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.
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill research-grants
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.
This skill should be used when:
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:
How to create figures:
--doc-type grant) for AI-generated diagrams from a natural-language descriptionFrom the scientific-schematics skill directory, with OPENROUTER_API_KEY set:
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 (a third-party API). Do not include unpublished sensitive details unless that transmission is appropriate for your project.
Mission: Promote the progress of science and advance national health, prosperity, and welfare
Key Features:
Mission: Enhance health, lengthen life, and reduce illness and disability
Key Features:
Mission: Ensure America's security and prosperity through energy, environmental, and nuclear challenges
Key Features:
Mission: Make pivotal investments in breakthrough technologies for national security
Key Features:
Mission: Advance scientific breakthrough, industrial application, and societal impact in Taiwan.
Key Features:
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.
DARPA score proposals, and what each criterion actually rewards.
funded proposals from competent ones — framing, specificity, reviewer psychology, and
readability.
the common proposal types and how to handle a resubmission, including responding to
a summary statement.
Activities:
Outputs:
Activities:
Outputs:
Activities:
Outputs:
Activities:
Outputs:
Activities:
Outputs:
Critical Tip: Never wait until the deadline. Portals crash, files corrupt, and emergencies happen. Aim for 48 hours early.
This skill works effectively with:
--doc-type grant)This skill includes comprehensive reference files covering specific aspects of grant writing:
references/nsf_guidelines.md: NSF-specific requirements, formatting, and strategiesreferences/nih_guidelines.md: NIH mechanisms, review criteria, and submission requirementsreferences/doe_guidelines.md: DOE programs, emphasis areas, and application proceduresreferences/darpa_guidelines.md: DARPA BAAs, program offices, and proposal strategiesreferences/broader_impacts.md: Strategies for compelling broader impacts statementsreferences/specific_aims_guide.md: Writing effective specific aims pagesreferences/nstc_guidelines.md: NSTC-specific guidelines and review criteriaLoad these references as needed when working on specific aspects of grant writing.
assets/nsf_project_summary_template.md: NSF project summary structureassets/nih_specific_aims_template.md: NIH specific aims page templateassets/budget_justification_template.md: Budget justification structureFinal 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.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Take k-dense-ai/research-grants from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.