Search for Israel Rail train schedules using the railil CLI. Find routes between stations with fuzzy search, filter by date/time, and output in various formats (JSON, Markdown, Table).
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install skill-raililOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install skill-raililβ 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/skill-railil/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Railil can do for your AI workflow
For israel rail train directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,677+ developers worldwide
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 Railil
Help me get started with Railil
Explains what Railil does, walks through the setup, and runs a quick demo based on your current project
Use Railil to search for Israel Rail train schedules using the railil CLI
Invokes Railil with the right parameters and returns the result directly in the conversation
What can I do with Railil in my developer & devops workflow?
Lists the top use cases for Railil, with example commands for each scenario
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Railil extends your AI assistant with the ability to search for Israel Rail train schedules using the railil CLI. Find routes between stations with fuzzy search, filter by date/time, and output in various formats (JSON, Markdown, Table). 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 Railil as its underlying capability.
Railil 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 Railil 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.
To install Railil, copy the skill folder to `~/.claude/skills/skill-railil/` for use across all your projects, or `.claude/skills/skill-railil/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/skill-railil` or just describe your goal and the AI will pick it up automatically.
Railil has been installed 1,677 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/skill-railil/ for personal use (all projects), or .claude/skills/skill-railil/ for project-specific use. Restart your AI client, then invoke with /skill-railil or let the AI discover it automatically.
Railil supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Railil is free to install. Check the repository for licensing information.
Search for Israel Rail train schedules using the railil CLI. Find routes between stations with fuzzy search, filter by date/time, and output in various formats (JSON, Markdown, Table).
Automate my developer & devops tasks using Railil
Identifies repetitive steps in your workflow and sets up Railil to handle them automatically
Railil is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.