research-grants
Supports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review…
Skill by K-Dense-AI
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/k-dense-ai-research-grants
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research-grants
Tools it pre-approves 4
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
ReadWriteEditBash
What's inside
- Skill name
research-grants- 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.
- License
- MIT
- 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.
- Allowed tools
- Read, Write, Edit, Bash
- Metadata
- version: 1.5 · skill-author: K-Dense Inc. · last-reviewed: 2026-10-01
- Instructions
- 327 lines in SKILL.md · view on GitHub
Before installing
- Pre-approves any shell command
Files (16)
- SKILL.md
- budget_justification_template.md · assets/
- nih_specific_aims_template.md · assets/
- nsf_project_summary_template.md · assets/
- README.md · references/
- broader_impacts.md · references/
- core_components.md · references/
- darpa_guidelines.md · references/
- doe_guidelines.md · references/
- nih_guidelines.md · references/
- nsf_guidelines.md · references/
- nstc_guidelines.md · references/
- proposal_types_and_resubmission.md · references/
- review_criteria.md · references/
- specific_aims_guide.md · references/
- writing_principles.md · references/
SKILL.md (first lines)
# 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 ## 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](https://grants.nih.gov/grants/policy/nihgps/HTML5/section_2/2.3.7_policies_affecting_applications.htm) 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. ## 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: ```bash 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](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**: - 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 - 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 ### 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](https://grants.nih.gov/grants/developing_budget.htm). - 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). ### 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 ### 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.
From K-Dense-AI/scientific-agent-skills, MIT.
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Signals
- Stars
- 54,411
- Forks
- 4,797
- Open issues
- 8
- Last commit (this folder)
- Oct 1, 2026 (1 month ago)
- Last release
- Oct 1, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.5
- License
- MIT
- Website
- arxiv.org/abs/2609.00065
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Comprehensive citation management for academic research.
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research-grants skill. Agent Mart. https://agentmart.dev/skills/k-dense-ai-research-grants (last updated 2026-10-24)