Apify Trend Analysis
Analyze trending topics and keywords from web sources using Apify's data extraction and analysis capabilities.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add apify-trend-analysis npx -- -y @trustedskills/apify-trend-analysis
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"apify-trend-analysis": {
"command": "npx",
"args": [
"-y",
"@trustedskills/apify-trend-analysis"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The apify-trend-analysis skill enables AI agents to analyze trends from structured data, such as time-series datasets or historical records. It identifies patterns, correlations, and anomalies in the data over time, providing insights that can be used for forecasting or decision-making.
When to use it
- To detect seasonal patterns in sales data for business planning.
- For identifying emerging trends in social media sentiment analysis.
- When analyzing website traffic logs to predict future user behavior.
Key capabilities
- Time-series trend detection
- Pattern recognition in historical datasets
- Correlation and anomaly identification
Example prompts
- "Analyze the sales data from the last 12 months and identify any seasonal trends."
- "Detect anomalies in website traffic over the past quarter."
- "Identify correlations between user engagement metrics and content types."
Tips & gotchas
- Ensure your dataset is clean and properly formatted for accurate trend detection.
- This skill works best with numerical, time-based data; unstructured or categorical data may require preprocessing.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🏢 Official
Published by the company or team that built the technology.