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.
Install / Use
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Education & ResearchSupported Platforms
Our assessment of research-grants
research-grants scores 92/100 on our quality scale, 105th of 436 Education & Research skills we index (top 25%).
Its SKILL.md is 37 KB long, well organised into 57 sections with 1 code example: a thorough specification that gives an agent plenty to work with.
With 4,360 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 16 days ago, so research-grants is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
research-grants compared with similar skills
All 4 of these similar skills score higher than research-grants; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| research-grants (this skill)by brycewang-stanford | 92 | 4.4k | 16d ago | SKILL.md |
| last30days-skillby mvanhorn | 100 | 63.8k | 1d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 17d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 17d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 133.6k | 6d ago | SKILL.md |
Frequently asked questions
- How do I install research-grants?
- Run
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants. The install tabs above show the steps for each supported agent. - Which AI agents does research-grants work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is research-grants safe to use?
- It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is research-grants still maintained?
- The repository was last updated 16 days ago, so research-grants is actively maintained.
Skill content
View source on GitHubname: research-grants description: 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. allowed-tools: Read Write Edit Bash license: MIT license metadata: skill-author: K-Dense Inc.
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/K-Dense-AI/claude-scientific-skills 项目名称: claude-scientific-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->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 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)
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
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.mdreferences/nstc_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 programs
- Museum exhibits or media engagement
- Policy briefs or stakeholder engagement
-
Benefits to society
- Economic impact or commercialization
- Health, environment, or national security benefits
- Informed decision-making
- Workforce development
Writing Strategy for NSF Broader Impacts:
- Be specific with concrete activities, not vague statements
- Provide timeline and milestones for broader impacts activities
- Explain how impacts will be measured and assessed
- Connect to institutional resources and existing programs
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
