Building Your Boilerplate Library

The old way

Every new application, you dig through old proposals searching for your best mission statement, that program description you liked, the organizational history paragraph that worked. You find three versions, can’t remember which is current, and end up rewriting from memory anyway. Multiply that by every section of every application, every year.

The Grantable way

Run the /boilerplate skill and Grantable crawls your website, reads your uploaded documents, and extracts every reusable content block — mission statements, program descriptions, organizational history, impact data, leadership bios. It’s all saved in a structured library that the AI automatically references when writing new content.

Step by step

1. Upload your key documents

Before building your boilerplate, make sure your file tree includes:

Past successful proposals (especially recent ones)
Your annual report
Program descriptions and fact sheets
Organizational overview or strategic plan
Impact data and evaluation reports

The more materials you provide, the richer your boilerplate library will be.

2. Run the /boilerplate skill

Start a chat and invoke the skill:

/boilerplate “Build our boilerplate library from our website and uploaded documents”

The AI will crawl your organization’s website and read through your uploaded files to identify and extract recurring content blocks. It organizes these into a structured boilerplate document saved to your file tree at /Library/.

3. Review and refine

Open the boilerplate document and review what the AI extracted. You’ll see sections like:

Mission statement and vision
Organizational history
Program descriptions (one per program)
Impact data and outcomes
Leadership and staffing
Geographic focus
Financial overview

Edit anything that needs updating. Add sections the AI might have missed. This is your living reference document — keep it current.

4. Keep it updated

As your organization evolves, update the boilerplate:

/boilerplate “Add our new workforce development program to the boilerplate”
/boilerplate “Update the impact data with 2025 outcomes”

The AI modifies the existing boilerplate document rather than creating a new one, keeping everything in one place.

5. Let the AI use it automatically

Once your boilerplate exists, the AI references it automatically when writing. When you use /write to draft a proposal section, the AI pulls relevant boilerplate content — your mission statement, program descriptions, impact data — and adapts it for the specific funder and application.

You don’t need to paste boilerplate into every prompt. It’s always there.

Tips

Build your boilerplate early — even before your first application. It pays off immediately.
Keep it current — update after every major milestone, new program launch, or annual report.
One boilerplate per organization — if you manage multiple orgs (consultants), build a separate boilerplate for each workspace.
The AI adapts, not copies — the boilerplate is raw material. The AI tailors it for each funder and application context, adjusting tone, emphasis, and detail level.