Community & Collaborative Prompting

When sharing prompts with the community, include:

1. Prompt title and version - Clear identification
2. Purpose and use case - What problem does it solve?
3. Target models - Which AI models it's optimized for
4. Required inputs - Parameters that need to be supplied
5. Expected outputs - What results to anticipate
6. Limitations - Known edge cases or limitations
7. Performance metrics - How success is measured
8. Attribution - Credit to contributors

"# [Prompt Name] v[Version Number]

## Purpose
[Brief description of what this prompt does and why it's useful]

## Compatible Models
- Primary: [Model this prompt was designed for]
- Also tested with: [Other models that work well]

## Input Parameters
- [PARAMETER_1]: [Description]
- [PARAMETER_2]: [Description]

## The Prompt
```
[Full prompt text with parameter placeholders]
```

## Example Usage
[Example with real values replacing parameters]

## Expected Output
[Example of typical output or output format]

## Performance Notes
[Any observations about performance, success rates, etc.]

## Limitations
[Known issues or edge cases]

## Contributors
- [Name/Username] - [Contribution]
- [Name/Username] - [Contribution]

## License
[How others can use/modify this prompt]"

1. Define objectives - Clear goals and success criteria
2. Assign roles - Subject matter experts, prompt engineers, testers
3. Draft iterations - Starting with simple versions and iteratively improving
4. Peer review - Cross-checking by team members
5. Test and benchmark - Systematic evaluation across test cases
6. Refine based on data - Make improvements based on performance metrics
7. Document comprehensively - Full documentation including version history

• Use clear interfaces between prompt stages (defined input/output formats)
• Create visualization of the complete prompt chain
• Test individual components before integration
• Implement error handling between stages
• Design clear handoffs between different team members' contributions

• Transparency - Be honest about capabilities and limitations
• Attribution - Give proper credit for prompts you build upon
• Safety first - Design with safeguards against misuse
• Inclusive design - Consider diverse perspectives and needs
• Accessibility - Create prompts that work for users with varying technical skills
• Feedback mechanisms - Include ways for users to report issues

1. Understand the original intent before modifying
2. Test changes systematically against the original version
3. Document what changes were made and why
4. Maintain backward compatibility when possible
5. Update version numbers appropriately

• Organize by use case or industry
• Implement consistent naming conventions
• Include metadata for searchability
• Provide clear usage examples
• Implement version control
• Create documentation for the overall library structure

When sharing prompts on our platform:

1. Use our standard template for consistency
2. Test thoroughly before submission
3. Be responsive to community questions and feedback
4. Tag appropriately for discoverability
5. Respect intellectual property and give proper attribution
6. Follow our community code of conduct in all interactions
7. Update your prompts as AI models evolve

The LetPromptAI community recognizes contributions through:

• Contributor badges based on quality and quantity of submissions
• Expertise designations in specific domains or models
• Featured prompts for exceptional contributions
• Community challenges with recognition for innovative solutions
• Mentor opportunities for experienced contributors

1. Create your profile on LetPromptAI
2. Browse existing prompts to understand community standards
3. Start with improvements to existing prompts before creating new ones
4. Participate in discussions to build connections
5. Share your expertise by answering questions from newer members
6. Join a collaborative project to work with experienced prompt engineers