Ask the user for their Google saved places list, look up each place with goplaces, and recommend the single best one to visit today based on their preference...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install goplaces-togoOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install goplaces-togoβ 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/goplaces-togo/π‘Extract and place the folder at the path above, then restart your agent.
Category
πProduct ManagerPlatforms
What goplaces-togo can do for your AI workflow
Ask the user for their google 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 goplaces-togo
Help me get started with goplaces-togo
Explains what goplaces-togo does, walks through the setup, and runs a quick demo based on your current project
Use goplaces-togo to ask the user for their Google saved places list, look up each place...
Invokes goplaces-togo with the right parameters and returns the result directly in the conversation
What can I do with goplaces-togo in my product manager workflow?
Lists the top use cases for goplaces-togo, with example commands for each scenario
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goplaces-togo extends your AI assistant with the ability to ask the user for their Google saved places list, look up each place with goplaces, and recommend the single best one to visit today based on their preference... 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 goplaces-togo as its underlying capability.
goplaces-togo 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 goplaces-togo 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 goplaces-togo takes about two minutes. Place the skill at `~/.claude/skills/goplaces-togo/` (personal, all projects) or `.claude/skills/goplaces-togo/` (project-specific), then restart your AI client. From that point, typing `/goplaces-togo` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
goplaces-togo has 295 installs and is part of the growing Product Manager 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/goplaces-togo/ for personal use (all projects), or .claude/skills/goplaces-togo/ for project-specific use. Restart your AI client, then invoke with /goplaces-togo or let the AI discover it automatically.
goplaces-togo supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
goplaces-togo is free to install. Check the repository for licensing information.
Ask the user for their Google saved places list, look up each place with goplaces, and recommend the single best one to visit today based on their preference...
Automate my product manager tasks using goplaces-togo
Identifies repetitive steps in your workflow and sets up goplaces-togo to handle them automatically
goplaces-togo is categorized under Product Manager. These skills help AI agents perform specialized tasks in this domain.