Skill by ara.so — Daily 2026 Skills collection.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionworldmonitor-intelligence-dashboardExecute the skills CLI command in your project's root directory to begin installation:
Fetches worldmonitor-intelligence-dashboard from aradotso/trending-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate worldmonitor-intelligence-dashboard. Access via /worldmonitor-intelligence-dashboard in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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).
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.
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
npm run typecheck # TypeScript validation
npm run build:full # Build all variants
npm run build # Build default (world) variant
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
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
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',
];
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);
});
// 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
// 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);
}
// 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 getCountryRiskDataMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
worldmonitor-intelligence-dashboard has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: worldmonitor-intelligence-dashboard is the kind of skill you can hand to a new teammate without a long onboarding doc.
worldmonitor-intelligence-dashboard reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for worldmonitor-intelligence-dashboard matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in worldmonitor-intelligence-dashboard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added worldmonitor-intelligence-dashboard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in worldmonitor-intelligence-dashboard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: worldmonitor-intelligence-dashboard is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added worldmonitor-intelligence-dashboard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend worldmonitor-intelligence-dashboard for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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