Use Case
Intelligent Stocks Screener isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Based on the Oriental Wealth Database, it supports the screening of A-Hong Kong and US stocks, funds, bonds and other assets through natural language input. It supports the screening of multiple indicators, including technical aspects, news, fundamentals and market sentiments, etc. It can be used for global asset quick screening, cross-market monitoring, investment portfolio construction, strategy backtesting and other scenarios. The returned results include data description and csv file. Natural language screener for investment... This guide covers how to deploy Intelligent Stocks Screener for your team, standardize prompts, and create shared workflows that everyone can use.
Install Intelligent Stocks Screener in your project directory: .claude/skills/mx-stocks-screener/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Intelligent Stocks Screener in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Intelligent Stocks Screener
How can my team use Intelligent Stocks Screener together?
Set up Intelligent Stocks Screener for our project so everyone can use it
Create a shared workflow using Intelligent Stocks Screener for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install mx-stocks-screenerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install mx-stocks-screenerβ 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-stocks-screener/π‘Extract and place the folder at the path above, then restart your agent.