SkillsAdd

rkiding/awesome-finance-skills

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.

First seen Mar 2, 2026

Installation

$ npx skills add rkiding/awesome-finance-skills --skill alphaear-deepear-lite
View on skills.sh ↗ GitHub repository ↗

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Also in this package

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npx skills add rkiding/awesome-finance-skills
alphaear-news 1.5K alphaear-stock 1.2K alphaear-sentiment 623 alphaear-predictor 564 alphaear-signal-tracker 536 alphaear-search 523 alphaear-reporter 509 alphaear-logic-visualizer 473 skill-creator 267

Browse all from rkiding/awesome-finance-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 3.0K
License LICENSE
Default branch main
Open issues 4
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,051 B
  • docs SUMMARY.md 261 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 316 installs

SKILL.md

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: 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:

python scripts/deepear_lite.py