Prompt Snippet Library

A curated collection of reusable prompt snippets for system prompts, workflows, and AI agents. Each snippet includes both text and JSON integration examples.

Repository Structure

📋 Model Identification

• model-identification.md - Snippet for requesting model name and version identification

🔄 Workflow Control

• single-turn-workflow.md - Ensures definitive, complete responses without follow-up questions

🎨 Formatting Instructions

• raw-markdown.md - Raw markdown output formatting
• gmail-safe-html.md - Email-client safe HTML formatting
• csv-output.md - CSV data formatting within code blocks
• sql-output.md - Valid SQL statement formatting

🔗 Source Handling

• sources-section.md - Dedicated sources section with simple hyperlinks

📝 Output Structure

• prompt-summary.md - Begin output with improved summary of user's prompt
• verbatim-prompt.md - Begin output with exact reproduction of user's prompt
• timestamp.md - Add timestamp to start of every output

Alphabetical Index

• CSV Output - This snippet formats output as CSV data within a code block, producing immediately importable data that is compatible with Excel, Google Sheets, and database import tools.
• Gmail Safe HTML - This Gmail-safe HTML formatting snippet is designed for email marketing templates and automated email generation, ensuring compatibility with major email clients while avoiding security issues and style stripping.
• Model Identification - This prompt snippet is used to require users to identify their model version, facilitating logging, debugging, and route-specific workflows for models that support this functionality.
• Prompt Summary - This prompt snippet helps generate a clear summary of the user's request, improving communication clarity and providing a structured output format for professional or documentation purposes.
• Raw Markdown - This prompt snippet helps you generate clean and compatible raw markdown output for documentation systems like README files, reducing HTML injection risks and ensuring proper formatting.
• Single Turn Workflow - This single-turn workflow ensures comprehensive, definitive responses without back-and-forth by providing clear instructions for model output, ideal for automated workflows with batch processing or API integrations.
• Sources Section - This prompt snippet provides guidance on how to structure and integrate sources within written content, ensuring accessibility and readability across various systems.
• SQL Output - This snippet generates immediately executable SQL code with proper syntax highlighting and protection against SQL injection, ideal for database administration and data analysis tasks.
• Timestamp - This snippet provides a structured way to embed current date and time into user responses for logging, auditing, and time-sensitive purposes.
• Verbatim Prompt - This prompt snippet ensures that user requests are accurately recorded and preserved, providing a clear audit trail for conversation logging, debugging, and maintaining accountability in automated systems.

Usage

Each snippet file contains:

1. Text Version - Ready-to-use prompt text
2. JSON Integration Example - How to integrate into JSON-based systems
3. Usage Notes - Context and best practices

Integration Examples

System Prompt Integration

{
  "system_prompt": "[snippet text] [your additional instructions...]",
  "user_prompt": "Your user prompt here"
}

Workflow Chaining

Combine multiple snippets for complex workflows:

[Model Identification] + [Single Turn Workflow] + [Formatting Instructions]

Contributing

When adding new snippets:

1. Create appropriately named folders for categories
2. Include both text and JSON examples
3. Add usage notes and context
4. Update this README with the new snippet location