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Alphaear Search Agent Skill

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).

16k tokens
context cost
the whole folder, loaded on every use
13
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
2747
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/RKiding/Awesome-finance-skills --skill alphaear-search

The instruction itself

6 sections, as written by the author

AlphaEar Search Skill

Overview

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

Capabilities

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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How to use it

Copy the folder

Take rkiding/alphaear-search from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.