Creator · brycewang-stanford
Last updated · Sep 2, 2026
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.
Creator · brycewang-stanford
Last updated · Sep 2, 2026
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.
Creator · brycewang-stanford
Last updated · Sep 2, 2026
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.
Creator · brycewang-stanford
Last updated · Sep 2, 2026
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.
Sandbox only
Install targets
Codex install prompt
Install the "research-grants" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"brycewang-stanford-research-grants","task":"Install research-grants","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Maintenance
fresh
2d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
3.7K
83/100 Quality · 73/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.7K GitHub stars
Repo activity
3.7K stars, 468 forks
Maintenance
2d since push
License
MIT license
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/brycewang-stanford-research-grants/install
Agent should check
Copy prompt
Task: Use research-grants in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install
Install command: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/brycewang-stanford-research-grants/install
LLM text format
/api/skills/brycewang-stanford-research-grants/install?format=text
Find alternatives
/api/skills/search?q=research-grants&limit=3
Agent prompt
Use research-grants for this task. Review https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install, then install with: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/brycewang-stanford-research-grants
LLM text
/api/registry/manifest/brycewang-stanford-research-grants?format=text
Install alias
/api/registry/install/brycewang-stanford-research-grants
Recommend
/api/registry/recommend?task=Use%20research-grants%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.7K GitHub stars
Stars/forks activity
PASS3.7K stars, 468 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT license
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
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--- 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
## 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
## Visual Enhancement with Scientific Schematics
**⚠️ 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:** - Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams - Simply describe your desired diagram in natural language - Nano Banana Pro will automatically generate, review, and refine the schematic
**How to generate schematics:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ```
The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory
**When to add schematics:** - Research methodology and workflow diagrams - Project timeline Gantt charts - Conceptual framework illustrations - System architecture diagrams (for technical proposals) - Experimental design flowcharts - Broader impacts activity diagrams - Collaboration network diagrams - Any complex concept that benefits from visualization
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
---
## Agency-Specific Overview
### NSF (National Science Foundation) **Mission**: Promote the progress of science and advance national health, prosperity, and welfare
**Key Features**: - Intellectual Merit + Broader Impacts (equally weighted) - 15-page project description limit (most programs) - Emphasis on education, diversity, and societal benefit - Collaborative research encouraged - Open data and open science emphasis - 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**: - Specific Aims (1 page) + Research Strategy (12 pages for R01) - Significance, Innovation, Approach as core review criteria - Preliminary data typically required for R01s - Emphasis on rigor, reproducibility, and clinical relevance - Modular budgets ($250K increments) for most R01s - Multiple resubmission opportunities
### 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 - Often requires cost sharing or industry partnerships - Emphasis on national laboratory collaboration - Strong computational and experimental integration - Energy innovation and commercialization pathways - Varies by office (ARPA-E, Office of Science, EERE, etc.)
### 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.
**Key Features**: - **CM03 Form**: The core technical proposal format. - **Bilingual**: Abstract required in both Chinese and English. - **Innovation & Feasibility**: Primary review focus. - **Preliminary Data**: Highly critical for credibility. - **Research Architecture Diagram**: A mandatory visual element for clarity.
## Core Components of Research Proposals
### 1. Executive Summary / Project Summary / Abstract
Every proposal needs a concise overview that communicates the essential elements of the research to both technical reviewers and program officers.
**Purpose**: Provide a standalone summary that captures the research vision, significance, and approach
**Length**: - NSF: 1 page (Project Summary with separate Overview, Intellectual Merit, Broader Impacts) - NIH: 30 lines (Project Summary/Abstract) - DOE: Varies (typically 1 page) - DARPA: Varies (often 1-2 pages)
**Essential Elements**: - Clear statement of the problem or research question - Why this problem matters (significance, urgency, impact) - Novel approach or innovation - Expected outcomes and deliverables - Qualifications of the team - Broader impacts or translational pathway
**Writing Strategy**: - Open with a compelling hook that establishes importance - Use accessible language (avoid jargon in opening sentences) - State specific, measurable objectives - Convey enthusiasm and confidence - Ensure every sentence adds value (no filler) - End with transformative vision or impact statement
**Common Mistakes to Avoid**: - Being too technical or detailed (save for project description) - Failing to articulate "why now" or "why this team" - Vague objectives or outcomes - Neglecting broader impacts or significance - Generic statements that could apply to any proposal
### 2. Project Description / Research Strategy
The core technical narrative that presents the research plan in detail.
**Structure Varies by Agency:**
**NSF Project Description** (typically 15 pages): - Introduction and background - Research objectives and questions - Preliminary results (if applicable) - Research plan and methodology - Timeline and milestones - Broader impacts (integrated throughout or separate section) - Prior NSF support (if applicable)
**NIH Research Strategy** (12 pages for R01): - Significance (why the problem matters) - Innovation (what's novel and transformative) - Approach (detailed research plan) - Preliminary data - Research design and methods - Expected outcomes - Potential problems and alternative approaches
**DOE Project Narrative** (varies): - Background and significance - Technical approach and innovation - Qualifications and experience - Facilities and resources - Project management and timeline
**DARPA Technical Volume** (varies): - Technical challenge and innovation - Approach and methodology - Schedule and milestones - Deliverables and metrics - Team qualifications - Risk assessment and mitigation
For detailed agency-specific guidance, refer to: - `references/nsf_guidelines.md` - `references/nih_guidelines.md` - `references/doe_guidelines.md` - `references/darpa_guidelines.md` - `references/nstc_guidelines.md`
### 3. Specific Aims (NIH) or Objectives (NSF/DOE/DARPA)
Clear, testable goals that structure the research plan.
**NIH Specific Aims Page** (1 page): - Opening paragraph: Gap in knowledge and significance - Long-term goal and immediate objectives - Central hypothesis or research question - 2-4 specific aims with sub-aims - Expected outcomes and impact - Payoff paragraph: Why this matters
**Structure for Each Aim:** - Aim statement (1-2 sentences, starts with action verb) - Rationale (why this aim, preliminary data support) - Working hypothesis (testable prediction) - Approach summary (brief methods overview) - Expected outcomes and interpretation
**Writing Strategy**: - Make aims independent but complementary - Ensure each aim is achievable within timeline and budget - Provide enough detail to judge feasibility - Include contingency plans or alternative approaches - Use parallel structure across aims - Clearly state what will be learned from each aim
For detailed guidance, refer to `references/specific_aims_guide.md`.
### 4. Broader Impacts (NSF) / Significance (NIH)
Articulate the societal, educational, or translational value of the research.
**NSF Broader Impacts** (critical component, equal weight with Intellectual Merit):
NSF explicitly evaluates broader impacts. Address at least one of these areas: 1. **Advancing discovery and understanding while promoting teaching, training, and learning** - Integration of research and education - Training of students and postdocs - Curriculum development - Educational materials and resources
2. **Broadening participation of underrepresented groups** - Recruitment and retention strategies - Partnerships with minority-serving institutions - Outreach to underrepresented communities - Mentoring programs
3. **Enhancing infrastructure for research and education** - Shared facilities or instrumentation - Cyberinfrastructure and data resources - Community-wide tools or databases - Open-source software or methods
4. **Broad dissemination to enhance scientific and technological understanding** - Public outreach and science communication - K-12 educational programs - Museum exhibits or media engagement - Policy briefs or stakeholder engagement
5. **Benefits to society** - Economic impact or commercialization - Health, environment, or national security benefits - Informed decision-making - Workforce development
**Writing Strategy for NSF Broader Impacts**: - Be specific with concrete activities, not vague statements - Provide timeline and milestones for broader impacts activities - Explain how impacts will be measured and assessed - Connect to institutional resources and existing programs
Source provenance
Decision snapshot
3,658 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for research-grants, ready for a manual X post.
research-grants: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specif... 3.7K stars https://www.openagentskill.com/skills/brycewang-stanford-research-grants?ref=x
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Install targets
Codex install prompt
Install the "research-grants" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"brycewang-stanford-research-grants","task":"Install research-grants","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Maintenance
fresh
2d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
3.7K
83/100 Quality · 73/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.7K GitHub stars
Repo activity
3.7K stars, 468 forks
Maintenance
2d since push
License
MIT license
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/brycewang-stanford-research-grants/install
Agent should check
Copy prompt
Task: Use research-grants in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install
Install command: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/brycewang-stanford-research-grants/install
LLM text format
/api/skills/brycewang-stanford-research-grants/install?format=text
Find alternatives
/api/skills/search?q=research-grants&limit=3
Agent prompt
Use research-grants for this task. Review https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install, then install with: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/brycewang-stanford-research-grants
LLM text
/api/registry/manifest/brycewang-stanford-research-grants?format=text
Install alias
/api/registry/install/brycewang-stanford-research-grants
Recommend
/api/registry/recommend?task=Use%20research-grants%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.7K GitHub stars
Stars/forks activity
PASS3.7K stars, 468 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT license
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
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--- 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
## 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
## Visual Enhancement with Scientific Schematics
**⚠️ 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:** - Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams - Simply describe your desired diagram in natural language - Nano Banana Pro will automatically generate, review, and refine the schematic
**How to generate schematics:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ```
The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory
**When to add schematics:** - Research methodology and workflow diagrams - Project timeline Gantt charts - Conceptual framework illustrations - System architecture diagrams (for technical proposals) - Experimental design flowcharts - Broader impacts activity diagrams - Collaboration network diagrams - Any complex concept that benefits from visualization
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
---
## Agency-Specific Overview
### NSF (National Science Foundation) **Mission**: Promote the progress of science and advance national health, prosperity, and welfare
**Key Features**: - Intellectual Merit + Broader Impacts (equally weighted) - 15-page project description limit (most programs) - Emphasis on education, diversity, and societal benefit - Collaborative research encouraged - Open data and open science emphasis - 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**: - Specific Aims (1 page) + Research Strategy (12 pages for R01) - Significance, Innovation, Approach as core review criteria - Preliminary data typically required for R01s - Emphasis on rigor, reproducibility, and clinical relevance - Modular budgets ($250K increments) for most R01s - Multiple resubmission opportunities
### 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 - Often requires cost sharing or industry partnerships - Emphasis on national laboratory collaboration - Strong computational and experimental integration - Energy innovation and commercialization pathways - Varies by office (ARPA-E, Office of Science, EERE, etc.)
### 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.
**Key Features**: - **CM03 Form**: The core technical proposal format. - **Bilingual**: Abstract required in both Chinese and English. - **Innovation & Feasibility**: Primary review focus. - **Preliminary Data**: Highly critical for credibility. - **Research Architecture Diagram**: A mandatory visual element for clarity.
## Core Components of Research Proposals
### 1. Executive Summary / Project Summary / Abstract
Every proposal needs a concise overview that communicates the essential elements of the research to both technical reviewers and program officers.
**Purpose**: Provide a standalone summary that captures the research vision, significance, and approach
**Length**: - NSF: 1 page (Project Summary with separate Overview, Intellectual Merit, Broader Impacts) - NIH: 30 lines (Project Summary/Abstract) - DOE: Varies (typically 1 page) - DARPA: Varies (often 1-2 pages)
**Essential Elements**: - Clear statement of the problem or research question - Why this problem matters (significance, urgency, impact) - Novel approach or innovation - Expected outcomes and deliverables - Qualifications of the team - Broader impacts or translational pathway
**Writing Strategy**: - Open with a compelling hook that establishes importance - Use accessible language (avoid jargon in opening sentences) - State specific, measurable objectives - Convey enthusiasm and confidence - Ensure every sentence adds value (no filler) - End with transformative vision or impact statement
**Common Mistakes to Avoid**: - Being too technical or detailed (save for project description) - Failing to articulate "why now" or "why this team" - Vague objectives or outcomes - Neglecting broader impacts or significance - Generic statements that could apply to any proposal
### 2. Project Description / Research Strategy
The core technical narrative that presents the research plan in detail.
**Structure Varies by Agency:**
**NSF Project Description** (typically 15 pages): - Introduction and background - Research objectives and questions - Preliminary results (if applicable) - Research plan and methodology - Timeline and milestones - Broader impacts (integrated throughout or separate section) - Prior NSF support (if applicable)
**NIH Research Strategy** (12 pages for R01): - Significance (why the problem matters) - Innovation (what's novel and transformative) - Approach (detailed research plan) - Preliminary data - Research design and methods - Expected outcomes - Potential problems and alternative approaches
**DOE Project Narrative** (varies): - Background and significance - Technical approach and innovation - Qualifications and experience - Facilities and resources - Project management and timeline
**DARPA Technical Volume** (varies): - Technical challenge and innovation - Approach and methodology - Schedule and milestones - Deliverables and metrics - Team qualifications - Risk assessment and mitigation
For detailed agency-specific guidance, refer to: - `references/nsf_guidelines.md` - `references/nih_guidelines.md` - `references/doe_guidelines.md` - `references/darpa_guidelines.md` - `references/nstc_guidelines.md`
### 3. Specific Aims (NIH) or Objectives (NSF/DOE/DARPA)
Clear, testable goals that structure the research plan.
**NIH Specific Aims Page** (1 page): - Opening paragraph: Gap in knowledge and significance - Long-term goal and immediate objectives - Central hypothesis or research question - 2-4 specific aims with sub-aims - Expected outcomes and impact - Payoff paragraph: Why this matters
**Structure for Each Aim:** - Aim statement (1-2 sentences, starts with action verb) - Rationale (why this aim, preliminary data support) - Working hypothesis (testable prediction) - Approach summary (brief methods overview) - Expected outcomes and interpretation
**Writing Strategy**: - Make aims independent but complementary - Ensure each aim is achievable within timeline and budget - Provide enough detail to judge feasibility - Include contingency plans or alternative approaches - Use parallel structure across aims - Clearly state what will be learned from each aim
For detailed guidance, refer to `references/specific_aims_guide.md`.
### 4. Broader Impacts (NSF) / Significance (NIH)
Articulate the societal, educational, or translational value of the research.
**NSF Broader Impacts** (critical component, equal weight with Intellectual Merit):
NSF explicitly evaluates broader impacts. Address at least one of these areas: 1. **Advancing discovery and understanding while promoting teaching, training, and learning** - Integration of research and education - Training of students and postdocs - Curriculum development - Educational materials and resources
2. **Broadening participation of underrepresented groups** - Recruitment and retention strategies - Partnerships with minority-serving institutions - Outreach to underrepresented communities - Mentoring programs
3. **Enhancing infrastructure for research and education** - Shared facilities or instrumentation - Cyberinfrastructure and data resources - Community-wide tools or databases - Open-source software or methods
4. **Broad dissemination to enhance scientific and technological understanding** - Public outreach and science communication - K-12 educational programs - Museum exhibits or media engagement - Policy briefs or stakeholder engagement
5. **Benefits to society** - Economic impact or commercialization - Health, environment, or national security benefits - Informed decision-making - Workforce development
**Writing Strategy for NSF Broader Impacts**: - Be specific with concrete activities, not vague statements - Provide timeline and milestones for broader impacts activities - Explain how impacts will be measured and assessed - Connect to institutional resources and existing programs
Source provenance
Decision snapshot
3,658 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for research-grants, ready for a manual X post.
research-grants: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specif... 3.7K stars https://www.openagentskill.com/skills/brycewang-stanford-research-grants?ref=x
Listing + install path for research-grants: https://www.openagentskill.com/skills/brycewang-stanford-research-grants?ref=x Install: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research...
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Install targets
Codex install prompt
Install the "research-grants" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"brycewang-stanford-research-grants","task":"Install research-grants","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Maintenance
fresh
2d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
3.7K
83/100 Quality · 73/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.7K GitHub stars
Repo activity
3.7K stars, 468 forks
Maintenance
2d since push
License
MIT license
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/brycewang-stanford-research-grants/install
Agent should check
Copy prompt
Task: Use research-grants in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install
Install command: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/brycewang-stanford-research-grants/install
LLM text format
/api/skills/brycewang-stanford-research-grants/install?format=text
Find alternatives
/api/skills/search?q=research-grants&limit=3
Agent prompt
Use research-grants for this task. Review https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install, then install with: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/brycewang-stanford-research-grants
LLM text
/api/registry/manifest/brycewang-stanford-research-grants?format=text
Install alias
/api/registry/install/brycewang-stanford-research-grants
Recommend
/api/registry/recommend?task=Use%20research-grants%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.7K GitHub stars
Stars/forks activity
PASS3.7K stars, 468 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT license
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
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--- 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
## 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
## Visual Enhancement with Scientific Schematics
**⚠️ 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:** - Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams - Simply describe your desired diagram in natural language - Nano Banana Pro will automatically generate, review, and refine the schematic
**How to generate schematics:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ```
The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory
**When to add schematics:** - Research methodology and workflow diagrams - Project timeline Gantt charts - Conceptual framework illustrations - System architecture diagrams (for technical proposals) - Experimental design flowcharts - Broader impacts activity diagrams - Collaboration network diagrams - Any complex concept that benefits from visualization
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
---
## Agency-Specific Overview
### NSF (National Science Foundation) **Mission**: Promote the progress of science and advance national health, prosperity, and welfare
**Key Features**: - Intellectual Merit + Broader Impacts (equally weighted) - 15-page project description limit (most programs) - Emphasis on education, diversity, and societal benefit - Collaborative research encouraged - Open data and open science emphasis - 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**: - Specific Aims (1 page) + Research Strategy (12 pages for R01) - Significance, Innovation, Approach as core review criteria - Preliminary data typically required for R01s - Emphasis on rigor, reproducibility, and clinical relevance - Modular budgets ($250K increments) for most R01s - Multiple resubmission opportunities
### 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 - Often requires cost sharing or industry partnerships - Emphasis on national laboratory collaboration - Strong computational and experimental integration - Energy innovation and commercialization pathways - Varies by office (ARPA-E, Office of Science, EERE, etc.)
### 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.
**Key Features**: - **CM03 Form**: The core technical proposal format. - **Bilingual**: Abstract required in both Chinese and English. - **Innovation & Feasibility**: Primary review focus. - **Preliminary Data**: Highly critical for credibility. - **Research Architecture Diagram**: A mandatory visual element for clarity.
## Core Components of Research Proposals
### 1. Executive Summary / Project Summary / Abstract
Every proposal needs a concise overview that communicates the essential elements of the research to both technical reviewers and program officers.
**Purpose**: Provide a standalone summary that captures the research vision, significance, and approach
**Length**: - NSF: 1 page (Project Summary with separate Overview, Intellectual Merit, Broader Impacts) - NIH: 30 lines (Project Summary/Abstract) - DOE: Varies (typically 1 page) - DARPA: Varies (often 1-2 pages)
**Essential Elements**: - Clear statement of the problem or research question - Why this problem matters (significance, urgency, impact) - Novel approach or innovation - Expected outcomes and deliverables - Qualifications of the team - Broader impacts or translational pathway
**Writing Strategy**: - Open with a compelling hook that establishes importance - Use accessible language (avoid jargon in opening sentences) - State specific, measurable objectives - Convey enthusiasm and confidence - Ensure every sentence adds value (no filler) - End with transformative vision or impact statement
**Common Mistakes to Avoid**: - Being too technical or detailed (save for project description) - Failing to articulate "why now" or "why this team" - Vague objectives or outcomes - Neglecting broader impacts or significance - Generic statements that could apply to any proposal
### 2. Project Description / Research Strategy
The core technical narrative that presents the research plan in detail.
**Structure Varies by Agency:**
**NSF Project Description** (typically 15 pages): - Introduction and background - Research objectives and questions - Preliminary results (if applicable) - Research plan and methodology - Timeline and milestones - Broader impacts (integrated throughout or separate section) - Prior NSF support (if applicable)
**NIH Research Strategy** (12 pages for R01): - Significance (why the problem matters) - Innovation (what's novel and transformative) - Approach (detailed research plan) - Preliminary data - Research design and methods - Expected outcomes - Potential problems and alternative approaches
**DOE Project Narrative** (varies): - Background and significance - Technical approach and innovation - Qualifications and experience - Facilities and resources - Project management and timeline
**DARPA Technical Volume** (varies): - Technical challenge and innovation - Approach and methodology - Schedule and milestones - Deliverables and metrics - Team qualifications - Risk assessment and mitigation
For detailed agency-specific guidance, refer to: - `references/nsf_guidelines.md` - `references/nih_guidelines.md` - `references/doe_guidelines.md` - `references/darpa_guidelines.md` - `references/nstc_guidelines.md`
### 3. Specific Aims (NIH) or Objectives (NSF/DOE/DARPA)
Clear, testable goals that structure the research plan.
**NIH Specific Aims Page** (1 page): - Opening paragraph: Gap in knowledge and significance - Long-term goal and immediate objectives - Central hypothesis or research question - 2-4 specific aims with sub-aims - Expected outcomes and impact - Payoff paragraph: Why this matters
**Structure for Each Aim:** - Aim statement (1-2 sentences, starts with action verb) - Rationale (why this aim, preliminary data support) - Working hypothesis (testable prediction) - Approach summary (brief methods overview) - Expected outcomes and interpretation
**Writing Strategy**: - Make aims independent but complementary - Ensure each aim is achievable within timeline and budget - Provide enough detail to judge feasibility - Include contingency plans or alternative approaches - Use parallel structure across aims - Clearly state what will be learned from each aim
For detailed guidance, refer to `references/specific_aims_guide.md`.
### 4. Broader Impacts (NSF) / Significance (NIH)
Articulate the societal, educational, or translational value of the research.
**NSF Broader Impacts** (critical component, equal weight with Intellectual Merit):
NSF explicitly evaluates broader impacts. Address at least one of these areas: 1. **Advancing discovery and understanding while promoting teaching, training, and learning** - Integration of research and education - Training of students and postdocs - Curriculum development - Educational materials and resources
2. **Broadening participation of underrepresented groups** - Recruitment and retention strategies - Partnerships with minority-serving institutions - Outreach to underrepresented communities - Mentoring programs
3. **Enhancing infrastructure for research and education** - Shared facilities or instrumentation - Cyberinfrastructure and data resources - Community-wide tools or databases - Open-source software or methods
4. **Broad dissemination to enhance scientific and technological understanding** - Public outreach and science communication - K-12 educational programs - Museum exhibits or media engagement - Policy briefs or stakeholder engagement
5. **Benefits to society** - Economic impact or commercialization - Health, environment, or national security benefits - Informed decision-making - Workforce development
**Writing Strategy for NSF Broader Impacts**: - Be specific with concrete activities, not vague statements - Provide timeline and milestones for broader impacts activities - Explain how impacts will be measured and assessed - Connect to institutional resources and existing programs
Source provenance
Decision snapshot
3,658 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
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Free and open source. Review the report before installing into production agents.
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Scenario-led draft for research-grants, ready for a manual X post.
research-grants: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specif... 3.7K stars https://www.openagentskill.com/skills/brycewang-stanford-research-grants?ref=x
Listing + install path for research-grants: https://www.openagentskill.com/skills/brycewang-stanford-research-grants?ref=x Install: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research...
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Install targets
Codex install prompt
Install the "research-grants" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/03-K-Dense-AI-claude-scientific-skills/research-grants. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"brycewang-stanford-research-grants","task":"Install research-grants","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Maintenance
fresh
2d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
3.7K
83/100 Quality · 73/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.7K GitHub stars
Repo activity
3.7K stars, 468 forks
Maintenance
2d since push
License
MIT license
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/brycewang-stanford-research-grants/install
Agent should check
Copy prompt
Task: Use research-grants in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20research-grants%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install
Install command: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grants
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/brycewang-stanford-research-grants/install
LLM text format
/api/skills/brycewang-stanford-research-grants/install?format=text
Find alternatives
/api/skills/search?q=research-grants&limit=3
Agent prompt
Use research-grants for this task. Review https://www.openagentskill.com/api/skills/brycewang-stanford-research-grants/install, then install with: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research-grantsRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/brycewang-stanford-research-grants
LLM text
/api/registry/manifest/brycewang-stanford-research-grants?format=text
Install alias
/api/registry/install/brycewang-stanford-research-grants
Recommend
/api/registry/recommend?task=Use%20research-grants%20in%20an%20agent%20workflow&limit=3
Agent fit
RAG and knowledge
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
RAG and knowledge
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.7K GitHub stars
Stars/forks activity
PASS3.7K stars, 468 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT license
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Similar skills that may fit this task.
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--- 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
## 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
## Visual Enhancement with Scientific Schematics
**⚠️ 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:** - Use the **scientific-schematics** skill to generate AI-powered publication-quality diagrams - Simply describe your desired diagram in natural language - Nano Banana Pro will automatically generate, review, and refine the schematic
**How to generate schematics:** ```bash python scripts/generate_schematic.py "your diagram description" -o figures/output.png ```
The AI will automatically: - Create publication-quality images with proper formatting - Review and refine through multiple iterations - Ensure accessibility (colorblind-friendly, high contrast) - Save outputs in the figures/ directory
**When to add schematics:** - Research methodology and workflow diagrams - Project timeline Gantt charts - Conceptual framework illustrations - System architecture diagrams (for technical proposals) - Experimental design flowcharts - Broader impacts activity diagrams - Collaboration network diagrams - Any complex concept that benefits from visualization
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
---
## Agency-Specific Overview
### NSF (National Science Foundation) **Mission**: Promote the progress of science and advance national health, prosperity, and welfare
**Key Features**: - Intellectual Merit + Broader Impacts (equally weighted) - 15-page project description limit (most programs) - Emphasis on education, diversity, and societal benefit - Collaborative research encouraged - Open data and open science emphasis - 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**: - Specific Aims (1 page) + Research Strategy (12 pages for R01) - Significance, Innovation, Approach as core review criteria - Preliminary data typically required for R01s - Emphasis on rigor, reproducibility, and clinical relevance - Modular budgets ($250K increments) for most R01s - Multiple resubmission opportunities
### 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 - Often requires cost sharing or industry partnerships - Emphasis on national laboratory collaboration - Strong computational and experimental integration - Energy innovation and commercialization pathways - Varies by office (ARPA-E, Office of Science, EERE, etc.)
### 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.
**Key Features**: - **CM03 Form**: The core technical proposal format. - **Bilingual**: Abstract required in both Chinese and English. - **Innovation & Feasibility**: Primary review focus. - **Preliminary Data**: Highly critical for credibility. - **Research Architecture Diagram**: A mandatory visual element for clarity.
## Core Components of Research Proposals
### 1. Executive Summary / Project Summary / Abstract
Every proposal needs a concise overview that communicates the essential elements of the research to both technical reviewers and program officers.
**Purpose**: Provide a standalone summary that captures the research vision, significance, and approach
**Length**: - NSF: 1 page (Project Summary with separate Overview, Intellectual Merit, Broader Impacts) - NIH: 30 lines (Project Summary/Abstract) - DOE: Varies (typically 1 page) - DARPA: Varies (often 1-2 pages)
**Essential Elements**: - Clear statement of the problem or research question - Why this problem matters (significance, urgency, impact) - Novel approach or innovation - Expected outcomes and deliverables - Qualifications of the team - Broader impacts or translational pathway
**Writing Strategy**: - Open with a compelling hook that establishes importance - Use accessible language (avoid jargon in opening sentences) - State specific, measurable objectives - Convey enthusiasm and confidence - Ensure every sentence adds value (no filler) - End with transformative vision or impact statement
**Common Mistakes to Avoid**: - Being too technical or detailed (save for project description) - Failing to articulate "why now" or "why this team" - Vague objectives or outcomes - Neglecting broader impacts or significance - Generic statements that could apply to any proposal
### 2. Project Description / Research Strategy
The core technical narrative that presents the research plan in detail.
**Structure Varies by Agency:**
**NSF Project Description** (typically 15 pages): - Introduction and background - Research objectives and questions - Preliminary results (if applicable) - Research plan and methodology - Timeline and milestones - Broader impacts (integrated throughout or separate section) - Prior NSF support (if applicable)
**NIH Research Strategy** (12 pages for R01): - Significance (why the problem matters) - Innovation (what's novel and transformative) - Approach (detailed research plan) - Preliminary data - Research design and methods - Expected outcomes - Potential problems and alternative approaches
**DOE Project Narrative** (varies): - Background and significance - Technical approach and innovation - Qualifications and experience - Facilities and resources - Project management and timeline
**DARPA Technical Volume** (varies): - Technical challenge and innovation - Approach and methodology - Schedule and milestones - Deliverables and metrics - Team qualifications - Risk assessment and mitigation
For detailed agency-specific guidance, refer to: - `references/nsf_guidelines.md` - `references/nih_guidelines.md` - `references/doe_guidelines.md` - `references/darpa_guidelines.md` - `references/nstc_guidelines.md`
### 3. Specific Aims (NIH) or Objectives (NSF/DOE/DARPA)
Clear, testable goals that structure the research plan.
**NIH Specific Aims Page** (1 page): - Opening paragraph: Gap in knowledge and significance - Long-term goal and immediate objectives - Central hypothesis or research question - 2-4 specific aims with sub-aims - Expected outcomes and impact - Payoff paragraph: Why this matters
**Structure for Each Aim:** - Aim statement (1-2 sentences, starts with action verb) - Rationale (why this aim, preliminary data support) - Working hypothesis (testable prediction) - Approach summary (brief methods overview) - Expected outcomes and interpretation
**Writing Strategy**: - Make aims independent but complementary - Ensure each aim is achievable within timeline and budget - Provide enough detail to judge feasibility - Include contingency plans or alternative approaches - Use parallel structure across aims - Clearly state what will be learned from each aim
For detailed guidance, refer to `references/specific_aims_guide.md`.
### 4. Broader Impacts (NSF) / Significance (NIH)
Articulate the societal, educational, or translational value of the research.
**NSF Broader Impacts** (critical component, equal weight with Intellectual Merit):
NSF explicitly evaluates broader impacts. Address at least one of these areas: 1. **Advancing discovery and understanding while promoting teaching, training, and learning** - Integration of research and education - Training of students and postdocs - Curriculum development - Educational materials and resources
2. **Broadening participation of underrepresented groups** - Recruitment and retention strategies - Partnerships with minority-serving institutions - Outreach to underrepresented communities - Mentoring programs
3. **Enhancing infrastructure for research and education** - Shared facilities or instrumentation - Cyberinfrastructure and data resources - Community-wide tools or databases - Open-source software or methods
4. **Broad dissemination to enhance scientific and technological understanding** - Public outreach and science communication - K-12 educational programs - Museum exhibits or media engagement - Policy briefs or stakeholder engagement
5. **Benefits to society** - Economic impact or commercialization - Health, environment, or national security benefits - Informed decision-making - Workforce development
**Writing Strategy for NSF Broader Impacts**: - Be specific with concrete activities, not vague statements - Provide timeline and milestones for broader impacts activities - Explain how impacts will be measured and assessed - Connect to institutional resources and existing programs
Source provenance
Decision snapshot
3,658 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for research-grants, ready for a manual X post.
research-grants: Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specif... 3.7K stars https://www.openagentskill.com/skills/brycewang-stanford-research-grants?ref=x
Listing + install path for research-grants: https://www.openagentskill.com/skills/brycewang-stanford-research-grants?ref=x Install: npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill research...
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shell or command execution, filesystem or document access
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shell or command execution, filesystem or document access
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