Plugin Claude Code
Data science plugin for LLM agents. Connects to 13 database types, 20+ file formats, graph/RDF sources, and provides 8 analytical domains with 70 MCP tools, 18 skills, and 11 agents.
Agent
Business intelligence agent. Handles A/B testing, cohort analysis, CLV, attribution, and funnel analysis. Translates statistical results into business recommendations. Use for business metric analysis and experiment evaluation.
Agent
Autonomous data exploration agent. Connects to data sources, profiles data quality, identifies patterns, and generates a comprehensive summary report. Use when starting analysis on an unfamiliar dataset.
Agent
Data research agent. Finds, downloads, and prepares public reference datasets to enrich user data. Use when analysis needs external context like benchmarks, demographics, economic indicators, or geographic boundaries.
Agent
Senior data scientist agent. Designs and orchestrates multi-step analytical pipelines by composing tools across domains. Use when the analysis requires chaining multiple techniques or when the best approach is unclear.
Agent
Time series forecasting agent. Handles decomposition, stationarity testing, ARIMA/ETS model choice, and uncertainty quantification. Use when predicting future values from historical data.
Agent
Geospatial analysis agent. Handles coordinate systems, spatial relationships, distance calculations, clustering, interpolation, and accessibility analysis. Use when data has a geographic or spatial dimension.
Agent
Graph data and network analysis agent. Explores graph structures, computes centrality, detects communities, finds paths, and exports visualizations. Use when working with network, dependency, or relationship data.
Agent
Machine learning analysis agent. Handles clustering, anomaly detection, dimensionality reduction, and regression modeling. Selects algorithms based on data characteristics. Use for pattern discovery and predictive modeling.
Agent
Operations and process analysis agent. Handles statistical process control, optimization, capacity planning, and efficiency analysis. Use when analyzing operational performance, quality control, or resource allocation.
Agent
Academic research analysis agent. Ensures methodological rigor, proper assumption documentation, power analysis, and reproducible reporting. Use when the analysis must meet peer-review or regulatory standards.
Agent
Statistical analysis agent. Runs hypothesis tests, ANOVA, effect sizes, sampling design, bootstrap estimation, and non-parametric tests with plain-language interpretation. Use when rigorous statistical testing or estimation is needed.
Skill Claude CodeCodex
Run a thorough data quality assessment — completeness, consistency, validity, and uniqueness. Use when you need to understand data fitness before analysis.
Skill Claude CodeCodex
Connect to a data source, profile its schema and quality, and recommend appropriate analyses. Use when starting work with a new dataset.
Skill Claude CodeCodex
Identify and prepare external reference datasets to enrich analysis — benchmarks, demographics, economic indicators, or geographic context. Use when analysis needs external context.
Skill Claude CodeCodex
Explore a graph data structure — nodes, edges, statistics, paths, and visualization. Use when working with DOT, GML, GraphML, or Mermaid files.
Skill Claude CodeCodex
Detect outliers and anomalies in data using isolation forest or local outlier factor. Use when identifying unusual observations or suspicious patterns.
Skill Claude CodeCodex
Discover natural groupings in data using clustering algorithms with evaluation and visualization. Use when segmenting data or finding patterns.
Skill Claude CodeCodex
Reduce high-dimensional data to fewer components for visualization or feature engineering using PCA, t-SNE, or UMAP. Use when data has many features and needs simplification.
Skill Claude CodeCodex
Analyze a time series and generate forecasts with confidence intervals. Use when predicting future values from historical data.
Skill Claude CodeCodex
Analyze spatial patterns, compute distances, detect geographic clusters, and assess accessibility. Use when data has coordinates or geographic dimensions.
Skill Claude CodeCodex
Solve resource allocation, scheduling, and process optimization problems. Use when finding the best solution under constraints.
Skill Claude CodeCodex
Build and evaluate regression models to predict a target variable. Use when modeling relationships between features and an outcome.
Skill Claude CodeCodex
Analyze an A/B test experiment and provide a clear ship/iterate/no-ship recommendation. Use when evaluating experiment results.