Discover and use data skills to extend Claude's capabilities
665 Data Skills Available
Full-stack observability with Datadog APM, logs, metrics, synthetics, and RUM. Use when implementing monitoring, tracing, alerting, or cost optimization for production systems.
Pragmatic qualitative analysis for interview data in sociology research. Guides you through systematic coding, interpretation, and synthesis with quality checkpoints. Supports theory-informed (Track A) or data-first (Track B) approaches.
Deep research skill for systematic exploration. Auto-triggered for research, analysis, investigation tasks. Ensures data accuracy and research depth.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
High-performance DataFrame library for fast data processing with lazy evaluation, parallel execution, and memory efficiency
Build interactive data applications and dashboards with pure Python - no frontend experience required
Automated data quality reports with comprehensive variable analysis, missing value detection, correlations, and HTML report generation - formerly pandas-profiling
Automated EDA comparison reports with target analysis, feature comparison, and HTML report generation for pandas DataFrames
Provides CollectionView alternatives for AvaloniaUI using DataGridCollectionView and ReactiveUI. Use when filtering, sorting, or grouping collections in AvaloniaUI applications.
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Expert in business intelligence, SQL, data visualization, and translating data into actionable business insights.
Visualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.
Use when optimizing database queries, indexes, N+1 problems, slow queries, or analyzing query performance. Triggers on keywords like "slow query", "N+1", "index", "query optimization", "database performance", "eager loading".
Defines database performance monitoring strategy with slow query detection, resource usage alerts, query execution thresholds, and automated alerting. Use for "database monitoring", "performance alerts", "slow queries", or "DB metrics".
Use when the user mentions 'HEPData' or asks to find experimental data, download data tables from HEP papers, get digitized plots, or retrieve cross-section measurements. HEPData contains data points behind figures in high-energy physics publications.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Create Mermaid diagrams and convert them to images. Use when needing to visualize flows, architecture, or data structures.
TD workflow debugging and operations. Covers tdx wf commands for monitoring (sessions, attempt, logs), retry/backfill patterns, alerting (_error with Slack/email), and data quality checks.
Track user metrics and provide data-driven insights for product decisions. Use when measuring product health, analyzing user behavior, conducting cohort analysis, or optimizing key metrics. Covers acquisition, engagement, retention, revenue metrics, and data-driven decision making.
This skill should be used when the user asks to "query Prometheus", "analyze Prometheus metrics", "check Prometheus alerts", "write PromQL", "interpret Prometheus data", "fetch metrics", or mentions Prometheus querying, alerting, or metrics analysis. Provides guidance for querying and interpreting Prometheus metrics for root cause analysis.
Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like "collect infrastructure metrics", "monitor server performance", or "track system resources".
Create interactive maps with markers, heatmaps, routes, and choropleth layers. Use when visualizing geographic data, plotting locations, or creating map-based reports.
Compare two datasets to find differences, added/removed rows, changed values. Use for data validation, ETL verification, or tracking changes.
Transform CSV/Excel data into narrative reports with auto-generated insights, visualizations, and PDF export. Auto-detects patterns and creates plain-English summaries.
Detect anomalies and outliers in datasets using statistical and ML methods. Use for data cleaning, fraud detection, or quality control analysis.
Create interactive Sankey diagrams for flow visualization from CSV, DataFrame, or dict data. Supports node/link styling and HTML/PNG/SVG export.
Generate formatted expense reports from receipt data or CSV. Create professional PDF reports with categorization, totals, and approval workflows.
Find and visualize correlations between variables in datasets. Use for data exploration, feature selection, or identifying relationships between columns.
Cluster data using K-Means, DBSCAN, hierarchical clustering. Use for customer segmentation, pattern discovery, or data grouping.
Generate custom reports, query reports, and script reports for Frappe applications. Use when creating data analysis and reporting features.
SQLMesh patterns for data transformation with column-level lineage and virtual environments. Use when building data pipelines that need advanced features like automatic DAG inference and efficient incremental processing.
Analyze datasets to discover patterns, anomalies, and relationships. Use when exploring data files, generating statistical summaries, checking data quality, or creating visualizations. Supports CSV, Excel, JSON, Parquet, and more.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Expert assistance for using pytd (Python SDK) to query and import data with Treasure Data. Use this skill when users need help with Python-based data analysis, querying Presto/Hive, importing pandas DataFrames, bulk data uploads, or integrating TD with Python analytical workflows.