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README.md
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A collection of short system prompts for transforming STT-processed text into
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various formats and styles
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---
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A collection of short system prompts for transforming STT-processed text into
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various formats and styles
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---
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# Text Transformation Prompt Library
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A comprehensive collection of text transformation prompts for reformatting dictated text into various formats, styles, and structures.
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## Quick Links
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[](./index.md)
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[](./prompts.json)
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## Repository Structure
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### `/prompts/`
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The main collection of text transformation prompts.
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- **`/prompts/md/`** - Markdown format prompts
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- **`/prompts/json/`** - JSON format equivalents of the markdown prompts
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## Prompt Structure
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Each prompt follows a standardized markdown format:
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```markdown
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# [Prompt Name]
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## Name
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[Descriptive name]
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## Description
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[Optional description]
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## System Prompt Text
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```
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[The actual prompt text that will be used by AI systems]
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```
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## Expected Output Format
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[Optional format specifications]
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## Delivers Structured Output?
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[Yes/No indicator]
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```
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## Usage
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### For AI Systems
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Use the prompts in the `/prompts/md/` or `/prompts/json/` folders as system prompts for text transformation tasks.
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### Updating Indexes
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To update both the JSON and Markdown indexes as the library grows:
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```bash
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python3 update_indexes.py
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```
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This script:
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1. Fixes any duplicated names in source JSON files
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2. Consolidates all JSON prompt files into `prompts.json`
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3. Generates a markdown index (`index.md`) from the consolidated JSON
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## Categories
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The library includes prompts for:
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- **Business Communication** - Professional emails, meeting minutes, proposals
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- **Documentation** - Technical docs, process documentation, README files
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- **Content Creation** - Blog outlines, social media posts, newsletters
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- **Task Management** - To-do lists, project plans, status updates
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- **Format Conversion** - JSON output, HTML formatting, structured data
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- **Style Transformation** - Formal/casual tone, clarity improvements
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- **Specialized Formats** - RFPs, cover letters, testimonials
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## Automation
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This repository uses automated workflows to:
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- Process prompts from `/to-integrate/` folder
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- Generate standardized markdown format
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- Create JSON equivalents
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- Maintain consistent naming and structure
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## Contributing
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1. Add new prompts to the `/to-integrate/` folder
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2. Follow the standard markdown format
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3. Ensure prompts are practical and non-novelty focused
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4. Automation will handle integration into the main collection
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## File Naming Convention
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Prompts are automatically named with the pattern:
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`[descriptive_name]_[date].md`
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Example: `business_email_270525.md`
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