Prompt Library

Store, organize, search, and reuse customizable prompt templates with variables to streamline your workflow and avoid rewriting prompts.

Store, organize, and retrieve reusable prompt templates. Stop rewriting the same prompts — build a personal library.

Tools

prompt_save

Save a prompt template to your library.

Parameters:

• name (string, required): Short name for the prompt (e.g. "blog-outline", "sales-email")
• template (string, required): The prompt template text. Use {{variable}} for placeholders.
• category (string, optional): Category tag (e.g. "writing", "coding", "research", "sales")
• description (string, optional): Brief description of what the prompt does
• variables (string[], optional): List of variable names used in the template

Returns: Confirmation with prompt ID.

prompt_search

Search your prompt library by keyword or category.

Parameters:

• query (string, optional): Search term to match against name, description, or template content
• category (string, optional): Filter by category
• limit (number, optional): Max results, default 10

Returns: List of matching prompts with name, category, and preview.

prompt_use

Retrieve a prompt template and fill in variables.

Parameters:

• name (string, required): Name of the saved prompt
• variables (object, optional): Key-value pairs to fill in {{variable}} placeholders

Returns: The filled prompt, ready to use.

prompt_list_categories

List all categories in your library with prompt counts.

Returns: Category names and counts.

prompt_delete

Remove a prompt from your library.

Parameters:

• name (string, required): Name of the prompt to delete

Returns: Confirmation.

prompt_export

Export your entire prompt library as JSON.

Returns: Full library data.

Storage

Prompts are stored in memory/prompts/ as individual markdown files for easy version control and portability.

Example Usage

text

Save: prompt_save name="cold-email" template="Hi {{name}}, I noticed {{observation}}. I built {{product}} that could help with {{pain_point}}. Would you be open to a quick look?" category="sales"

Search: prompt_search query="email" category="sales"

Use: prompt_use name="cold-email" variables={"name": "Alex", "observation": "your team ships weekly", "product": "a deployment tracker", "pain_point": "release coordination"}

Why This Exists

Agents that build up prompt libraries become more efficient over time. Instead of crafting prompts from scratch each session, reuse what works. Compound your prompt engineering.

Tags

utility, productivity, prompts, templates, writing