Use Case
Quantitative trading knowledge isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Quantitative trading knowledge and skills. Including multi-factor stock selection, technical indicators, classic strategies (double moving average, grid trading, breakout strategy), arbitrage strategies, backtesting framework (Backtrader), risk indicators, etc. Used to answer questions related to quantitative trading, stock analysis, strategy suggestions, etc. This guide covers how to deploy Quantitative trading knowledge for your team, standardize prompts, and create shared workflows that everyone can use.
Install Quantitative trading knowledge in your project directory: .claude/skills/quant-trading/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Quantitative trading knowledge 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 Quantitative trading knowledge
How can my team use Quantitative trading knowledge together?
Set up Quantitative trading knowledge for our project so everyone can use it
Create a shared workflow using Quantitative trading knowledge for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install quant-tradingOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install quant-tradingβ 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/quant-trading/π‘Extract and place the folder at the path above, then restart your agent.