xpoz-social-search

What This Skill Does

The xpoz-social-search skill empowers OpenClaw agents to perform deep-dive social intelligence research across the three most critical platforms for real-time discussion: Twitter, Instagram, and Reddit. With an index of over 1.5 billion posts, this tool allows your agent to cut through the noise of the internet to find high-signal information, track brand sentiment, and identify key influencers or community voices. Unlike manual searching, the agent handles the heavy lifting of cross-platform aggregation, polling for operation statuses, and filtering by date or topic, allowing you to focus on strategy rather than execution.

Installation

To begin, ensure you have the OpenClaw environment ready. Execute the following command in your terminal to install the skill:

clawhub install openclaw/skills/skills/atyachin/social-media-search

Prerequisites: You must complete the setup process via the xpoz-setup skill. This establishes the necessary authentication tokens required to access the Xpoz MCP server. Once authorized, your agent will automatically maintain the connection, and you will be ready to perform searches.

Use Cases

• Brand Monitoring: Track mentions of your products or services across different platforms to manage reputation.
• Competitor Research: Analyze the marketing strategies and community engagement levels of your industry rivals.
• Influencer Discovery: Identify power users and content creators within specific niches by analyzing keyword usage and post frequency.
• Market Intelligence: Gauge public sentiment regarding new trends or specific technologies before they hit the mainstream media.

Example Prompts

1. "Check Twitter and Reddit for recent discussions about the latest advancements in AI agents, and summarize the top three most debated topics from the last week."
2. "Find five prominent Instagram creators who are frequently posting about sustainable fashion and provide their profile handles."
3. "Search Reddit for threads regarding 'OpenClaw' to see what users are saying about our recent release, and export the results to a CSV file for my review."

Tips & Limitations

• Poll for Results: Because many social media queries are data-intensive, the system returns an operationId. Always remember to call xpoz.checkOperationStatus to retrieve your final data sets.
• Refine Your Queries: Use specific Boolean logic (e.g., AND, OR) within your queries to ensure the most relevant results from the 1.5B+ database.
• Rate Limiting: Be mindful that high-volume requests are processed in batches. If you are conducting large-scale data analysis, break your requests into smaller date-range chunks to maintain optimal performance.
• Authentication: If you receive access errors, re-run the xpoz-setup authorization flow to refresh your tokens.