Use Case
Trading Coach isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. π AI Trading Review Coach β Turn your brokerage CSV into actionable insights for improvement! Automatic FIFO matching positions, 8-dimensional quality score (entry/exit/trend/risk...), 10-dimensional AI insight. Supports mainstream brokerages such as Futu (Chinese/English), Tiger, CITIC, and Huatai. Trigger conditions: Users provide transaction CSV, request analysis of transaction performance, evaluate transaction quality, generate review report, Calculate profit and loss statistics, identify trading pattern problems, "Help me review the transaction", "Analyze my transaction". This guide covers how to deploy Trading Coach for your team, standardize prompts, and create shared workflows that everyone can use.
Install Trading Coach in your project directory: .claude/skills/trading-coach/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Trading Coach 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 Trading Coach
How can my team use Trading Coach together?
Set up Trading Coach for our project so everyone can use it
Create a shared workflow using Trading Coach for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install trading-coachOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install trading-coachβ 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/trading-coach/π‘Extract and place the folder at the path above, then restart your agent.