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Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
written by Forgecat
Query, visualize, and interpret datasets with Claude. Write SQL across all major warehouse dialects, run statistical analysis, build dashboards, and validate your work before sharing. Connects to Snowflake, BigQuery, Databricks, Amplitude, Hex, and more.
ForgeCatnpx forgecat install @forgecat/anthropics_knowledge-work-plugins_data
| Skill | Description |
|---|---|
analyze | Answer 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. analytics |
explore-data | Profile 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 analyze. exploration |
write-query | Write 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, BigQuery, Postgres, etc. sql |
sql-queries | Write 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 aggregations. sql |
statistical-analysis | Apply 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. statistics |
data-visualization | Create 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. visualization |
create-viz | Create 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. visualization |
build-dashboard | Build 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 browser-openable file. dashboard |
validate-data | QA 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 supported by the data. qa |
data-context-extractor | Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. customization |
| Server | Transport | URL | Category |
|---|---|---|---|
| Snowflake | http | (URL not yet configured) | data warehouse |
| Databricks | http | (URL not yet configured) | data warehouse |
| BigQuery | http | https://bigquery.googleapis.com/mcp | data warehouse |
| Hex | http | https://app.hex.tech/mcp | notebook |
| Amplitude | http | https://mcp.amplitude.com/mcp | analytics |
| Amplitude EU | http | https://mcp.eu.amplitude.com/mcp | analytics |
| Atlassian | http | https://mcp.atlassian.com/v1/mcp | project tracker |
| Definite | http | https://api.definite.app/v3/mcp/http | data platform |
| Field | Value |
|---|---|
| Author | Anthropic |
| Original repository | https://github.com/anthropics/knowledge-work-plugins/tree/main/data |
| Version | 0.0.4 |
| Original commit | d2ba7f6 |
| License | Apache-2.0 |
| Source platform | Claude Code plugin (Cowork) |
| Platform | Status |
|---|---|
| Claude Code | Tested |
| Codex | Partial |
| Cursor | Partial |
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forgecat
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