Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
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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 local-placesOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install local-placesβ 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/local-places/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Local Places can do for your AI workflow
For places directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 7,339+ 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 Local Places
Help me get started with Local Places
Explains what Local Places does, walks through the setup, and runs a quick demo based on your current project
Use Local Places to search for places (restaurants, cafes, etc
Invokes Local Places with the right parameters and returns the result directly in the conversation
What can I do with Local Places in my developer & devops workflow?
Lists the top use cases for Local Places, with example commands for each scenario
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Local Places extends your AI assistant with the ability to search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost. 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 Local Places as its underlying capability.
Local Places 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 Local Places 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 Local Places, copy the skill folder to `~/.claude/skills/local-places/` for use across all your projects, or `.claude/skills/local-places/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/local-places` or just describe your goal and the AI will pick it up automatically.
Local Places has been installed 7,339 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/local-places/ for personal use (all projects), or .claude/skills/local-places/ for project-specific use. Restart your AI client, then invoke with /local-places or let the AI discover it automatically.
Local Places supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Local Places is free to install. Check the repository for licensing information.
Search for places (restaurants, cafes, etc.) via Google Places API proxy on localhost.
Local Whisper
CuratedLocal speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
Local Web Search
Free local web search via DuckDuckGo HTML scraping with no API key. Use when web_search tool is unavailable or missing API keys, and you need fast query resu...
Automate my developer & devops tasks using Local Places
Identifies repetitive steps in your workflow and sets up Local Places to handle them automatically
Local Places is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
Local Rag Search
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multiple sources, or gather context from the internet without using external APIs. This skill teaches effective use of RAG-based web search with DuckDuckGo, Google, and multi-engine deep research capabilities.