An intelligent trend monitoring and analysis engine that identifies content opportunities across X, Google, and major social networks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trend-analyzer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install trend-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Trend Analyzer?
The Trend Analyzer is a specialized skill designed for developers and content strategists using Openclaw Skills. It automates the complex process of social listening by scanning platforms like X (Twitter), Google Trends, YouTube, and TikTok to identify emerging topics. The skill doesn't just collect data; it interprets it by calculating sentiment, velocity, and relevance to provide actionable content recommendations.
By leveraging browser automation and API integrations, the Trend Analyzer helps users bypass manual research. It evaluates every trend against a safety filter and a proprietary scoring system, ensuring that generated content ideas are both high-potential and brand-safe. Whether you are managing a personal brand or a corporate presence, this tool provides the data-driven edge needed to stay relevant in fast-moving digital ecosystems.
Trend Analyzer Use Cases
- Real-time monitoring of viral hashtags and topics on X for immediate participation.
- Identifying rising Google search queries to optimize SEO and blog content planning.
- Tracking competitor engagement patterns to discover differentiation points.
- Automating the detection of seasonal trends for long-term marketing calendars.
- Filtering out high-risk social issues to maintain brand safety and avoid controversies.
How Trend Analyzer Works
- Scans multiple data sources including x.com/explore and Google Trends via browser automation or APIs.
- Extracts key metadata such as tweet volume, keyword velocity, and related sentiment (positive/negative/neutral).
- Applies a scoring algorithm (0-100) based on relevance, timing, competition, and persistence.
- Filters results to exclude disasters, political conflicts, or copyright-infringing topics.
- Categorizes opportunities into types such as Breaking News, Explanatory, or Prediction.
- Generates daily or weekly reports and suggests specific post drafts for social media platforms.
Trend Analyzer Setup
To deploy this skill within your Openclaw Skills environment, follow these steps:
- Install the skill via the CLI:
openclaw install trend-analyzer
- Configure your API keys in the environment settings for optional data sources (e.g., X API, NewsAPI, YouTube Data API).
- (Optional) Set up browser automation drivers if you intend to use the browser-based scraping method for X trends.
- Define your niche keywords and competitor profiles in the configuration file to tailor the scoring system.
Trend Analyzer Data Schema & Taxonomy
The skill organizes analysis results into structured reports and internal metadata:
| Feature | Description |
|---|---|
| Trend Score | A 0-100 metric based on Relevance (30), Timing (25), Competition (20), Persistence (15), and Sentiment (10) |
| Opportunity Types | Classified as Breaking, Explanatory, Opinion, Summary, or Prediction |
| Alert Criteria | Real-time triggers for scores above 70 or high-engagement competitor posts |
| Reporting | Markdown-formatted Daily and Weekly summaries for strategy adjustment |
Trend Analyzer Advanced Features
- Real-time monitoring with instant alerts for high-scoring industry developments.
- Automated content generation pipeline, including text drafting and image creation via nano-banana integration.
- Blockchain-ready analytical service contracts through Moltbook for automated ETH-based reporting subscriptions.
- Multi-level automation settings allowing for human-in-the-loop approval or fully autonomous posting workflows.
- Deep sentiment analysis to predict the longevity and potential risk of viral topics.
SKILL.md
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