Agent skill · Code Review & Quality

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.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill research-grants --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 12
SKILL.md size: 36 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBash
Path: skills/04-研究方法与科学思维/research-grants/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

Writes competitive research grant proposals for NSF, NIH, DOE, DARPA, and NSTC, addressing agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and submission compliance.

How it works

  • Emphasizes a grants-focused persuasive narrative that demonstrates scientific rigor, feasibility, and broader impact across agencies.
  • Structures content around standard grant elements: Executive Summary, Project Description/Research Strategy, Specific Aims/Objectives, Broader Impacts/Significance, Innovation and Transformative Potential, Research Approach and Methods, Preliminary Data and Feasibility.
  • Requires inclusion of AI-generated schematics: generate at least 1 schematic/diagram describing methodology, timeline, or framework using the scientific-schematics workflow; generate via the provided commands and ensure accessibility and proper formatting.
  • Guides adaptation to each agency’s norms: NSF (Broader Impacts, 15-page limit), NIH (Specific Aims, Research Strategy, preliminary data), DOE (energy/tech focus and potential cost sharing), DARPA (high-risk, phased work, milestones), NSTC (CM03 form, bilingual abstract, mandatory visuals).
  • Recommends including project milestones, timelines, and budget justifications aligned with agency expectations.

When to use it

  • When writing proposals for NSF, NIH, DOE, DARPA, or NSTC programs
  • When preparing project descriptions, aims, or technical narratives
  • When developing broader impacts or significance statements
  • When planning timelines, milestones, budgets, and resubmission responses
  • When coordinating multi-institution proposals and biosketches

What it can touch

  • Not specified in this excerpt; the skill references integrating AI-generated figures using the scientific-schematics tool and a generation command:
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
  • Subsections mention references files for detailed agency guidance, but do not enumerate external touchpoints beyond the schematic generation workflow.

Caveats

  • License: MIT; declared author: K-Dense Inc.
  • Mandates inclusion of at least 1-2 AI-generated figures for schematics in proposals.
  • Focuses on agency-specific requirements and general grant-writing best practices; does not guarantee funding outcomes.
From the SKILL.md

# 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 ann

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Visual Enhancement with Scientific Schematics
  4. Agency-Specific Overview
  5. NSF (National Science Foundation)
  6. NIH (National Institutes of Health)
  7. DOE (Department of Energy)
  8. DARPA (Defense Advanced Research Projects Agency)
  9. NSTC (National Science and Technology Council - Taiwan)
  10. Core Components of Research Proposals
  11. 1. Executive Summary / Project Summary / Abstract
  12. 2. Project Description / Research Strategy
  13. 3. Specific Aims (NIH) or Objectives (NSF/DOE/DARPA)
  14. 4. Broader Impacts (NSF) / Significance (NIH)
Ships with 11 files
  • assets/budget_justification_template.md
  • assets/nih_specific_aims_template.md
  • assets/nsf_project_summary_template.md
  • references/README.md
  • references/broader_impacts.md
  • references/darpa_guidelines.md
  • references/doe_guidelines.md
  • references/nih_guidelines.md
  • references/nsf_guidelines.md
  • references/nstc_guidelines.md
  • references/specific_aims_guide.md
Commands it runs
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
More from qinyan-academic-skills
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About this skill
What does the research-grants skill do?

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.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill research-grants --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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