alphaear-search

$npx mdskill add RKiding/Awesome-finance-skills/alphaear-search

Searches finance web and local documents for relevant info.

  • Retrieves general finance info from web or local document store.
  • Uses Jina, DuckDuckGo, Baidu, and local RAG database.
  • Checks search cache first to avoid redundant queries.
  • Returns JSON summaries or lists of search results.

SKILL.md

.github/skills/alphaear-searchView on GitHub ↗
---
name: alphaear-search
description: 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).
---

# 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)

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