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.
npx skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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/deepear_lite.py` via `DeepEarLiteTools`. - **Fetch Signals**: `fetch_latest_signals()` - Retrieves all latest signals from `https://d
What does the alphaear-deepear-lite skill do?
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.
How do I install it?
Run `npx skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From RKiding/Awesome-finance-skills, a repository with 2,750 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.