
- Use accessible language (avoid jargon in opening sentences)
- State specific, measurable objectives
- Convey enthusiasm and confidence
- Ensure every sentence adds value (no filler)
- End with transformative vision or impact statement
Common Mistakes to Avoid:
- Being too technical or detailed (save for project description)
- Failing to articulate "why now" or "why this team"
- Vague objectives or outcomes
- Neglecting broader impacts or significance
- Generic statements that could apply to any proposal
2. Project Description / Research Strategy
The core technical narrative that presents the research plan in detail.
Structure Varies by Agency:
NSF Project Description (typically 15 pages):
- Introduction and background
- Research objectives and questions
- Preliminary results (if applicable)
- Research plan and methodology
- Timeline and milestones
- Broader impacts (integrated throughout or separate section)
- Prior NSF support (if applicable)
NIH Research Strategy (12 pages for R01):
- Significance (why the problem matters)
- Innovation (what's novel and transformative)
- Approach (detailed research plan)
- Preliminary data
- Research design and methods
- Expected outcomes
- Potential problems and alternative approaches
DOE Project Narrative (varies):
- Background and significance
- Technical approach and innovation
- Qualifications and experience
- Facilities and resources
- Project management and timeline
DARPA Technical Volume (varies):
- Technical challenge and innovation
- Approach and methodology
- Schedule and milestones
- Deliverables and metrics
- Team qualifications
- Risk assessment and mitigation
For detailed agency-specific guidance, refer to:
references/nsf_guidelines.mdreferences/nih_guidelines.mdreferences/doe_guidelines.mdreferences/darpa_guidelines.md
3. Specific Aims (NIH) or Objectives (NSF/DOE/DARPA)
Clear, testable goals that structure the research plan.
NIH Specific Aims Page (1 page):
- Opening paragraph: Gap in knowledge and significance
- Long-term goal and immediate objectives
- Central hypothesis or research question
- 2-4 specific aims with sub-aims
- Expected outcomes and impact
- Payoff paragraph: Why this matters
Structure for Each Aim:
- Aim statement (1-2 sentences, starts with action verb)
- Rationale (why this aim, preliminary data support)
- Working hypothesis (testable prediction)
- Approach summary (brief methods overview)
- Expected outcomes and interpretation
Writing Strategy:
- Make aims independent but complementary
- Ensure each aim is achievable within timeline and budget
- Provide enough detail to judge feasibility
- Include contingency plans or alternative approaches
- Use parallel structure across aims
- Clearly state what will be learned from each aim
For detailed guidance, refer to references/specific_aims_guide.md.
4. Broader Impacts (NSF) / Significance (NIH)
Articulate the societal, educational, or translational value of the research.
NSF Broader Impacts (critical component, equal weight with Intellectual Merit):
NSF explicitly evaluates broader impacts. Address at least one of these areas:
-
Advancing discovery and understanding while promoting teaching, training, and learning
- Integration of research and education
- Training of students and postdocs
- Curriculum development
- Educational materials and resources
-
Broadening participation of underrepresented groups
- Recruitment and retention strategies
- Partnerships with minority-serving institutions
- Outreach to underrepresented communities
- Mentoring programs
-
Enhancing infrastructure for research and education
- Shared facilities or instrumentation
- Cyberinfrastructure and data resources
- Community-wide tools or databases
- Open-source software or methods
-
Broad dissemination to enhance scientific and technological understanding
- Public outreach and science communication
- K-12 educational pr
Content truncated.
When not to use it
- →Writing non-academic or non-federal documents
- →Submitting applications to private equity firms
Limitations
- →Requires human input for technical data accuracy
- →Visuals require an external scientific-schematics tool
How it compares
Aligns generic research text with strict agency-specific review criteria and mandates visual documentation.
Compared to similar skills
research-grants side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| research-grants (this skill) | 6 | 7mo | Review | Advanced |
| content-research-writer | 15 | 10mo | No flags | Beginner |
| figure-caption | 0 | 1mo | No flags | Intermediate |
| historical-document-ocr | 0 | 2mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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