Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
- Initial release of the skill with setup and usage guides for AI-generated trading signals. - Added scripts and instructions for querying latest signals, signals by symbol, and signals by type. - No authentication required; API is now open and accessible without a token. - Updated all API endpoint URLs from datahub-prd.fmcp.xyz to vibetrading.dev. - Included troubleshooting tips, workflow steps, and integration recommendations. - Added CHANGELOG.md, package.json, and package-lock.json for project management.
What This Skill Does
Queries AI-generated trading signals from the VibeTrading API. Signals cover whale wallet movements, news sentiment, funding rates, and technical indicators across crypto symbols like BTC, ETH, and SOL. No authentication is required.
Aggregates four distinct signal types from autonomous agents into a single API call, replacing the need to manually track whale trackers, news feeds, and funding rate dashboards separately.
When to use it
- Check BTC whale activity before placing a trade
- Monitor funding rate signals for perpetual futures positions
- Pull multi-symbol sentiment for a morning market review
- Schedule hourly signal alerts via cron for watchlist assets
- Filter ETH news sentiment over the past 24 hours
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Get the latest whale activity and news signals for BTC and ETH from the last 24 hours
- 1Call the /api/v1/signals/latest endpoint with symbols=BTC,ETH, signal_types=WHALE_ACTIVITY,NEWS_ANALYSIS, and hours=24
- 2Parse the response JSON grouping signals by symbol
- 3Extract sentiment (BULLISH/BEARISH/NEUTRAL) and markdown analysis from each signal_payload
- 4Display results grouped by symbol and signal type with timestamps
A structured summary of recent whale and news signals for BTC and ETH, each tagged with sentiment and analysis text