Use Case
TrainClaw isn't just for solo use — teams can share skills and build consistent AI workflows across the organization. 3-in-1 China 12306 query — tickets, route stops, transfer plans. Zero login. Filter High-speed rail/EMU/Train by type, time, duration. Pure Python, text/json/csv output. Train tickets/... This guide covers how to deploy TrainClaw for your team, standardize prompts, and create shared workflows that everyone can use.
Install TrainClaw in your project directory: .claude/skills/trainclaw/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use TrainClaw 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 TrainClaw
How can my team use TrainClaw together?
Set up TrainClaw for our project so everyone can use it
Create a shared workflow using TrainClaw for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install trainclawOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install trainclaw⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
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/trainclaw/💡Extract and place the folder at the path above, then restart your agent.