pipeline
Classical end-to-end empirical analysis workflow in the traditional Python econometric stack — pandas + numpy + scipy + statsmodels + linearmodels + pyfixest +…
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 -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/research-grantsContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
name: 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 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:
**⚠️ 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: 1. Generate at minimum ONE schematic or diagram (e.g., project timeline, methodology flowchart, or conceptual framework) 2. Prefer 2-3 figures for comprehensive proposals (research workflow, Gantt chart, preliminary data visualization)
**How to generate figures:**
**How to generate schematics:**
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
The AI will automatically:
**When to add schematics:**
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
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**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**:
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
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