Prompt Library

Build a personal library of effective prompts that you can reuse and customize with variables. Keep the prompts that work well and reuse them across conversations and projects; save time and maintain consistency across your AI interactions.

The Prompt Library helps you capture successful prompts and turn them into reusable templates for common tasks.

Why Build a Prompt Library?

Consistency

Use proven prompts that deliver reliable results every time.

Efficiency

Skip rewriting the same instructions and jump straight to results.

Knowledge Sharing

Share effective prompts with your team to standardize AI usage.

Continuous Improvement

Refine and iterate on prompts over time based on what works best.

Video Walkthrough

Watch this step-by-step video to learn how to create and manage saved prompts in your library:

Creating Your First Saved Prompt

Identify Successful Prompts

When you get great results from a prompt, mark it as a candidate for your library. Look for prompts that:

Produce consistently good outputs
Solve common recurring tasks
Include useful structure or formatting
Minimize errors through thorough testing

Consider using the bookmark feature to store prompts in your personal library before officially adding them to your prompt library.

Save to Your Library

To save a prompt to your library, navigate to the right panel and select the “Prompts” section. From there, create or acces any prompt in your library.

Library icon in the toolbar — Locate the Library Icon

Fill in Prompt Details

In the prompt creation form, provide:

Prompt name (required): A descriptive name for your prompt
Text (required): The full prompt text with any variables you need
Description (optional): A short description displayed when using the prompt
Command name (optional): Create a custom command shortcut to invoke this prompt quickly

Give your saved prompts descriptive names that explain their purpose, like “Code Review Template” or “Meeting Notes Summary.”

Save and Use

Once saved, your prompt appears in the Prompts library where you can:

Search for prompts by name using the filter
Click on a prompt to use it in a conversation
Fill in any variables when using the prompt

Quick usage: Prompts can be invoked by typing / followed by their name or your custom command directly from any conversation.

Example of using a saved prompt in a conversation — Prompt example with a custom command '/exp'

Variable Management

Make your prompts flexible and reusable with variables you customize each time. WonkaChat supports three types of variables: basic variables for your own input, special variables that automatically insert system info, and dropdown variables that let you pick from preset options.

Basic Variable Syntax
Special Variables
Dropdown Variables

Use double curly braces {{ }} to define variables anywhere in your prompt.Example 1:

Summarize the {{document_type}} for the {{target_audience}}.

When using, you’ll be asked to fill in {{document_type}} (e.g., “meeting notes”) and {{target_audience}} (e.g., “executive team”).

Example 2:

Review the {{codebase}} and highlight {{review_focus}}.

Insert dynamic information using these built-in options (no manual entry needed):

{{current_date}} - Today’s date
{{current_user}} - Your username

Example 1:

Prepare a summary for {{current_user}} as of {{current_date}}.

Example 2:

Log entry created on {{current_datetime}} by {{current_user}}.

Use dropdowns for fields with limited, pre-defined choices.Example 1:

Summarize this as {{output_style:bullet points|paragraph|table}}.

Example 2:

Compare the solution across {{environment:development|staging|production}} environments.

Choose an option from the dropdown each time you use the prompt.

Well-designed variables make your prompts adaptable to many situations without losing effectiveness.

Prompt Library Examples

Ready-to-use templates, organized by difficulty. Start with simple communication and organization prompts. Advance to technical and detailed prompts as you gain confidence.

Simple Examples
Advanced Examples

Communication and Organization

Email Composer

Purpose: Quickly draft a professional emailPrompt:

Write a {{tone:formal|casual}} email to {{recipient}} about {{subject}}.
Main points:
{{main_points}}

Variables:

{{tone}}: Email tone (dropdown)
{{recipient}}: Person or group
{{subject}}: Email topic
{{main_points}}: What to cover

Meeting Notes Summary

Purpose: Turn rough notes into a clean summaryPrompt:

Summarize these meeting notes:

Date: {{current_date}}
People: {{participants}}
Notes: {{raw_notes}}

Variables:

{{current_date}}: Today’s date
{{participants}}: Who attended
{{raw_notes}}: Notes from the meeting

Short Article Summarizer

Purpose: Condense articles or web contentPrompt:

Summarize this {{content_type:article|blog post}} about {{topic}} for {{target_audience}}:
{{content}}

Variables:

{{content_type}}: Type of content (dropdown)
{{topic}}: Subject of the article
{{target_audience}}: Reader (e.g., students, team)
{{content}}: Text to summarize

Technical, Coding, and Analytical Prompts

Code Review Template

Purpose: Request a focused code reviewPrompt:

Review this {{language}} code for {{component_name}}.
{{code_block}}

Comment on:
1. Readability
2. {{review_focus}}

Variables:

{{language}}: Programming language
{{component_name}}: Name or purpose of code
{{code_block}}: Code to review
{{review_focus}}: Priority area (e.g., security, performance)

Bug Diagnosis Request

Purpose: Analyze and fix a bugPrompt:

Help debug this in {{system_component}}.
Error: {{error_message}}
Code:
{{code_snippet}}

Variables:

{{system_component}}: Where the bug occurs
{{error_message}}: Full error message
{{code_snippet}}: Relevant code

Quick Documentation Generator

Purpose: Generate code documentation fastPrompt:

Document this {{language}} code as {{doc_type:API|README}}.
{{code_block}}

Variables:

{{language}}: Programming language
{{doc_type}}: Kind of documentation (dropdown)
{{code_block}}: Code to document

Data Analysis Brief

Purpose: Analyze data and summarize insightsPrompt:

Analyze {{data_type:sales|user data}} for {{business_question}}:
{{data_content}}

Variables:

{{data_type}}: Type of data (dropdown)
{{business_question}}: What to investigate
{{data_content}}: The data itself

Test Case Creator

Purpose: Suggest key test scenariosPrompt:

Create test cases for {{feature_name}} in a {{application_type:web|API}}.
User story: {{user_story}}

Variables:

{{feature_name}}: Feature name
{{application_type}}: App type (dropdown)
{{user_story}}: Short user requirement

SQL Query Helper

Purpose: Write or improve SQL queriesPrompt:

{{task_type:Write|Optimize}} an SQL query for {{database_type:PostgreSQL|MySQL}}.
Goal: {{query_requirement}}

Variables:

{{task_type}}: What to do (dropdown)
{{database_type}}: Database system (dropdown)
{{query_requirement}}: Query objective

Best Practices

Descriptive Names

Use clear, descriptive names that make prompts easy to find when searching your library.

Add Descriptions

Utilize the optional description field to provide context about when and how to use each prompt.

Create Slash Commands

For frequently used prompts, set up slash commands for instant access without searching.

Test and Refine

Regularly test your saved prompts and update them based on the results you get.

Start with 5-10 prompts for your most common tasks, then expand your library gradually as you identify more reusable patterns.

Tips for a clean prompt library

Use Descriptive Variable Names

Choose variable names that clearly indicate what information is needed. Use {{user_feedback}} instead of {{text}} or {{input}}.

Leverage Special Variables

Take advantage of {{current_date}}, {{current_user}}, and other built-in variables to automatically include context without manual input.

Keep Prompts Focused

Create separate prompts for different tasks rather than one overly complex prompt. Focused prompts are not only easier to maintain and reuse, but also yield better results.

Welcome to WonkaChat

AI Agents

Tools & Connection

Improved Usage

Pricing & Plans

Security & Governance

Support & Resources

Legal

Why Build a Prompt Library?

Consistency

Efficiency

Knowledge Sharing

Continuous Improvement

Video Walkthrough

Creating Your First Saved Prompt

Variable Management

Prompt Library Examples

Communication and Organization

Technical, Coding, and Analytical Prompts

Best Practices

Descriptive Names

Add Descriptions

Create Slash Commands

Test and Refine

Tips for a clean prompt library

​Why Build a Prompt Library?

Consistency

Efficiency

Knowledge Sharing

Continuous Improvement

​Video Walkthrough

​Creating Your First Saved Prompt

​Variable Management

​Prompt Library Examples

​Communication and Organization

​Technical, Coding, and Analytical Prompts

​Best Practices

Descriptive Names

Add Descriptions

Create Slash Commands

Test and Refine

​Tips for a clean prompt library

Why Build a Prompt Library?

Video Walkthrough

Creating Your First Saved Prompt

Variable Management

Prompt Library Examples

Communication and Organization

Technical, Coding, and Analytical Prompts

Best Practices

Tips for a clean prompt library