Historical Trend Analysis
Analyze historical data to predict future trends in cleaning product demand, waste generation, or facility usage.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add historical-trend-analysis npx -- -y @trustedskills/historical-trend-analysis
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"historical-trend-analysis": {
"command": "npx",
"args": [
"-y",
"@trustedskills/historical-trend-analysis"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill analyzes data to identify and describe historical trends. It can process time series data, calculate rates of change, and provide insights into patterns over time. The tool is designed to help users understand past events and potentially forecast future outcomes based on observed trends.
When to use it
- Analyzing stock market performance over the last decade to identify investment opportunities.
- Examining climate data (temperature, rainfall) to assess long-term environmental changes in a specific region.
- Evaluating website traffic patterns over several years to understand user behavior and optimize marketing strategies.
- Studying population growth trends across different countries to inform policy decisions.
Key capabilities
- Time series data processing
- Rate of change calculation
- Pattern identification
- Trend analysis
Example prompts
- "Analyze the historical trend of average monthly temperatures in London over the past 50 years."
- "What has been the overall trend in sales for product X between 2018 and 2023?"
- “Show me a graph of US GDP growth from 1950 to 2000, highlighting any significant turning points.”
Tips & gotchas
The skill's accuracy depends on the quality and completeness of the input data. Ensure the time series data is properly formatted and covers the desired period for reliable trend analysis.
Tags
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