Navigate London as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transport, costs, safety, and local insights.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install londonOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install londonβ 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/london/π‘Extract and place the folder at the path above, then restart your agent.
Category
πData & AnalyticsPlatforms
What London can do for your AI workflow
Navigate london as visitor, 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 London
Help me get started with London
Explains what London does, walks through the setup, and runs a quick demo based on your current project
Use London to navigate London as visitor, resident, tech worker, student, or entr...
Invokes London with the right parameters and returns the result directly in the conversation
What can I do with London in my data & analytics workflow?
Lists the top use cases for London, with example commands for each scenario
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London extends your AI assistant with the ability to navigate London as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transport, costs, safety, and local insights. 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 London as its underlying capability.
London 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 London 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 London, copy the skill folder to `~/.claude/skills/london/` for use across all your projects, or `.claude/skills/london/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/london` or just describe your goal and the AI will pick it up automatically.
London has 471 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. 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/london/ for personal use (all projects), or .claude/skills/london/ for project-specific use. Restart your AI client, then invoke with /london or let the AI discover it automatically.
London supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
London is free to install. Check the repository for licensing information.
Navigate London as visitor, resident, tech worker, student, or entrepreneur with neighborhoods, transport, costs, safety, and local insights.
Automate my data & analytics tasks using London
Identifies repetitive steps in your workflow and sets up London to handle them automatically
London is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.