A comprehensive suite of commands for tracking Deutsche Bahn trains
Data sourced from ClawHub. View on ClawSkills
What Bahn can do for your AI workflow
Comprehensive suite directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Bahn
Help me get started with Bahn
Explains what Bahn does, walks through the setup, and runs a quick demo based on your current project
Use Bahn to a comprehensive suite of commands for tracking Deutsche Bahn trains
Invokes Bahn with the right parameters and returns the result directly in the conversation
What can I do with Bahn in my ai agent & automation workflow?
Lists the top use cases for Bahn, with example commands for each scenario
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Bahn extends your AI assistant with the ability to a comprehensive suite of commands for tracking Deutsche Bahn trains. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Bahn as its underlying capability.
Bahn works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Bahn once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Bahn takes about two minutes. Place the skill at `~/.claude/skills/openclaw-bahn/` (personal, all projects) or `.claude/skills/openclaw-bahn/` (project-specific), then restart your AI client. From that point, typing `/openclaw-bahn` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Bahn has 288 installs and is part of the growing AI Agent & Automation skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/openclaw-bahn/ for personal use (all projects), or .claude/skills/openclaw-bahn/ for project-specific use. Restart your AI client, then invoke with /openclaw-bahn or let the AI discover it automatically.
Bahn supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Bahn is free to install. Check the repository for licensing information.
A comprehensive suite of commands for tracking Deutsche Bahn trains
Bahn is categorized under AI Agent & Automation. These skills help AI agents perform specialized tasks in this domain.
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install openclaw-bahnOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install openclaw-bahnβ 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/openclaw-bahn/π‘Extract and place the folder at the path above, then restart your agent.
Automate my ai agent & automation tasks using Bahn
Identifies repetitive steps in your workflow and sets up Bahn to handle them automatically
Backup and restore OpenClaw data. Use when user asks to create backups, set up automatic backup schedules, restore from backup, or manage backup rotation. Handles ~/.openclaw directory archiving with proper exclusions.