twitter-scout
Use Grok AI to browse and analyze Twitter/X in real-time. Find trending topics, viral posts, crypto alpha, tech news, and opportunities. Use when asked to "check twitter", "find tweets about", "what's trending on X", "twitter alpha", "scan twitter for", or any Twitter/X related research.
Why use this skill?
Use the Twitter Scout skill to perform real-time market research, track trending topics, and discover crypto alpha on X using Grok AI integration.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bobdevibecoder/bobagent-twitter-scoutWhat This Skill Does
The twitter-scout skill integrates the Grok AI engine directly into your OpenClaw agent, providing native, real-time access to the Twitter/X platform. Unlike traditional AI models that rely on static training data or lagging web scrapers, twitter-scout leverages Grok's privileged access to X's firehose. It enables your agent to scan for trending topics, extract crypto alpha, gauge public sentiment on specific tickers or brands, and identify breaking news as it unfolds. By processing this live data stream into structured JSON outputs, the skill allows your agent to perform deep market research, sentiment analysis, and opportunity discovery without ever leaving the terminal.
Installation
To integrate twitter-scout into your workflow, ensure you have the OpenClaw environment properly configured. Run the following command in your terminal to fetch the skill from the central repository:
clawhub install openclaw/skills/skills/bobdevibecoder/bobagent-twitter-scout
Once installed, verify that your environment variables are set correctly. You must export your GROK_API_KEY to grant the skill permission to query the Grok API:
export GROK_API_KEY="your_api_key_here"
Use Cases
This skill is designed for high-frequency information gatherers and researchers. Use it to keep a pulse on crypto markets by scanning for early-stage memecoin signals or "alpha." It is equally effective for technical research, allowing you to gauge developer sentiment toward new frameworks or libraries. Marketers can use it to monitor brand perception, while traders use it to spot potential volatility triggers based on real-time viral posts. It is the perfect bridge between raw social media noise and actionable intelligence.
Example Prompts
- "Check Twitter for the latest sentiment on NVIDIA; I'm planning to rebalance my portfolio."
- "What's trending on X right now regarding decentralized AI agents?"
- "Scan Twitter for Solana-based memecoins that have seen a surge in engagement in the last hour."
Tips & Limitations
Grok imposes rate limits based on your account tier; the free tier supports approximately 25 requests per day, so optimize your agent's query frequency accordingly. For the best results, use precise, high-intent search terms rather than broad keywords. Combine this skill with file-write or notification skills to automate reporting. Be aware that social media data is highly subjective; always treat the output as a sentiment indicator rather than objective financial advice. If you receive empty result sets, try broadening your search terms or checking your API key connectivity.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bobdevibecoder-bobagent-twitter-scout": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
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