Agent skill · data analytics · rkiding
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).
Why this skill is useful
Adds specific commands for finance web searches and local document retrieval that the AI wouldn't reliably generate on its own.
What it needs
Requires duckduckgo-search, requests installed locally. About 1k tokens when loaded. Last updated 2026-03-29. 2,757 stars on the source repository.
What this skill does
AlphaEar Search Skill Overview Unified search capabilities: web search (Jina/DDG/Baidu) and local RAG search. Capabilities 1. Web Search Use scripts/searchtools.py via SearchTools. Search: search(query, engine, maxresults) Engines: jina, ddg, baidu, local. Returns: JSON string (summary) or List[Dict] (via searchlist). 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: aggregatesearch(query) Combines results from multiple engines. 2. Local RAG Use scripts/hybridsearch.py or SearchTools with engine='local'. Search: Searches local dailynews database. Dependencies duckduckgo-search, requests scripts/databasemanager.py (search cache & local news)
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills rkiding/alphaear-search