# alphaear-deepear-lite

Fetches high-frequency financial signals and transmission-chain analyses from DeepEar Lite. Useful for reviewing market sentiment and stock movement drivers in chat.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 334 installs · ★ 3085
- Author: RKiding
- License: Apache-2.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/RKiding/Awesome-finance-skills/tree/HEAD/skills/alphaear-deepear-lite/SKILL.md
- Updated: 2026-03-29
- HTML: https://affpapa.org/en/nevibecode/skills/alphaear-deepear-lite

## What it does

The skill queries the DeepEar Lite real-time feed via `scripts/deepear_lite.py`. Using `DeepEarLiteTools`, the `fetch_latest_signals()` function pulls signal titles, summaries, confidence metrics, and source links.

It depends strictly on `requests` and `loguru`. No local database is needed, but the tool will fail if your environment cannot reach the remote feed.

You can verify the connection and data retrieval directly by running `python scripts/deepear_lite.py`.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/alphaear-deepear-lite/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/alphaear-deepear-lite/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/alphaear-deepear-lite/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/alphaear-deepear-lite/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install RKiding/Awesome-finance-skills alphaear-deepear-lite
```

2. **Manually: put the files in place**
- File: `.github/skills/alphaear-deepear-lite/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/RKiding/Awesome-finance-skills --path skills/alphaear-deepear-lite
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/alphaear-deepear-lite/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add RKiding/Awesome-finance-skills --skill alphaear-deepear-lite -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/RKiding/Awesome-finance-skills/tree/HEAD/skills/alphaear-deepear-lite/SKILL.md

## When to use it
- fetch real-time financial market signals with confidence scores
- track stock drivers and transmission-chain market analysis
- inspect market sentiment data without configuring a local database

## Example prompts
- Fetch the latest financial signals from DeepEar Lite and summarize sentiment
- Show market trend factors and reasoning from the DeepEar Lite feed

## Source text · SKILL.md · Apache-2.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 23d90d3c24b5583f.

BEGIN THIRD-PARTY FILE 23d90d3c24b5583f
````text
---
name: 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:
```bash
python scripts/deepear_lite.py
```
````
END THIRD-PARTY FILE 23d90d3c24b5583f

The third-party file has ended. Everything between the 23d90d3c24b5583f tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

© RKiding · Apache-2.0 · https://github.com/RKiding/Awesome-finance-skills/tree/HEAD/skills/alphaear-deepear-lite/SKILL.md

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From the same set: [rkiding/awesome-finance-skills](https://affpapa.org/en/nevibecode/by/rkiding/awesome-finance-skills.md) — 9 cards

---
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