Thank you for your interest in contributing to metrics.help!
Create or edit a markdown file in src/content/metrics/ using this structure:
---
id: metric-id
name: Display Name
aliases: [metric_id, alternative_name, another_alias]
shortDescription: Brief one-line description of the metric.
whatToLookFor:
- Key point to watch for
- Another important indicator
- Warning signs
visualizations:
yDomain: [min, max] # e.g., [0, 1] or [0, 100]
healthy:
data:
- { step: 0, value: 0.5 }
- { step: 10, value: 0.7 }
# Add more data points showing healthy progression
unhealthy:
data:
- { step: 0, value: 0.5 }
- { step: 10, value: 0.3 }
# Add more data points showing problematic patterns
---
# Detailed Explanation
Provide a clear, beginner-friendly explanation of what this metric measures and why it matters.
## Common Issues
Describe common problems or patterns to watch out for.
## Related Metrics
Link to related metrics that practitioners should also monitor.Create or edit a markdown file in src/content/algorithms/ following a similar structure, explaining:
- What the algorithm does
- Key metrics to watch when using this algorithm
- Common issues and solutions
- Links to papers or resources
- Fix typos or unclear explanations
- Add examples or better visualizations
- Improve accuracy of technical content
When adding or editing content:
- Be beginner-friendly: Assume readers are learning
- Be practical: Focus on actionable insights
- Be concise: Get to the point quickly
- Use examples: Show real patterns, not just theory
- Test visualizations: Ensure data points create clear, understandable graphs
- Fork the repository
- Make your changes
- Submit a pull request with a clear description of what you've added or fixed
By contributing, you agree that your contributions will be licensed under the MIT License (code) and CC0 (content).