Use Case
Financial Search Engine is a powerful AI agent skill that extends your assistant with new capabilities. Based on the Oriental Fortune Database, it supports natural language search for the latest announcements, research reports, financial news, exchange dynamics, official policies, etc. across the entire network, covering global market targets, and can be used in scenarios such as hot spot capture, public opinion monitoring, quick glances at research reports, intensive reading of announcements, and investment decisions. Natural language search for financial information, covering authoritativ... This guide walks you through installing Financial Search Engine, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Financial Search Engine: npx clawhub@latest --dir ~/.claude/skills install mx-finance-search
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to finance & investment to trigger Financial Search Engine
Review the output and refine your prompt for better results
Combine Financial Search Engine with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Financial Search Engine
Help me get started with Financial Search Engine
What can Financial Search Engine do for my finance & investment workflow?
Show me an example of using Financial Search Engine
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install mx-finance-searchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install mx-finance-searchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/mx-finance-search/π‘Extract and place the folder at the path above, then restart your agent.