social-media-monitor

What This Skill Does

The social-media-monitor is a specialized MCP-based tool designed to empower brands, e-commerce sellers, and social media operators to track public opinion and brand reputation locally. Unlike expensive SaaS platforms, this utility allows users to process data directly on their local machines. It focuses on keyword monitoring, sentiment analysis, and volume trend visualization, providing actionable insights from CSV data sources. It is specifically optimized for Chinese social media environments, such as Xiaohongshu, making it an essential asset for marketing professionals looking to manage crisis responses and content strategy effectively.

Installation

You can install this skill easily using the OpenClaw ecosystem. Run the following command in your terminal:

clawhub install openclaw/skills/skills/crystaria/social-media-monitor

Once installed, ensure you have the necessary environment configured, then navigate to the skill directory and run npm start to initialize the monitoring server.

Use Cases

1. Crisis Management: Set up a list of negative keywords (e.g., 'scam', 'complaint', 'bad quality'). The tool will perform sentiment analysis and trigger alerts if the sentiment score falls below your defined threshold.
2. Content Strategy: Use keyword extraction and volume trend analysis to understand which product features are being discussed most frequently, allowing you to iterate on your marketing copy and product positioning.
3. Reputation Audit: Quickly import your historical CSV data to generate a weekly report. This report summarizes sentiment trends and highlights core topics, saving hours of manual data categorization.

Example Prompts

1. "Check the current volume trend for my brand keywords over the last 7 days and identify any sudden spikes in negative sentiment."
2. "Extract the top 5 trending keywords from the recent import and analyze the general sentiment towards our new product launch."
3. "Set a strict alert threshold of -3 for my negative category keywords and check the latest imported data for any immediate concerns."

Tips & Limitations

• Security First: The tool is designed with a privacy-first approach; all processing is local. Data remains on your machine and is never sent to a cloud server.
• Accuracy: The sentiment analysis engine is dictionary-based. While it offers a 70% accuracy rate for rapid screening, professional-grade PR campaigns should still involve human oversight.
• Data Handling: The tool currently only supports local CSV files. Ensure your data follows the expected format to maximize the utility of the keyword extraction and report generation features.