An expert AI writing assistant designed to generate structured, agency-compliant grant proposal sections for NIH, NSF, and other major funding bodies.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install grant-proposal-assistant
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install grant-proposal-assistant using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Grant Proposal Assistant is a specialized technical framework within the Openclaw Skills ecosystem designed to assist researchers and scientists in navigating the complex world of federal funding. By providing structured section generators for Specific Aims, Research Strategy, and Budget Justifications, it minimizes the administrative burden of grant writing.
This tool bridges the gap between raw scientific ideas and competitive applications by enforcing agency-specific formatting and logic. Whether you are drafting a 12-page NIH R01 Research Strategy or an NSF Project Description focusing on broader impacts, this skill ensures your drafts align with current best practices and reviewer expectations.
To begin using this tool within your environment, ensure you have Python 3 installed. No additional external packages are required for the core functionality of these Openclaw Skills.
# Clone the skill repository
git clone <repository-url>
cd grant-proposal-assistant
# Verify the installation by generating a test aims page
python3 scripts/main.py --section aims --output test_aims.md
The skill utilizes a structured reference system and local file output to manage proposal data.
| File Type | Location | Purpose |
|---|---|---|
| Templates | references/*.md |
Agency-specific structures (NIH R01, NSF, etc.) |
| Budget Data | references/*.xlsx |
Categorized cost templates |
| Review Logic | references/review_checklist.md |
Quality control and evaluation criteria |
| Output Files | User-defined | Generated .md files for the research workspace |
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