Use Case
Production-ready Twitter/X data and automation for autonomous agents isn't just for solo use — teams can share skills and build consistent AI workflows across the organization. Search X (Twitter) in real time, monitor trends, extract posts, and analyze social media data—perfect for social listening and intelligence gathering. Safe read-only operations by default. This guide covers how to deploy Production-ready Twitter/X data and automation for autonomous agents for your team, standardize prompts, and create shared workflows that everyone can use.
Install Production-ready Twitter/X data and automation for autonomous agents in your project directory: .claude/skills/asia-twitter-api-v1/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Production-ready Twitter/X data and automation for autonomous agents in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Production-ready Twitter/X data and automation for autonomous agents
How can my team use Production-ready Twitter/X data and automation for autonomous agents together?
Set up Production-ready Twitter/X data and automation for autonomous agents for our project so everyone can use it
Create a shared workflow using Production-ready Twitter/X data and automation for autonomous agents for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install asia-twitter-api-v1Or via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install asia-twitter-api-v1⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
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/asia-twitter-api-v1/💡Extract and place the folder at the path above, then restart your agent.