Agent skill · writing content · aradotso
worldmonitor-intelligence-dashboard
Real-time global intelligence dashboard with AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking
Why this skill is useful
Provides integration patterns and domain-specific knowledge for geopolitical monitoring and news aggregation that the AI wouldn't reliably generate on its own.
What it needs
Requires npm installed locally. About 8k tokens when loaded. Last updated 2026-07-09. 70 stars on the source repository.
What this skill does
World Monitor Intelligence Dashboard Skill by ara.so — Daily 2026 Skills collection. World Monitor is a real-time global intelligence dashboard combining AI-powered news aggregation (435+ feeds, 15 categories), dual map engine (3D globe + WebGL flat map with 45 data layers), geopolitical risk scoring, finance radar (92 exchanges), and cross-stream signal correlation — all from a single TypeScript/Vite codebase deployable as web, PWA, or native desktop (Tauri 2). --- Installation & Quick Start No environment variables required for basic operation. All features work with local Ollama by default. Site Variants Production Build --- Project Structure --- Environment Variables Create a .env.local file (never commit secrets): --- Core Concepts Feed Categories World Monitor aggregates 435+ feeds across 15 categories: Country Intelligence Index Composite risk scoring across 12 signal categories per country: AI Synthesis Pipeline Cross-Stream Signal Correlation --- Map Engine Integration 3D Globe (globe.gl) WebGL Flat Map (deck.gl + MapLibre GL) --- Finance Radar --- Language & RTL Support World Monitor supports 21 languages with native-language feeds: --- Protocol Buffers (API Contracts) --- Vercel Edge Function Pattern --- Desktop App (Tauri 2) --- Docker / Self-Hosting Vercel Deployment --- Common Patterns Custom Feed Integration Custom Map Layer Site Variant Configuration --- Troubleshooting Problem Solution --------- ---------- Map not rendering Check VITEMAPTILERAPIKEY or use free CartoBasemap style AI synthesis slow/failing Ensure Ollama is running: ollama serve && ollama pull llama3.2 Feeds returning 429 errors Enable Redis caching via UPSTASHREDISREST env vars Desktop app won't build Ensure Rust + cargo install tauri-cli + platform build tools RTL layout broken Confirm lang attribute set on <html> by setLanguage() TypeScript errors on build Run npm run typecheck — proto generated files must exist Redis connection refused Check REDISURL or use Upstash REST API instead …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/worldmonitor-intelligence-dashboard