reason-machines/trending-skills1 file

Worldmonitor Intelligence Dashboard

Real-time global intelligence dashboard with AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking

Specification
Skill ID
reason-machines/trending-skills/worldmonitor-intelligence-dashboard
Publisher
reason-machines
Repository
trending-skills
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

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:5173

No 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 variant

Production Build

npm run typecheck        # TypeScript validation
npm run build:full       # Build all variants
npm run build            # Build default (world) variant

Project 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.ts

Environment 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 | happy

Core 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 score

Cross-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,

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