Add prompts.md

Author: qitpydev

prompts.md

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+# 🧠 Idea
+
+People today are easily distracted while trying to focus on tasks. This constant interruption reduces productivity and attention span.
+
+---
+
+# 💡 Proposed Solution
+
+Develop a Chrome extension that helps users stay mindful and aware whenever they become distracted.
+
+---
+
+# 🔍 Solution Details
+
+## 🎯 User Input for Contextual Awareness
+
+- Upon activation, the extension prompts the user to enter a brief description of what they are focusing on.
+- This input will help determine which websites are considered “safe” vs. “distracting.”
+- If no input is given, the extension remains in **inactive** mode (does nothing).
+
+## 🧠 Distraction Detection via AI
+
+- Use OpenAI API to analyze browser activity and detect distractions.
+- Behavior data is collected locally from the user's browser session.
+
+## 🚨 Alert System with Warning Levels
+
+- Multiple warning levels: *mild*, *moderate*, and *severe*.
+- A short distraction (e.g., a quick notification check) is ignored.
+- Extended or frequent distractions trigger alerts.
+
+## 🔔 Smart Notification Handling
+
+- Do not alert for small, infrequent deviations.
+- Alert when time spent on irrelevant content surpasses a threshold.
+
+## 🖼️ User Interface
+
+- UI should be sleek, intuitive, and non-intrusive.
+- Designed to enhance focus without being a distraction itself.
+
+## ⚙️ Settings Page
+
+- Input field for OpenAI API key.
+- Configurable options:
+  - Distraction threshold
+  - Alert type/style
+  - Whitelisted websites
+
+---
+
+# ⚙️ Technical Requirements
+
+## 🔄 CI/CD Integration
+
+- Set up CI/CD using GitHub Actions or similar tools.
+- Use existing GitHub Action templates where applicable.
+
+## 🧱 Code Quality
+
+- Follow best practices for clean, modular, maintainable code.
+- Use proper code architecture and folder structure.
+
+## 🧩 Development Notes
+
+- Continuously suggest improvements as you develop.
+- Propose feature enhancements or UX ideas.
+- Flag any possible optimizations or better alternatives.
+
+---
+
+# 🧭 Future Ideas (Optional)
+
+- Analytics dashboard to review distraction patterns
+- Adaptive AI model that learns from user focus behavior
+- Pomodoro mode with auto-adjusting alerts