Overview
This prompt aims to guide developers in creating a text formatting function for programming applications. Programmers and coders will benefit by learning how to implement versatile text styling features.
Prompt Overview
Purpose: This function formats text by applying specified styles to enhance readability and emphasis.
Audience: It is designed for developers and content creators who need to manipulate text formatting programmatically.
Distinctive Feature: The function handles overlapping formats and maintains the original text structure without malformed syntax.
Outcome: Users receive correctly formatted text output that meets their styling requirements efficiently.
Quick Specs
- Media: Text
- Use case: Generation
- Industry: Creative Writing & Storytelling, Development Tools & DevOps, Productivity & Workflow
- Techniques: Decomposition, Structured Output, Zero-Shot Prompting
- Models: Claude 3.5 Sonnet, Gemini 2.0 Flash, GPT-4o, Llama 3.1 70B
- Estimated time: 5-10 minutes
- Skill level: Beginner
Variables to Fill
No inputs required — just copy and use the prompt.
Example Variables Block
No example values needed for this prompt.
The Prompt
Add a text formatting function to the provided content input.
The function should enable applying common text styles such as:
– Bold
– Italic
– __Underline__
– ~~Strikethrough~~
to selected portions of the text.
Consider how the formatting can be represented: for example, using markup tags, markdown syntax, or HTML tags.
When designing the function, ensure that it:
– Accepts raw text input.
– Allows specification of which portions of the text to format and how.
– Outputs the text with the appropriate formatting applied, maintaining the original text structure.
– Handles overlapping formatting correctly and avoids malformed syntax.
## Steps
1. Identify the format input method (e.g., by character indices or by selection).
2. Define the formatting markers or tags to be applied.
3. Implement the logic to insert formatting markers at the correct positions.
4. Ensure nested or overlapping formats are properly handled.
5. Return the fully formatted text output.
## Output Format
Return the text with formatting applied using the chosen markup (e.g., markdown, HTML).
## Notes
– The implementation should be language-agnostic and focus on the formatting logic.
– If multiple formatting types are applied simultaneously, ensure readability and validity of the output.
## Examples
**Input Text:** “Hello world”
**Format:** Bold on characters 0-4
**Output:** “**Hello** world”
**Input Text:** “This is a test”
**Format:** Italic on characters 5-6, Underline on characters 8-9
**Output:** “This *is* a test”
Screenshot Examples
How to Use This Prompt
- Copy the prompt provided above.
- Paste the prompt into your coding environment.
- Implement the text formatting function as described.
- Test the function with various input examples.
- Ensure the output maintains correct formatting and structure.
Tips for Best Results
- Define Input Method: Decide how users will specify text portions for formatting, such as character indices or selection.
- Choose Markup Tags: Select appropriate tags for each formatting style, like for bold and for underline.
- Implement Formatting Logic: Write the function to insert the chosen tags at the correct positions in the text.
- Handle Overlaps: Ensure the function can manage overlapping formats without creating malformed syntax.
FAQ
- What is the purpose of the text formatting function?
It applies common text styles like bold, italic, underline, and strikethrough to selected text. - How does the function accept text input?
It accepts raw text input and allows specifying portions to format and their styles. - What should the function maintain in the output?
The function should maintain the original text structure while applying the formatting. - How should overlapping formats be handled?
The function must handle overlapping formats correctly to avoid malformed syntax in the output.
Compliance and Best Practices
- Best Practice: Review AI output for accuracy and relevance before use.
- Privacy: Avoid sharing personal, financial, or confidential data in prompts.
- Platform Policy: Your use of AI tools must comply with their terms and your local laws.
Revision History
- Version 1.0 (February 2026): Initial release.
