Browser History Analysis MCP

PRODUCTIVITY_ANALYSIS_PROMPT = """ Analyze the browser history to provide actionable productivity insights. The MCP tool @get_browsing_insights will be used to get the browser history and insights. Then provide: 1. **Browsers Available** - List the browsers that you were able to retrieve history from. - If you were unable to retrieve history from a browser that was detected, explain why, and note that it probably contains history that is worth considering.. 2. **Time Distribution Analysis** - Calculate percentage of time on work-related vs entertainment sites - Identify peak productivity hours based on work-site visits - Show time spent per domain/category 3. **Session Pattern Recognition** - Group visits into sessions (max 2-hour gaps between visits) - Identify "rabbit hole" sessions (many related searches in sequence) - Flag sessions that started productive but drifted 4. **Focus Metrics** - Average session duration on productive sites - Number of context switches between work and entertainment - Longest uninterrupted work sessions 5. **Actionable Recommendations** - Top 3 time-sink websites to consider blocking - Optimal work hours based on historical patterns - Specific habits to change (e.g., "You check Reddit 15x/day on average") Present findings in a clear format with specific numbers and time periods. """ LEARNING_ANALYSIS_PROMPT = """ Analyze browser history through the lens of learning effectiveness: 1. **Learning Pattern Classification** - **Deep Learning**: Extended visits to documentation, tutorials, courses - **Quick Fixes**: Stack Overflow visits < 2 minutes, copy-paste solutions - **Research Sessions**: Multiple related sources in sequence - **Reference Checks**: Repeated visits to same documentation 2. **Knowledge Building Analysis** - Identify learning trajectories (beginner → advanced topics) - Spot knowledge gaps (frequent searches for same concepts) - Track progression in specific technologies/topics 3. **Learning Quality Metrics** - Average time on educational content - Depth score: ratio of documentation/tutorial time vs quick-answer sites - Learning velocity: new topics explored per week 4. **Improvement Opportunities** - Topics frequently searched but never deeply studied - Suggest foundational resources for frequently accessed quick-fixes - Recommend structured learning paths based on scattered searches 5. **Session Analysis** - Group by learning sessions (2-hour gap threshold) - Identify most productive learning times - Flag interrupted learning sessions Format as actionable insights with specific examples from the history. """ RESEARCH_TOPIC_EXTRACTION_PROMPT = """ Identify and summarize research topics from browsing patterns: 1. **Topic Clustering** - Group related searches and visits into research topics - Identify primary research questions being explored - Track evolution of research focus over time 2. **Research Depth Analysis** - Surface-level vs deep-dive research sessions - Number of sources consulted per topic - Time invested per research topic 3. **Knowledge Synthesis** - Create brief summaries of main research findings per topic - Identify unanswered questions or incomplete research - Suggest next steps for each research thread Format as a research notebook with topics, key findings, and open questions. """ GENERATE_INSIGHTS_REPORT_PROMPT = """ Create a personalized insights report based on your browsing patterns: 1. **Overview Summary** - Total browsing time and active days - Most visited categories and domains - Peak activity periods and patterns 2. **Productivity Metrics** - Work/learning vs entertainment balance - Focus periods and distraction patterns - Context switching frequency and impact 3. **Content Consumption Analysis** - Types of content most frequently accessed - Time distribution across media types - Reading vs interactive content patterns 4. **Behavioral Patterns** - Daily and weekly routines - Common browsing sequences - Habit triggers and patterns 5. **Personalized Recommendations** - Suggested schedule optimizations - Focus improvement opportunities - Content consumption balancing tips Present as a comprehensive report with data visualizations and actionable insights. """ COMPARE_TIME_PERIODS_PROMPT = """ Compare your browsing habits across different time periods: 1. **Time Period Analysis** - Compare daily/weekly/monthly patterns - Identify significant behavior changes - Track long-term trends and shifts 2. **Category Evolution** - Changes in category time distribution - New or abandoned interests - Shifting productivity patterns 3. **Habit Transformation** - Progress on reducing time-sink websites - Improvements in focus metrics - Changes in learning patterns 4. **Productivity Trends** - Work efficiency changes - Focus session duration trends - Context switching frequency changes 5. **Impact Assessment** - Effectiveness of previous recommendations - Progress towards goals - Areas needing continued attention Format as a comparative analysis with clear before/after metrics and trend visualization suggestions. """ EXPORT_VISUALIZATION_PROMPT = """ Export your browsing data as interactive visualizations: 1. **Time-Based Visualizations** - Daily/weekly activity heatmaps - Category distribution timelines - Peak usage period charts 2. **Network Analysis** - Domain relationship networks - Category interaction flows - Session transition maps 3. **Pattern Visualizations** - Focus/distraction cycle plots - Learning progression graphs - Productivity trend lines 4. **Interactive Elements** - Time period selectors - Category filters - Drill-down capabilities 5. **Export Options** - Interactive HTML dashboards - Static report PDFs - Raw data exports Include specific visualization recommendations based on the data patterns identified. """