Prompt Templates for Common Tasks

For Code Generation

Create a [language] function that [specific functionality].

Requirements:
- [Requirement 1]
- [Requirement 2]
- [Requirement 3]

The function should handle edge cases like [edge case].
Include comments explaining your approach.

For Design Tasks

Design a [component/page] for [specific purpose].

Style guidelines:
- Color scheme: [colors]
- Typography: [font details]
- Design system: [Material/Fluent/etc.]

The design should be responsive and accessible.

For Data Analysis

Analyze this dataset about [topic]:
[data sample or description]

Questions to answer:
1. What are the key trends in [metric]?
2. How does [variable A] correlate with [variable B]?
3. What recommendations can be made based on this data?

Include your reasoning for each conclusion.

Common Pitfalls to Avoid

1. Vague instructions - Be specific about what you want
2. Overloading with information - Focus on what’s essential
3. Contradictory requirements - Ensure consistency in your requests
4. Missing constraints - Specify limitations and boundaries
5. Assuming domain knowledge - Provide necessary background information

By following these best practices, you’ll be able to craft prompts that consistently produce high-quality, relevant responses from AI models.