Metrics Normalization Formatter
This tool converts complex metric data into a standardized format for easier comparison and analysis, improving reporting accuracy.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add metrics-normalization-formatter npx -- -y @trustedskills/metrics-normalization-formatter
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"metrics-normalization-formatter": {
"command": "npx",
"args": [
"-y",
"@trustedskills/metrics-normalization-formatter"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Metrics Normalization Formatter skill takes raw metric data (like website traffic, conversion rates, or social media engagement) and transforms it into a standardized format. It can handle various input types and scales them to a consistent range, making comparisons across different metrics easier. This allows for more informed decision-making based on aggregated performance indicators.
When to use it
- Comparing marketing channel performance: Normalize data from Google Ads, Facebook Ads, and email campaigns to see which is most effective.
- Tracking progress over time: Standardize monthly website traffic numbers with quarterly sales figures for a holistic view of business growth.
- Benchmarking against industry standards: Scale your metrics to compare them to average values in your sector.
- Creating dashboards and reports: Format data consistently for clear visualization and presentation.
Key capabilities
- Handles various metric types (traffic, conversions, engagement)
- Scales data to a consistent range (e.g., 0-1 or -1 to 1)
- Supports different normalization methods (min-max scaling, z-score standardization)
- Provides formatted output suitable for dashboards and reports
Example prompts
- "Normalize website traffic and conversion rate data from the last quarter."
- "Scale these metrics: [list of metrics] using min-max scaling to a range between 0 and 1."
- “Format this data into a standardized report ready for presentation.”
Tips & gotchas
The skill requires clear input data with appropriate labels. Ensure your metric values are numerical; non-numerical data will cause errors.
Tags
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