🎯

alphaear-search

🎯Skill

from rkiding/awesome-finance-skills

What it does

Searches finance information across web engines (Jina/DDG/Baidu) and local document stores using intelligent retrieval techniques.

📦

Part of

rkiding/awesome-finance-skills(2 items)

alphaear-search

Installation

git cloneClone repository

git clone https://github.com/RKiding/Awesome-finance-skills.git

📖 Extracted from docs: rkiding/awesome-finance-skills

Need more details? View full documentation on GitHub →

2Installs

AddedFeb 4, 2026

View on GitHub Back to Skills

Skill Details

SKILL.md

Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).

Overview

# AlphaEar Search Skill

Overview

Unified search capabilities: web search (Jina/DDG/Baidu) and local RAG search.

Capabilities

1. Web Search

Use scripts/search_tools.py via SearchTools.

Search: search(query, engine, max_results)

- Engines: jina, ddg, baidu, local.

- Returns: JSON string (summary) or List[Dict] (via search_list).

Smart Cache (Agentic): If you want to avoid redundant searches, use the Search Cache Relevance Prompt in references/PROMPTS.md. Read the cache first and decide if it's usable.
Aggregate: aggregate_search(query)

- Combines results from multiple engines.

2. Local RAG

Use scripts/hybrid_search.py or SearchTools with engine='local'.

Search: Searches local daily_news database.

Dependencies

duckduckgo-search, requests
scripts/database_manager.py (search cache & local news)

More from this repository1

🎯

alphaear-news🎯Skill

Retrieves real-time financial news, market trends, and prediction data from multiple sources like Weibo, Zhihu, and Polymarket.