data-analysis
195
survival-analysis-guide
Conduct Kaplan-Meier, Cox regression, and time-to-event analyses
wentorai
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
data-analysis
195
power-analysis-guide
Sample size calculation and statistical power analysis guide
wentorai
data-ai
data-analysis
195
modeling-strategy-guide
Strategic statistical modeling, experimentation, and causal inference
wentorai
data-ai
data-analysis
195
journal-metrics-guide
Understand journal impact factors, h5-index, CiteScore, and SJR
wentorai
data-ai
data-analysis
185
data-analytics-foundations
Core data analytics concepts, Excel/Google Sheets fundamentals, and data collection techniques
majiayu000
data-ai
data-analysis
185
data-synthesis
Synthesize findings from multiple research sources into coherent insights. Use when combining data from different sub-agents or research threads.
majiayu000
data-ai
data-analysis
185
composable-svelte-charts
Data visualization and chart components for Composable Svelte. Use when creating charts, graphs, or data visualizations. Covers chart types (scatter, line, bar, area, histogram), data binding, state-driven updates, interactive features (zoom, brush, tooltips), and responsive design from @composable-svelte/charts package built with Observable Plot and D3.
majiayu000
data-ai
data-analysis
185
clustering-analysis
Identify groups and patterns in data using k-means, hierarchical clustering, and DBSCAN for cluster discovery, customer segmentation, and unsupervised learning
majiayu000
data-ai
data-analysis
185
data-analysis-sql
SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
majiayu000
data-ai
data-analysis
185
data-analysis-agent
Analyzes data with rich metadata recommendations
majiayu000
data-ai
data-analysis
185
data-viz-insight
Interactive data exploration and visualization skill. Use when users ask to visualize data, analyze datasets, create charts, or explore data files (CSV, Excel, Parquet, JSON). This skill guides through data exploration, proposes visualization strategies based on data characteristics, creates interactive Plotly charts in marimo notebooks, and generates analytical conclusions.
majiayu000
data-ai
data-analysis
185
long-call-butterfly
Analyzes long call butterfly spreads with 3 strikes and 4 legs for neutral outlook. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting minimal price movement, want low-cost defined-risk strategy, analyzing pinning opportunities, or evaluating tight-range neutral positions on stocks near technical levels.
majiayu000
data-ai
data-analysis
185
er-modeling
Create entity-relationship diagrams with proper normalization, keys, and cardinality for logical data models.
majiayu000
data-ai
data-analysis
185
long-strangle
Analyzes long strangle volatility plays with OTM call and put at different strikes. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting very large price movement, want lower-cost alternative to straddle, analyzing high-volatility events, or evaluating wide-range breakout opportunities on stocks with elevated IV.
majiayu000
data-ai
data-analysis
185
engineering-nba-data
Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineering tasks. Supports both stats.nba.com endpoints and static player/team lookups.
majiayu000
data-ai
data-analysis
185
intermediate-example
An intermediate example with metadata and examples
majiayu000
data-ai
data-analysis
185
limacharlie-reporting
Use this skill when users need interactive HTML reports, dashboards, charts, or visualizations for LimaCharlie data. You generate the HTML, this skill serves it on localhost.
majiayu000
data-ai
data-analysis
185
dnevni-summary
Creates STRUCTURED summary.md in each daily folder. Analyzes chat conversations and generates actionable summaries with "Što je uradio" and "Što bi trebao da uradi" sections per person. Use for daily reports and activity tracking.
majiayu000
data-ai
data-analysis
185
aggregating-event-datasets
Aggregate and summarize event datasets (logs) using OPAL statsby. Use when you need to count, sum, or calculate statistics across log events. Covers make_col for derived columns, statsby for aggregation, group_by for grouping, aggregation functions (count, sum, avg, percentile), and topk for top N results. Returns single summary row per group across entire time range. For time-series trends, see time-series-analysis skill.
majiayu000
data-ai
data-analysis
185
dbt-model-builder
Create dbt models following FF Analytics Kimball patterns and 2×2 stat model. This skill should be used when creating staging models, core facts/dimensions, or analytical marts. Guides through model creation with proper grain, tests, External Parquet configuration, and per-model YAML documentation using dbt 1.10+ syntax.
majiayu000
data-ai
data-analysis
185
format-markdown-table
Generate well-formatted markdown tables from data with proper alignment and spacing. Use for report statistics, comparison tables, or summary data presentation.
majiayu000
data-ai
data-analysis
185
detecting-anomalies
Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data. Covers statistical outlier detection (Z-score, IQR), threshold-based alerts, rate-of-change detection with window functions, and moving average baselines. Choose pattern based on data distribution and anomaly type.
majiayu000
data-ai