About this skill

Problem It Solves

When a user needs a quick view of major crypto assets, they usually have to compare prices, 24-hour changes, and separate out which headlines matter most. crypto-dashboard compresses this into one script call, making it useful as a market-briefing entry point in AI conversations.

How It Works

The skill runs the local script get_dashboard.py in a python>=3.8 environment and relies on requests for external data. It covers BTC, ETH, HYPE, ZEC, SOL, and BNB, returning the latest precise prices and 24-hour percentage changes. It also fetches news sources and filters five major bullish or bearish headlines, reducing noise from unrelated items.

Boundaries

It is intended for market lookup and news summaries, not as a trading signal or investment advice.
Result quality depends on external APIs and scraping stability.
The supported coin set is primarily BTC, ETH, HYPE, ZEC, SOL, and BNB; adding assets requires implementation changes.
It needs a runnable Python environment with network access.

Screenshots

Use Cases

Brief the team on six coin prices and 24-hour changes, then add five major headlines.
Return exact quotes for ZEC, HYPE, or BNB when a user asks for the latest price.
Prepare a morning note with six-coin changes and five bullish or bearish news items.
Inspect an unusual BTC or SOL move by checking 24-hour changes against major headlines.

Best For

Crypto market analysts who need quick access to six-coin prices, 24-hour changes, and key headlines.
Newsroom operations staff who want to compress daily market data into a publishable brief.
AI assistant engineers who need to trigger a script for market quotes and news fields.
Individual investors who want to check latest prices for BTC, ETH, SOL, and other supported coins.