Summary
A unified search tool that handles both web finance queries and local document retrieval through a single interface. You get three web engines (Jina, DuckDuckGo, Baidu) plus a local RAG system that searches a daily_news database. The smart caching is the interesting bit: it includes an agentic relevance prompt that lets Claude check the cache and decide if previous results are still useful before firing off new searches. Use aggregate_search when you want results from multiple engines at once. Honestly most useful if you're building a finance research assistant that needs to pull from both fresh web data and your own document store without managing two separate search systems.
Install to Claude Code
npx -y skills add rkiding/awesome-finance-skills --skill alphaear-search --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Agent, run crypto. Access onchain data & trade routes via 1inch.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
