Fast X Intelligence CLI (Rust) β search, analyze, and engage on X/Twitter from the terminal. Use when: (1) user says "x research", "search x for", "search tw...
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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 xint-rsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install xint-rsβ 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/xint-rs/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Xint Rs can do for your AI workflow
Fast x intelligence cli 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 Xint Rs
Help me get started with Xint Rs
Explains what Xint Rs does, walks through the setup, and runs a quick demo based on your current project
Use Xint Rs to fast X Intelligence CLI (Rust) β search, analyze, and engage on X/T...
Invokes Xint Rs with the right parameters and returns the result directly in the conversation
What can I do with Xint Rs in my developer & devops workflow?
Lists the top use cases for Xint Rs, with example commands for each scenario
Guides & tutorials for AI skills
Xint Rs extends your AI assistant with the ability to fast X Intelligence CLI (Rust) β search, analyze, and engage on X/Twitter from the terminal. Use when: (1) user says "x research", "search x for", "search tw... 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 Xint Rs as its underlying capability.
Xint Rs 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 Xint Rs 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 Xint Rs takes about two minutes. Place the skill at `~/.claude/skills/xint-rs/` (personal, all projects) or `.claude/skills/xint-rs/` (project-specific), then restart your AI client. From that point, typing `/xint-rs` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Xint Rs has 730 installs and is part of the growing Developer & DevOps skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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/xint-rs/ for personal use (all projects), or .claude/skills/xint-rs/ for project-specific use. Restart your AI client, then invoke with /xint-rs or let the AI discover it automatically.
Xint Rs supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Xint Rs is free to install. Check the repository for licensing information.
Fast X Intelligence CLI (Rust) β search, analyze, and engage on X/Twitter from the terminal. Use when: (1) user says "x research", "search x for", "search tw...
Links
Automate my developer & devops tasks using Xint Rs
Identifies repetitive steps in your workflow and sets up Xint Rs to handle them automatically
MCP vs traditional plugins: what's the difference?
Xint Rs is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.