Awesome-finance-skills alphaear-search

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).

install

source · Clone the upstream repo

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

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/RKiding/Awesome-finance-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/alphaear-search" ~/.claude/skills/rkiding-awesome-finance-skills-alphaear-search && rm -rf "$T"

manifest: skills/alphaear-search/SKILL.md

source content

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

SearchTools

with

engine='local'

Search: Searches local
```
daily_news
```
database.

Dependencies

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