Discover and use data skills to extend Claude's capabilities
665 Data Skills Available
Transforms medical analysis reports into stunning, personalized, data-driven Health Realms using intelligent visualization.
Analyze data, generate insights, create reports, and perform statistical analysis. Use when working with datasets, CSV files, Excel files, JSON data, or when user mentions data analysis, statistics, trends, patterns, or insights.
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
Scaffolds a high-performance scientific GUI application using a Data-Centric Architecture (PyQt+Visualization).
Use when "GeoPandas", "geospatial", "GIS", "shapefile", "GeoJSON", or asking about "spatial analysis", "coordinate transformation", "spatial join", "choropleth map", "buffer analysis", "geographic data", "map visualization
Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe
Identifies and filters test/dummy revenue data from real customer transactions across all revenue streams (affiliates, gallery, subscriptions).
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
Transform data findings into compelling insights. Use when converting analysis results into actionable insights, connecting findings to business impact, or preparing insights for stakeholder communication.
Analyze data, identify trends, and generate visualization recommendations
Cross-source metric validation and discrepancy investigation. Use when metrics from different sources don't match, investigating data quality issues between systems, or validating data migration accuracy.
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Expert data analysis covering SQL, visualization, statistical analysis, business intelligence, and data storytelling.
Expert data science covering machine learning, statistical modeling, experimentation, predictive analytics, and advanced analytics.
Expert people analytics covering workforce analytics, HR metrics, predictive modeling, employee insights, and data-driven HR decisions.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Copilot 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
AI-powered data analysis for Empathy Ledger - themes, quotes, story suggestions, transcript analysis.
Comprehensive data quality assessment against defined business rules and constraints. Use when validating data against expected schemas, checking referential integrity across tables, or auditing data pipeline outputs before production use.
A skill to introspect Salesforce databases using SOQL, understand schema structure, discover relationships, and build class diagrams for data modeling.
Teach meta-analysis of diagnostic test accuracy studies including sensitivity, specificity, SROC curves, and bivariate models. Use when users need to synthesize diagnostic accuracy data, understand SROC curves, or assess quality with QUADAS-2.
Analyze CSV data files and interpret figures to generate the Results section. Fifth step of writer workflow. Requires scope.md, data/ folder with CSVs, and figures/ folder with images.
Query databases and explore data. Use when the user mentions database, query, SQL, table, schema, data exploration, "check the data", "look at the database", "what's in the table", "show me records", "find in database", PostgreSQL, MySQL, SQLite, cross-database joins, data validation, or export query results. Also triggers on: exploring schemas, sampling data, running analytics queries, checking data quality, or any task involving database operations.
Generate AntV Infographic syntax outputs. Use when asked to turn user content into the Infographic DSL (template selection, data structuring, theme), or to output `infographic <template>` plain syntax.
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
Analyze the CustomGPT.ai Labs Innovation workbook and cost tracking data to surface portfolio-level insights, trends, and recommendations for where to focus Innovation efforts.
Expert in creating database diagrams and visual representations. Use when generating ERDs, schema diagrams, or visualizing database relationships with Mermaid.js.
Generate actionable insights from transaction data. Use when implementing insight generators, anomaly detection, or data analysis features for financial/tax tracking applications.
Lightning-fast DataFrame library written in Rust for high-performance data manipulation and analysis. Use when user wants blazing fast data transformations, working with large datasets, lazy evaluation pipelines, or needs better performance than pandas. Ideal for ETL, data wrangling, aggregations, joins, and reading/writing CSV, Parquet, JSON files.
Database query optimization strategies. Use when improving query performance.
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
Processes Coles grocery invoices to extract structured data and predict future orders. Use when user uploads/pastes invoice content, asks to analyze grocery purchases, or wants shopping predictions.
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.
Comprehensive spreadsheet work including creation, editing, and analysis of Excel files (.xlsx, .xlsm, .csv, .tsv). When Claude needs to work with spreadsheets for data analysis, financial modeling, or any Excel-related tasks.
Multi-agent data science framework using DS-STAR (Data Science - Structured Thought and Action) architecture. Automates data analysis through collaborative AI agents with multi-model support (Haiku, Sonnet, Opus). Use for exploratory data analysis, automated insights, and iterative data science workflows.
Analyzes dbt model dependencies, traces upstream sources and downstream consumers, identifies circular dependencies, and visualizes data lineage. Use when user asks about model dependencies, wants to understand data flow, needs impact analysis, or wants to trace where data comes from or goes to.
Database integration patterns for SQL and NoSQL databases. Use when working with database schemas, queries, migrations, or ORM configurations. Supports PostgreSQL, BigQuery, MongoDB, MySQL with progressive disclosure.
Expert assistant for Keboola data platform. Builds working data pipelines, not just advice. Use for: data extraction, transformation, validation, orchestration, dashboard creation.
Performs comprehensive data analysis including statistical analysis, visualization, pattern detection, and report generation. Use when the user asks to analyze data, find patterns, generate insights, create visualizations, or mentions data analysis, statistics, or data science tasks.
