Worldmonitor Intelligence Dashboard
Real-time global intelligence dashboard with AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking
- Skill ID
- reason-machines/trending-skills/worldmonitor-intelligence-dashboard
- Publisher
- reason-machines
- Repository
- trending-skills
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
reason-machines/trending-skills/worldmonitor-intelligence-dashboardInstalls these files- SKILL.md
What this skill tells the agent
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
git clone https://github.com/koala73/worldmonitor.git
cd worldmonitor
npm install
npm run dev # Opens http://localhost:5173No environment variables required for basic operation. All features work with local Ollama by default.
Site Variants
npm run dev:tech # tech.worldmonitor.app variant
npm run dev:finance # finance.worldmonitor.app variant
npm run dev:commodity # commodity.worldmonitor.app variant
npm run dev:happy # happy.worldmonitor.app variantProduction Build
npm run typecheck # TypeScript validation
npm run build:full # Build all variants
npm run build # Build default (world) variantProject Structure
worldmonitor/
├── src/
│ ├── components/ # UI components (TypeScript)
│ ├── feeds/ # 435+ RSS/API feed definitions
│ ├── layers/ # Map data layers (deck.gl)
│ ├── ai/ # AI synthesis pipeline
│ ├── signals/ # Cross-stream correlation engine
│ ├── finance/ # Market data (92 exchanges)
│ ├── variants/ # Site variant configs (world/tech/finance/commodity/happy)
│ └── protos/ # Protocol Buffer definitions (92 protos, 22 services)
├── api/ # Vercel Edge Functions (60+)
├── src-tauri/ # Tauri 2 desktop app (Rust)
├── docs/ # Documentation source
└── vite.config.tsEnvironment Variables
Create a .env.local file (never commit secrets):
# AI Providers (all optional — Ollama works with no keys)
VITE_OLLAMA_BASE_URL=http://localhost:11434 # Local Ollama instance
VITE_GROQ_API_KEY=$GROQ_API_KEY # Groq cloud inference
VITE_OPENROUTER_API_KEY=$OPENROUTER_API_KEY # OpenRouter multi-model
# Caching (optional, improves performance)
UPSTASH_REDIS_REST_URL=$UPSTASH_REDIS_REST_URL
UPSTASH_REDIS_REST_TOKEN=$UPSTASH_REDIS_REST_TOKEN
# Map tiles (optional, MapLibre GL)
VITE_MAPTILER_API_KEY=$MAPTILER_API_KEY
# Variant selection
VITE_SITE_VARIANT=world # world | tech | finance | commodity | happyCore Concepts
Feed Categories
World Monitor aggregates 435+ feeds across 15 categories:
// src/feeds/categories.ts pattern
import type { FeedCategory } from './types';
const FEED_CATEGORIES: FeedCategory[] = [
'geopolitics',
'military',
'economics',
'technology',
'climate',
'energy',
'health',
'finance',
'commodities',
'infrastructure',
'cyber',
'space',
'diplomacy',
'disasters',
'society',
];Country Intelligence Index
Composite risk scoring across 12 signal categories per country:
// Example: accessing country risk scores
import { CountryIntelligence } from './signals/country-intelligence';
const intel = new CountryIntelligence();
// Get composite risk score for a country
const score = await intel.getCountryScore('UA');
console.log(score);
// {
// composite: 0.82,
// signals: {
// military: 0.91,
// economic: 0.74,
// political: 0.88,
// humanitarian: 0.79,
// ...
// },
// trend: 'escalating',
// updatedAt: '2026-03-17T08:00:00Z'
// }
// Subscribe to real-time updates
intel.subscribe('UA', (update) => {
console.log('Risk update:', update);
});AI Synthesis Pipeline
// src/ai/synthesize.ts pattern
import { AISynthesizer } from './ai/synthesizer';
const synth = new AISynthesizer({
provider: 'ollama', // 'ollama' | 'groq' | 'openrouter'
model: 'llama3.2', // any Ollama-compatible model
baseUrl: process.env.VITE_OLLAMA_BASE_URL,
});
// Synthesize a news brief from multiple feed items
const brief = await synth.synthesize({
items: feedItems, // FeedItem[]
category: 'geopolitics',
region: 'Europe',
maxTokens: 500,
language: 'en',
});
console.log(brief.summary); // AI-generated synthesis
console.log(brief.signals); // Extracted signals array
console.log(brief.confidence); // 0-1 confidence scoreCross-Stream Signal Correlation
// src/signals/correlator.ts pattern
import { SignalCorrelator } from './signals/correlator';
const correlator = new SignalCorrelator();
// Detect convergence across military, economic, disaster signals
const convergence = await correlator.detectConvergence({
streams: ['military', 'economic', 'disaster', 'escalation'],
timeWindow: '6h',
threshold: 0.7,
region: 'Middle East',
});
if (convergence.detected) {
console.log('Convergence signals:', convergence.signals);
console.log('Escalation probability:', convergence.probability);
console.log('Contributing events:', convergence.events);
}Map Engine Integration
3D Globe (globe.gl)
// src/components/globe/GlobeView.ts
import Globe from 'globe.gl';
import { getCountryRiskData } from '../signals/country-intelligence';
export function initGlobe(container: HTMLElement) {
const globe = Globe()(container)
.globeImageUrl('//unpkg.com/three-globe/example/img/earth-dark.jpg')
.backgroundImageUrl('//unpkg.com/three-globe/example/img/night-sky.png');
// Load country risk layer
const riskData = await getCountryRiskData();
globe
.polygonsData(riskData.features)
.polygonCapColor(feat => riskToColor(feat.properties.riskScore))
.polygonSideColor(() => 'rgba(0, 100, 0, 0.15)')
.polygonLabel(({ properties: d }) =>
`<b>${d.name}</b><br/>Risk: ${(d.riskScore * 100).toFixed(0)}%`
);
return globe;
}
function riskToColor(score: number): string {
if (score > 0.8) return 'rgba(220, 38, 38, 0.8)'; // critical
if (score > 0.6) return 'rgba(234, 88, 12, 0.7)'; // high
if (score > 0.4) return 'rgba(202, 138, 4, 0.6)'; // elevated
if (score > 0.2) return 'rgba(22, 163, 74, 0.5)'; // low
return 'rgba(15, 118, 110, 0.4)'; // minimal
}WebGL Flat Map (deck.gl + MapLibre GL)
// src/components/map/DeckMap.ts
import { Deck } from '@deck.gl/core';
import { ScatterplotLayer, ArcLayer, HeatmapLayer } from '@deck.gl/layers';
import maplibregl from 'maplibre-gl';
export function initDeckMap(container: HTMLElement) {
const map = new maplibregl.Map({
container,
style: 'https://basemaps.cartocdn.com/gl/dark-matter-gl-style/style.json',
center: [0, 20],
zoom: 2,
});
const deck = new Deck({
canvas: 'deck-canvas',
initialViewState: { longitude: 0, latitude: 20, zoom: 2 },
controller: true,
layers: [
// Event scatter layer
new ScatterplotLayer({
id: 'events',
data: getActiveEvents(),
getPosition: d => [d.lng, d.lat],
getRadius: d => d.severity * 50000,
getFillColor: d => severityToRGBA(d.severity),
pickable: true,
}),
// Supply chain arc layer
new ArcLayer({
id: 'supply-chains',
data: getSupplyChainData(),
getSourcePosition: d => d.source,
getTargetPosition: d => d.target,
getSourceColor: [0, 128, 200],
getTargetColor: [200, 0, 80],
getWidth: 2,
}),
],
});
return { map, deck };
}Finance Radar
// src/finance/radar.ts pattern
import { FinanceRadar } from './finance/radar';
const radar = new FinanceRadar();
// Get market composite (7-signal)
const composite = await radar.getMarketComposite();
console.log(composite);
// {
// score: 0.62,More from reason-machines
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