crucix-intelligence-dashboard

aradotso/trending-skills · updated Apr 8, 2026

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$npx skills add https://github.com/aradotso/trending-skills --skill crucix-intelligence-dashboard
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Skill by ara.so — Daily 2026 Skills collection.

skill.md

Crucix Intelligence Dashboard

Skill by ara.so — Daily 2026 Skills collection.

Crucix is a self-hosted intelligence terminal that pulls from 27 open-source data feeds (satellite fire detection, flight tracking, radiation monitoring, conflict data, market prices, maritime AIS, economic indicators, and more) every 15 minutes, renders everything on a WebGL globe dashboard, and optionally pushes alerts to Telegram/Discord with LLM-enhanced analysis.


Installation

git clone https://github.com/calesthio/Crucix.git
cd crucix
npm install          # installs Express (only hard dependency)
cp .env.example .env # then edit .env with your API keys
npm run dev          # dashboard at http://localhost:3117

Docker:

cp .env.example .env
docker compose up -d
# sweep data persists in ./runs/ via volume mount

Requirements: Node.js 22+ (uses native fetch, top-level await, ESM modules)

If npm run dev exits silently:

node --trace-warnings server.mjs   # bypasses npm script runner (useful on Windows PowerShell)
node diag.mjs                       # diagnoses Node version, module imports, port availability

Environment Configuration (.env)

# ── Core Free APIs (highly recommended) ──────────────────────────────────────
FRED_API_KEY=           # Federal Reserve economic data — fred.stlouisfed.org
FIRMS_MAP_KEY=          # NASA satellite fire detection — firms.modaps.eosdis.nasa.gov
EIA_API_KEY=            # US Energy Info Admin — eia.gov/opendata/register.php

# ── Optional Data Sources ─────────────────────────────────────────────────────
ACLED_EMAIL=            # Armed conflict data — acleddata.com/register
ACLED_PASSWORD=
AISSTREAM_API_KEY=      # Maritime vessel tracking — aisstream.io (free)
ADSB_API_KEY=           # Unfiltered flight tracking — RapidAPI (~$10/mo)

# ── LLM Provider (pick one) ───────────────────────────────────────────────────
LLM_PROVIDER=           # anthropic | openai | gemini | codex
LLM_API_KEY=            # not needed for codex (uses ~/.codex/auth.json)

# ── Telegram Bot ─────────────────────────────────────────────────────────────
TELEGRAM_BOT_TOKEN=     # from @BotFather
TELEGRAM_CHAT_ID=       # from @userinfobot
TELEGRAM_CHANNELS=      # optional: extra channel IDs beyond 17 built-in
TELEGRAM_POLL_INTERVAL= # ms between command polls, default 5000

# ── Discord Bot ───────────────────────────────────────────────────────────────
DISCORD_BOT_TOKEN=      # Discord Developer Portal → Bot → Token
DISCORD_CHANNEL_ID=     # right-click channel → Copy Channel ID
DISCORD_GUILD_ID=       # optional: instant slash command registration
DISCORD_WEBHOOK_URL=    # optional: alert-only mode, no discord.js needed

# ── Trading (optional) ────────────────────────────────────────────────────────
ALPACA_API_KEY=
ALPACA_SECRET_KEY=

Key Commands

Command Description
npm run dev Start dashboard with auto-reload
node server.mjs Start directly (bypasses npm script runner)
node diag.mjs Diagnose setup issues
docker compose up -d Run in background with Docker
npx @openai/codex login Authenticate Codex LLM via ChatGPT subscription

Telegram Bot Commands

Once TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID are set, the bot responds to:

Command What It Does
/status System health, last sweep time, source/LLM status
/sweep Trigger a manual intelligence sweep immediately
/brief Compact text summary: direction, key metrics, top OSINT
/portfolio Portfolio status (requires Alpaca keys)
/alerts Recent alert history with tier labels
/mute / /mute 2h Silence alerts for 1h or custom duration
/unmute Resume alerts
/help List all commands

Discord Bot Commands

Install discord.js for full bot mode; otherwise Crucix auto-falls back to webhook-only:

npm install discord.js   # optional: enables slash commands + rich embeds

Slash commands available: /status, /sweep, /brief, /portfolio

Alert embeds are color-coded: 🔴 red = FLASH, 🟡 yellow = PRIORITY, 🔵 blue = ROUTINE.

Webhook-only mode (no discord.js, no slash commands):

DISCORD_WEBHOOK_URL=https://discord.com/api/webhooks/YOUR_ID/YOUR_TOKEN

LLM Provider Setup

Anthropic Claude

LLM_PROVIDER=anthropic
LLM_API_KEY=$ANTHROPIC_API_KEY

OpenAI

LLM_PROVIDER=openai
LLM_API_KEY=$OPENAI_API_KEY

Google Gemini

LLM_PROVIDER=gemini
LLM_API_KEY=$GEMINI_API_KEY

OpenAI Codex (ChatGPT subscription — no API key needed)

npx @openai/codex login   # authenticate once
LLM_PROVIDER=codex
# LLM_API_KEY not required

LLM failures are non-fatal — Crucix automatically falls back to rule-based alert evaluation without crashing the sweep cycle.


Architecture & Data Flow

Each 15-minute sweep cycle:

  1. Parallel fetch — all 27 sources queried simultaneously (~30–60s)
  2. Synthesis — raw data normalized into dashboard format
  3. Delta computation — what changed, escalated, or de-escalated vs. previous run
  4. LLM analysis — 5–8 trade ideas generated (or rule-based fallback)
  5. Alert evaluation — FLASH / PRIORITY / ROUTINE tiering with semantic dedup
  6. Push — SSE update to all connected browsers + Telegram/Discord if configured
  7. Persistence — sweep written to ./runs/ directory

Dashboard Features

  • 3D WebGL globe (Globe.gl) with atmosphere, star field, rotation + flat map toggle
  • 9 marker types: fires, aircraft, radiation, maritime chokepoints, SDR receivers, OSINT events, health alerts, geolocated news, conflict events
  • Animated 3D flight arcs between air traffic hotspots
  • Region filters: World, Americas, Europe, Middle East, Asia Pacific, Africa
  • Live markets: indexes, crypto, energy, commodities (Yahoo Finance, no key needed)
  • Risk gauges: VIX, high-yield spread, supply chain pressure index
  • OSINT feed: 17 built-in Telegram intelligence channels
  • Sweep Delta panel: live diff of what changed this cycle
  • Nuclear watch: Safecast + EPA RadNet radiation readings
  • Space watch: CelesTrak satellite tracking — ISS, Starlink, military constellations

Common Patterns

Minimal Setup (no API keys)

# Works out of the box — sources without keys still populate:
# Yahoo Finance markets, CelesTrak satellites, GDELT news, RSS feeds,
# OpenSky flight tracking (public tier), Safecast radiation
npm run dev

Maximum Free Coverage

# Register all three free keys (~3 minutes total):
FRED_API_KEY=       # fred.stlouisfed.org — 60 sec signup
FIRMS_MAP_KEY=      # firms.modaps.eosdis.nasa.gov — 60 sec signup
EIA_API_KEY=        # eia.gov/opendata/register.php — 60 sec signup

Telegram Alerts Only (no LLM)

TELEGRAM_BOT_TOKEN=your_token_from_botfather
TELEGRAM_CHAT_ID=your_chat_id_from_userinfobot
# LLM_PROVIDER intentionally omitted — rule-based alerts still fire

Full Stack with LLM + Both Bots

FRED_API_KEY=...
FIRMS_MAP_KEY=...
EIA_API_KEY=...
LLM_PROVIDER=anthropic
LLM_API_KEY=...
TELEGRAM_BOT_TOKEN=...
TELEGRAM_CHAT_ID=...
DISCORD_BOT_TOKEN=...
DISCORD_CHANNEL_ID=...
DISCORD_GUILD_ID=...   # for instant slash command registration

Adding Extra Telegram OSINT Channels

# Comma-separated channel IDs beyond the 17 built-in channels
TELEGRAM_CHANNELS=-1001234567890,-1009876543210

Troubleshooting

Dashboard empty after startup: Normal — the first sweep takes 30–60 seconds to query all 27 sources. Wait for it to complete before expecting data.

npm run dev exits silently (especially Windows PowerShell):

node --trace-warnings server.mjs
# or run the diagnostic tool:
node diag.mjs

Port already in use:

# Default port is 3117 — check if something else is using it:
lsof -i :3117        # macOS/Linux
netstat -ano | findstr :3117   # Windows

Telegram bot not receiving commands:

  • Verify TELEGRAM_BOT_TOKEN and TELEGRAM_CHAT_ID are both set
  • Confirm the chat ID is your personal chat, not a group (use @userinfobot)
  • Default poll interval is 5000ms — set TELEGRAM_POLL_INTERVAL=2000 for faster response

Discord slash commands not appearing:

  • Set DISCORD_GUILD_ID for instant registration (vs. up to 1 hour for global)
  • Ensure the bot invite URL includes both bot and applications.commands scopes
  • Check Message Content Intent is enabled in the Developer Portal

LLM errors crashing sweeps: They won't — LLM failures are caught and the sweep continues with rule-based fallback. Check logs for the specific provider error (invalid key, rate limit, etc.).

ACLED conflict data missing: ACLED uses OAuth2 with email/password — both ACLED_EMAIL and ACLED_PASSWORD must be set together.

Sweep data persistence: All runs are saved to ./runs/. In Docker, this is volume-mounted so data survives container restarts.

how to use crucix-intelligence-dashboard

How to use crucix-intelligence-dashboard on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add crucix-intelligence-dashboard
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

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

The skills CLI fetches crucix-intelligence-dashboard from GitHub repository aradotso/trending-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/crucix-intelligence-dashboard

Reload or restart Cursor to activate crucix-intelligence-dashboard. Access the skill through slash commands (e.g., /crucix-intelligence-dashboard) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ 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.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.836 reviews
  • Aanya Dixit· Dec 20, 2024

    I recommend crucix-intelligence-dashboard for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Dec 4, 2024

    Useful defaults in crucix-intelligence-dashboard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Mei Mehta· Dec 4, 2024

    crucix-intelligence-dashboard is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chaitanya Patil· Nov 23, 2024

    crucix-intelligence-dashboard is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Layla Khanna· Nov 23, 2024

    Useful defaults in crucix-intelligence-dashboard — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Aarav Perez· Nov 11, 2024

    Keeps context tight: crucix-intelligence-dashboard is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Oshnikdeep· Oct 14, 2024

    Keeps context tight: crucix-intelligence-dashboard is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aarav Diallo· Oct 14, 2024

    I recommend crucix-intelligence-dashboard for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Layla Malhotra· Oct 2, 2024

    crucix-intelligence-dashboard is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Michael Thompson· Sep 25, 2024

    crucix-intelligence-dashboard has been reliable in day-to-day use. Documentation quality is above average for community skills.

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