Social Listening Monitor
Skill by g4dr
Why use this skill?
Automate brand monitoring across social media and news sites with this OpenClaw skill. Gain sentiment analysis and instant crisis alerts.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/g4dr/social-listening-monitorWhat This Skill Does
The Social Listening Monitor by g4dr is a sophisticated reputation management system designed to provide real-time intelligence on how your brand is perceived across the digital landscape. By integrating the scraping power of Apify with the analytical capabilities of OpenClaw (Claude), this skill automatically monitors Twitter/X, Reddit, specialized forums, and major news outlets. It performs deep-dive sentiment analysis, identifies potential PR crises before they spiral, tracks competitor activity, and distinguishes between genuine customer feedback and automated noise. Furthermore, it offers actionable features such as suggested response drafting, automatic Slack or Telegram alerting when sentiment thresholds are crossed, and the generation of weekly trend reports to visualize your brand health over time.
Installation
To integrate this monitoring system into your agent environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/g4dr/social-listening-monitor
Ensure you have configured your Apify API key within your environment variables, as this is required for the initial data acquisition layer. Once installed, verify the connection by running the setup diagnostics command provided in the package documentation to ensure the scrape-to-analysis pipeline is active.
Use Cases
- Proactive PR: Detect negative feedback about a new product launch within minutes, allowing your marketing team to issue a clarification before it trends.
- Competitor Benchmarking: Monitor the public perception of your direct competitors to identify gaps in their customer service or product features that you can exploit.
- Crisis Prevention: Receive instant alerts if a high-reach account posts a negative sentiment review, enabling swift intervention.
- Market Research: Automatically aggregate customer complaints to identify recurring bugs or feature requests, feeding this data directly into your product development backlog.
Example Prompts
- "Check the current reputation score for our brand and list the three most significant negative mentions from Twitter today."
- "Generate a weekly summary report of all discussions regarding 'competitor-name' and identify any trending complaints that could represent an opportunity for us."
- "Set an alert to notify me on Slack if we receive more than 5 negative mentions on Reddit within a one-hour window."
Tips & Limitations
To maximize the efficiency of this skill, define your search keywords carefully to reduce noise; overly broad terms may trigger unnecessary alerts. Be aware that the effectiveness of the sentiment analysis depends on the clarity of the source text; sarcasm or slang on platforms like Reddit may occasionally challenge the model. Regularly audit your filter lists to ensure you are not tracking irrelevant content, and remember that Apify costs are associated with the volume of scraping requests, so monitor your usage limits closely.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-g4dr-social-listening-monitor": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api