Agent skill · data analytics · rkiding
alphaear-deepear-lite
Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
Why this skill is useful
Adds a script to fetch real-time financial signals and insights that the AI wouldn't reliably generate on its own.
What it needs
Requires loguru, requests installed locally. About 1k tokens when loaded. Last updated 2026-03-29. 2,757 stars on the source repository.
What this skill does
DeepEar Lite Skill Overview Fetch high-frequency financial signals, including titles, summaries, confidence scores, and reasoning directly from the DeepEar Lite platform's real-time data source. Capabilities 1. Fetch Latest Financial Signals Use scripts/deepearlite.py via DeepEarLiteTools. Fetch Signals: fetchlatestsignals() Retrieves all latest signals from https://deepear.vercel.app/latest.json. Returns a formatted report of signal titles, sentiment/confidence metrics, summaries, and source links. Dependencies requests, loguru No local database required for this skill. Testing Run the test script to verify the connection and data fetching:
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills rkiding/alphaear-deepear-lite