statistics
Geostatistics, uncertainty quantification, and time series analysis for paleoseismic research. Use for z-score analysis, Monte Carlo dating uncertainty, spatial clustering, and recurrence statistics.
Profile →npx skills add majiayu000/claude-skill-registry --skill statistics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Statistics for Geoscience Research ## When to Use This Skill Invoke when: - Calculating z-scores or anomaly detection - Quantifying dating uncertainty - Analyzing spatial clustering of events - Computing recurrence intervals - Performing Monte Carlo simulations - Assessing statistical significance ## Core Methods ### 1. Z-Score Analysis Standard approach for anomaly detection in geochemical time series: ``` z = (x - μ) / σ where: x = observed value μ = mean of reference period σ = standard deviation of reference period ``` **Interpretation thresholds**: | z-score | Interpretation | Action | |---------|---------------|--------| | |z| < 2.0 | Within normal variation | No anomaly | | |z| ≥ 2.0 | Significant anomaly | Investigate | | |z| ≥ 2.5 | Strong anomaly | Likely real signal | | |z| ≥ 3.0 | Extreme anomaly | High confidence | **Best practices**: - Use rolling window for mean/std (50-100 data points) - Exclude the test point from reference calculation - Report both positive and negative z-scores - Consider autocorrelation in time series ### 2. Dating Uncertainty **U-Th dating** (typical for speleothems): - Precision: ±50-100 years for Holocene - Report as: `1285 ± 85 yr (U-Th: 1
- When to Use This Skill
- Core Methods
- 1. Z-Score Analysis
- 2. Dating Uncertainty
- 3. Recurrence Interval Statistics
- 4. Spatial Clustering Analysis
- 5. Significance Testing
- 6. Time Series Analysis
- Available MCP Calculation Tools
- Common Pitfalls
- Reporting Standards
What does the statistics skill do?
Geostatistics, uncertainty quantification, and time series analysis for paleoseismic research. Use for z-score analysis, Monte Carlo dating uncertainty, spatial clustering, and recurrence statistics.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill statistics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.