Skill
alphaear-logic-visuali…
Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance…
@rkidingView SkillFinance
Skill
/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.
Install
$ npx -y skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/alphaear-deepear-lite
Context preview
The summary Claude sees to decide when to auto-load this skill.
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.
SKILL.md
alphaear-deepear-lite.SKILL.mdname: alphaear-deepear-lite description: 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.
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://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:
python scripts/deepear_lite.py
Ships withawesome-finance-skills
Transform your AI agent into a Wall Street analyst in seconds. A plug-and-play skill collection that empowers LLMs with real-time news, stock data, sentiment analysis, logic visualization, and market prediction capabilities.
Get the whole plugin
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