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Skills/aradotso/trending-skills/worldmonitor-intelligence-dashboard
worldmonitor-intelligence-dashboard logo

worldmonitor-intelligence-dashboard

aradotso/trending-skills
1K installs40 stars
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Installation

npx skills add https://github.com/aradotso/trending-skills --skill worldmonitor-intelligence-dashboard

Summary

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

SKILL.md

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,
//   signals: {
//     volatility: 0.71,
//     momentum: 0.58,
//     sentiment: 0.65,
//     liquidity: 0.44,
//     correlation: 0.78,
//     macro: 0.61,
//     geopolitical: 0.82
//   },
//   exchanges: 92,
//   timestamp: '2026-03-17T08:00:00Z'
// }

// Watch specific exchange
const exchange = await radar.getExchange('NYSE');
const crypto = await radar.getCrypto(['BTC', 'ETH', 'SOL']);
const commodities = await radar.getCommodities(['GOLD', 'OIL', 'WHEAT']);

---

Language & RTL Support

World Monitor supports 21 languages with native-language feeds:

// src/i18n/config.ts pattern
import { setLanguage, getAvailableLanguages } from './i18n';

const languages = getAvailableLanguages();
// ['en', 'ar', 'zh', 'ru', 'fr', 'es', 'de', 'ja', 'ko', 'pt',
//  'hi', 'fa', 'tr', 'pl', 'uk', 'nl', 'sv', 'he', 'it', 'vi', 'id']

// Switch language (handles RTL automatically)
await setLanguage('ar');  // Arabic — triggers RTL layout
await setLanguage('he');  // Hebrew — triggers RTL layout
await setLanguage('fa');  // Farsi — triggers RTL layout

// Configure feed language filtering
import { FeedManager } from './feeds/manager';
const feeds = new FeedManager({ language: 'ar', includeEnglish: true });

---

Protocol Buffers (API Contracts)

// src/protos — 92 proto definitions, 22 services
// Example generated client usage:

import { IntelligenceServiceClient } from './protos/generated/intelligence_grpc_web_pb';
import { CountryRequest } from './protos/generated/intelligence_pb';

const client = new IntelligenceServiceClient(
  process.env.VITE_API_BASE_URL || 'http://localhost:8080'
);

const request = new CountryRequest();
request.setCountryCode('DE');
request.setTimeRange('24h');
request.setSignalTypes(['military', 'economic', 'political']);

client.getCountryIntelligence(request, {}, (err, response) => {
  if (err) console.error(err);
  else console.log(response.toObject());
});

---

Vercel Edge Function Pattern

// api/feeds/aggregate.ts — Edge Function example
import type { VercelRequest, VercelResponse } from '@vercel/node';
import { aggregateFeeds } from '../../src/feeds/aggregator';
import { getCachedData, setCachedData } from '../../src/cache/redis';

export const config = { runtime: 'edge' };

export default async function handler(req: VercelRequest, res: VercelResponse) {
  const { category, region, limit = '20' } = req.query as Record<string, string>;

  const cacheKey = `feeds:${category}:${region}:${limit}`;
  const cached = await getCachedData(cacheKey);
  if (cached) return res.json(cached);

  const items = await aggregateFeeds({
    categories: category ? [category] : undefined,
    region,
    limit: parseInt(limit),
  });

  await setCachedData(cacheKey, items, { ttl: 300 }); // 5 min TTL
  return res.json(items);
}

---

Desktop App (Tauri 2)

# Install Tauri CLI
cargo install tauri-cli

# Development
npm run tauri:dev

# Build native app
npm run tauri:build
# Outputs: .exe (Windows), .dmg/.app (macOS), .AppImage (Linux)
// src-tauri/src/main.rs — IPC command example
#[tauri::command]
async fn fetch_intelligence(country: String) -> Result<CountryData, String> {
    // Sidecar Node.js process handles feed aggregation
    // Tauri handles secure IPC between renderer and backend
    Ok(CountryData::default())
}

fn main() {
    tauri::Builder::default()
        .invoke_handler(tauri::generate_handler![fetch_intelligence])
        .run(tauri::generate_context!())
        .expect("error while running tauri application");
}

---

Docker / Self-Hosting

# Docker single-container
docker build -t worldmonitor .
docker run -p 3000:3000 \
  -e VITE_SITE_VARIANT=world \
  -e UPSTASH_REDIS_REST_URL=$UPSTASH_REDIS_REST_URL \
  -e UPSTASH_REDIS_REST_TOKEN=$UPSTASH_REDIS_REST_TOKEN \
  worldmonitor

# Docker Compose with Redis
docker compose up -d
# docker-compose.yml
version: '3.9'
services:
  app:
    build: .
    ports: ['3000:3000']
    environment:
      - VITE_SITE_VARIANT=world
      - REDIS_URL=redis://redis:6379
    depends_on: [redis]
  redis:
    image: redis:7-alpine
    volumes: ['redis_data:/data']
volumes:
  redis_data:

Vercel Deployment

npm i -g vercel
vercel --prod
# Set env vars in Vercel dashboard or via CLI:
vercel env add GROQ_API_KEY production
vercel env add UPSTASH_REDIS_REST_URL production
vercel env add UPSTASH_REDIS_REST_TOKEN production

---

Common Patterns

Custom Feed Integration

// Add a custom RSS feed to the aggregation pipeline
import { FeedRegistry } from './src/feeds/registry';

FeedRegistry.register({
  id: 'my-custom-feed',
  name: 'My Intelligence Source',
  url: 'https://example.com/feed.xml',
  category: 'geopolitics',
  region: 'Asia',
  language: 'en',
  weight: 0.8,           // 0-1, affects signal weighting
  refreshInterval: 300,  // seconds
  parser: 'rss2',        // 'rss2' | 'atom' | 'json'
});

Custom Map Layer

// Register a custom deck.gl layer in the 45-layer system
import { LayerRegistry } from './src/layers/registry';
import { IconLayer } from '@deck.gl/layers';

LayerRegistry.register({
  id: 'my-custom-layer',
  name: 'Custom Events',
  category: 'infrastructure',
  defaultVisible: false,
  factory: (data) => new IconLayer({
    id: 'my-custom-layer-deck',
    data,
    getPosition: d => [d.lng, d.lat],
    getIcon: d => 'marker',
    getSize: 32,
    pickable: true,
  }),
});

Site Variant Configuration

// src/variants/my-variant.ts
import type { SiteVariant } from './types';

export const myVariant: SiteVariant = {
  id: 'my-variant',
  name: 'My Monitor',
  title: 'My Custom Monitor',
  defaultCategories: ['geopolitics', 'economics', 'military'],
  defaultRegion: 'Europe',
  defaultLanguage: 'en',
  mapStyle: 'dark',
  enabledLayers: ['country-risk', 'events', 'supply-chains'],
  aiProvider: 'ollama',
  theme: {
    primary: '#0891b2',
    background: '#0f172a',
    surface: '#1e293b',
  },
};

---

Troubleshooting

ProblemSolution
Map not renderingCheck VITE_MAPTILER_API_KEY or use free CartoBasemap style
AI synthesis slow/failingEnsure Ollama is running: ollama serve && ollama pull llama3.2
Feeds returning 429 errorsEnable Redis caching via UPSTASH_REDIS_REST_* env vars
Desktop app won't buildEnsure Rust + cargo install tauri-cli + platform build tools
RTL layout brokenConfirm lang attribute set on <html> by setLanguage()
TypeScript errors on buildRun npm run typecheck — proto generated files must exist
Redis connection refusedCheck REDIS_URL or use Upstash REST API instead of TCP
npm run build:full fails mid-variantBuild individually: npm run build -- --mode finance

Ollama Setup for Local AI

# Install Ollama
curl -fsSL https://ollama.ai/install.sh | sh

# Pull recommended model
ollama pull llama3.2          # Fast, good quality
ollama pull mistral           # Alternative
ollama pull gemma2:9b         # Larger, higher quality

# Verify Ollama is accessible
curl http://localhost:11434/api/tags

Verify Installation

npm run typecheck   # Should exit 0
npm run dev         # Should open localhost:5173
# Navigate to /api/health for API status
curl http://localhost:5173/api/health

---

Resources

  • Live App: worldmonitor.app
  • Documentation: docs.worldmonitor.app
  • Architecture: docs.worldmonitor.app/architecture
  • Self-Hosting Guide: docs.worldmonitor.app/getting-started
  • Contributing: docs.worldmonitor.app/contributing
  • Security Policy: SECURITY.md
  • License: AGPL-3.0 (non-commercial); commercial license required for SaaS/rebranding

Score

0–100
63/ 100

Grade

C

Popularity15/30

1,324 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Worldmonitor Intelligence Dashboard skill score badge previewScore badge

Markdown

[![Worldmonitor Intelligence Dashboard skill](https://www.remoteopenclaw.com/skills/aradotso/trending-skills/worldmonitor-intelligence-dashboard/badges/score.svg)](https://www.remoteopenclaw.com/skills/aradotso/trending-skills/worldmonitor-intelligence-dashboard)

HTML

<a href="https://www.remoteopenclaw.com/skills/aradotso/trending-skills/worldmonitor-intelligence-dashboard"><img src="https://www.remoteopenclaw.com/skills/aradotso/trending-skills/worldmonitor-intelligence-dashboard/badges/score.svg" alt="Worldmonitor Intelligence Dashboard skill"/></a>

Worldmonitor Intelligence Dashboard FAQ

How do I install the Worldmonitor Intelligence Dashboard skill?

Run “npx skills add https://github.com/aradotso/trending-skills --skill worldmonitor-intelligence-dashboard” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Worldmonitor Intelligence Dashboard skill do?

Real-time global intelligence dashboard with AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Worldmonitor Intelligence Dashboard skill free?

Yes. Worldmonitor Intelligence Dashboard is a free, open-source skill published from aradotso/trending-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Worldmonitor Intelligence Dashboard work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Worldmonitor Intelligence Dashboard works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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vercel-react-best-practices

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Skills by category

Frontend250Git198Data154Testing120Design105Docs103Security96Automation87Backend76Devops37Productivity29Mcp23

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