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
npx skills add https://github.com/rkiding/awesome-finance-skills --skill alphaear-searchSKILL.md
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).
- Engines:
- 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_newsdatabase.
Dependencies
duckduckgo-search,requestsscripts/database_manager.py(search cache & local news)
Related skills
find-skillsvercel-labs3.6MHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.handoffmattpocock883KCompact the current conversation into a handoff document for another agent to pick up.microsoft-foundrymicrosoft618KBuild, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, agent insights, pull agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agcavemanjuliusbrussee544KUltra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".