Prompt Library#

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