Measure internet network speed (download, upload, ping) using speedtest-cli (Speedtest.net). Use when: user asks to "check speed", "run speedtest", "test net...
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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 speedtest-netOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install speedtest-netβ 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/speedtest-net/π‘Extract and place the folder at the path above, then restart your agent.
Category
π£Marketing & GrowthPlatforms
What Speedtest.net can do for your AI workflow
Measure internet network speed 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 Speedtest.net
Help me get started with Speedtest.net
Explains what Speedtest.net does, walks through the setup, and runs a quick demo based on your current project
Use Speedtest.net to measure internet network speed (download, upload, ping) using speed...
Invokes Speedtest.net with the right parameters and returns the result directly in the conversation
What can I do with Speedtest.net in my marketing & growth workflow?
Lists the top use cases for Speedtest.net, with example commands for each scenario
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Speedtest.net extends your AI assistant with the ability to measure internet network speed (download, upload, ping) using speedtest-cli (Speedtest.net). Use when: user asks to "check speed", "run speedtest", "test net... 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 Speedtest.net as its underlying capability.
Speedtest.net 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 Speedtest.net 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 Speedtest.net takes about two minutes. Place the skill at `~/.claude/skills/speedtest-net/` (personal, all projects) or `.claude/skills/speedtest-net/` (project-specific), then restart your AI client. From that point, typing `/speedtest-net` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Speedtest.net has 76 installs and is part of the growing Marketing & Growth 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/speedtest-net/ for personal use (all projects), or .claude/skills/speedtest-net/ for project-specific use. Restart your AI client, then invoke with /speedtest-net or let the AI discover it automatically.
Speedtest.net supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Speedtest.net is free to install. Check the repository for licensing information.
Measure internet network speed (download, upload, ping) using speedtest-cli (Speedtest.net). Use when: user asks to "check speed", "run speedtest", "test net...
Automate my marketing & growth tasks using Speedtest.net
Identifies repetitive steps in your workflow and sets up Speedtest.net to handle them automatically
Speedtest.net is categorized under Marketing & Growth. These skills help AI agents perform specialized tasks in this domain.