Data
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
Skills (10)
Claude uses these on its own when your request matches.
- analyzeAnswer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
- build-dashboardBuild an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one…
- create-vizCreate publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
- data-context-extractorGenerate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE -
- data-visualizationCreate effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
- explore-dataProfile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column distributions, spotting data quality issues like duplicates or suspicious values, or deciding which dimensions and metrics to…
- sql-queriesWrite correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window functions, or…
- statistical-analysisApply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.
- validate-dataQA an analysis before sharing -- methodology, accuracy, and bias checks. Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually…
- write-queryWrite optimized SQL for your dialect with best practices. Use when translating a natural-language data need into SQL, building a multi-CTE query with joins and aggregations, optimizing a query against a large partitioned table, or getting dialect-specific syntax for Snowflake,…
MCP servers (8)
Added to Claude Code when you install the plugin. You sign in to Data the first time it is used.
- snowflakeRemote
- databricksRemote
- bigqueryRemote
https://bigquery.googleapis.com/mcp - hexRemote
https://app.hex.tech/mcp - amplitudeRemote
https://mcp.amplitude.com/mcp - amplitude-euRemote
https://mcp.eu.amplitude.com/mcp - atlassianRemote
https://mcp.atlassian.com/v1/mcp - definiteRemote
https://api.definite.app/v3/mcp/http
Install
Run in your terminal
claude plugin marketplace add anthropics/knowledge-work-plugins && claude plugin install data@knowledge-work-pluginsAdds the knowledge-work-plugins marketplace if you don't have it yet, then installs. Start a new Claude Code session to use it.
Already in a Claude Code session?
1. Add the marketplace (first time only)
/plugin marketplace add anthropics/knowledge-work-plugins2. Install
/plugin install data@knowledge-work-pluginsPublished in Anthropic's knowledge-work-plugins marketplace (anthropics/knowledge-work-plugins).
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