AlphaEar Search Skill

## Overview

25 stars

Best use case

AlphaEar Search Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

## Overview

Teams using AlphaEar Search Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/alphaear-search/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/RKiding/Awesome-finance-skills/alphaear-search/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/alphaear-search/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How AlphaEar Search Skill Compares

Feature / AgentAlphaEar Search SkillStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

## Overview

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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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