xpoz-social-search

What This Skill Does

The xpoz-social-search skill is a robust toolset integrated into the OpenClaw AI agent ecosystem, designed to grant your agent the ability to perform high-fidelity social intelligence gathering. It leverages the Xpoz MCP server to bridge your agent with over 1.5 billion indexed social media posts spanning Twitter, Instagram, and Reddit. By offloading complex cross-platform aggregation to this skill, your agent can perform real-time brand monitoring, competitor research, and influencer discovery without manual browsing. The tool uses natural language queries, allowing your agent to parse complex topics and extract meaningful data points such as post sentiment, trending hashtags, and individual user profile metrics. It is built to facilitate automated research workflows, including data exports for detailed post-campaign analysis.

Installation

To install this skill, run the following command in your terminal or via the ClawHub interface: clawhub install openclaw/skills/skills/atyachin/twitter-search

Ensure that you have completed the required setup by following the guidelines at xpoz-setup. You must authorize the Xpoz MCP server before the agent can successfully execute search queries. Once mcporter call xpoz.checkAccessKeyStatus verifies your access key, you are ready to start searching.

Use Cases

• Brand Monitoring: Track mentions of your products across all three major platforms simultaneously.
• Influencer Discovery: Identify key opinion leaders in niche tech or business sectors by filtering for high-engagement accounts that frequently discuss your core topics.
• Competitor Analysis: Monitor competitor hashtags and posts to understand how they are engaging with their community.
• Trend Research: Use real-time data to identify burgeoning trends before they reach mainstream news, helping you adapt your strategies quickly.

Example Prompts

1. "Check Twitter and Reddit for the latest buzz around 'OpenClaw' and compile a summary of the common sentiment among users."
2. "Find 10 influential Instagram accounts that frequently post content about AI automation and provide their profile handles."
3. "Give me a report on the performance of the hashtag #OpenSourceLLM on Twitter over the last 30 days."

Tips & Limitations

• Polling is Key: Most requests return an operationId. Always use xpoz.checkOperationStatus to retrieve your results once the backend processing finishes.
• Query Precision: While the search supports natural language, using boolean operators (AND, OR, NOT) within your queries will drastically improve the relevance of your results.
• Rate Limiting: Be mindful of the volume of requests. While the index is massive, consistent high-frequency polling can reach API limits; manage your intervals appropriately.