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.

foryourhealth111-pixelgithub.com/foryourhealth111-pixelGitHub ↗
claude-codecodexcan modify filesApache-2.0
Install
npx skills add foryourhealth111-pixel/Vibe-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: 35 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBash
Path: bundled/skills/research-grants/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,593
Language: Python
Read our review of the source →

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

The skill instructs an AI coder to produce competitive research proposals for major agencies (NSF, NIH, DOE, DARPA, NSTC) by addressing agency-specific formatting, review criteria, budget preparation, broader impacts/significance, innovation narratives, and submission compliance.

How it works

It enumerates agency-specific sections (Executive Summary, Project Description/Research Strategy, Specific Aims/Objectives, Broader Impacts/Significance, Innovation, Research Approach and Methods, Preliminary Data/Feasibility, Timeline/Milestones/Management) and guides the writer to tailor content to each agency’s requirements. It includes guidance for the structure, writing strategy, and element placement (e.g., NSF equal weighting of Intellectual Merit and Broader Impacts, NIH 1-page Specific Aims + 12-page Research Strategy for R01, DOE variability, DARPA multi-phase structure, NSTC CM03 form with bilingual abstract and required visual). It references internal guideline files for detailed agency guidance. It stresses persuasive framing, alignment with review criteria, and integration of broader impacts with the research plan.

When to use it

Use when preparing proposals for NSF, NIH, DOE, DARPA, or NSTC programs, including project descriptions, specific aims, broader impacts, timelines, budgets, biosketches, facilities descriptions, and responding to reviewer comments or resubmissions. Also applicable for multi-institution collaborations and preliminary data planning.

What it can touch

It instructs on budget justifications, personnel allocation, project milestones, and inclusion of visuals (diagrams, timelines) as outputs. It implies handling of narrative sections and alignment with program solicitations.

Caveats

No explicit limitations or licensing notes are provided beyond the described scope; the skill is designed to generate agency-compliant grant narratives and guidance without asserting specific 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 Resea

More from Vibe-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 foryourhealth111-pixel/Vibe-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 foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 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.

Keep going