A specialized utility to query and summarize real-time Twitter/X data using Grok AI models.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install grok-twitter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install grok-twitter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Grok Twitter Query?
The grok-twitter skill leverages the Grok AI engine to bridge the gap between AI agents and real-time social media data. Unlike traditional scrapers, this skill utilizes Grok's native access to the X platform, allowing developers to fetch summaries of trending topics, specific user activity, or complex event timelines through a simple CLI interface. It is an essential component for developers building Openclaw Skills that require up-to-the-minute information awareness.
By integrating this skill, users can bypass the complexities of social media APIs while gaining high-level insights generated by advanced language models. Whether you are tracking breaking news or analyzing public discourse, this tool provides a streamlined path to actionable social data.
Grok Twitter Query Use Cases
- Monitoring real-time trending topics and hashtags on the X platform.
- Summarizing recent activity and major announcements from specific Twitter profiles.
- Researching public sentiment and global developments via direct social media querying.
- Integrating live social data into automated developer research workflows.
How Grok Twitter Query Works
- The user provides a natural language prompt or specific query regarding X platform content to the query script.
- The skill authenticates with the Grok API using the securely configured environment variables.
- The query is processed by the Grok model, which utilizes its direct, real-time access to the Twitter data firehose.
- A summarized and contextually aware response is returned to the user or calling agent in a clean, readable format.
Grok Twitter Query Setup
To begin using this skill, you must first set the required environment variables to authenticate with your chosen API provider. This is a core part of managing your Openclaw Skills environment:
export GROK_API_KEY="your-api-key-here"
export GROK_API_URL="https://api.cheaprouter.club/v1/chat/completions" # optional
export GROK_MODEL="grok-4.20-beta" # optional
Once configured, you can execute queries using the provided Python script:
python3 scripts/query_grok.py "Summarize recent tweets about Openclaw Skills"
Grok Twitter Query Data Schema & Taxonomy
The skill processes queries through a centralized Python script and handles data as follows:
| Attribute | Description |
|---|---|
| Input | Natural language query string provided via CLI arguments |
| API Endpoint | Configurable Grok/XAI compatible completion endpoint |
| Output Format | Plain text summaries or structured conversational responses |
| Metadata | Model versioning and optional API routing parameters |
Responses are generated dynamically, ensuring that the information retrieved is as current as the X platform's latest posts.
Grok Twitter Query Advanced Features
- Support for custom API routing through proxy endpoints like Cheaprouter for optimized latency.
- Configurable model selection to balance between speed and reasoning depth for specific Openclaw Skills tasks.
- Native compatibility with multi-agent pipelines for automated social media monitoring.
- Real-time event tracking capabilities without the overhead of manual browser automation or complex scraping logic.
SKILL.md
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