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Data analysis skill hub. Routes to the right specialist subskill depending on the request — exploration, query writing, end-to-end analysis, visualization, validation, dashboard planning plus assembly, or recurring snapshot refresh.
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Based on SOC occupation classification
Plan, review, and then assemble a stakeholder-ready dashboard package from the current analysis run, with a native interactive canvas experience.
End-to-end data analysis — from a quick metric lookup to a formal stakeholder report. Combines schema discovery, SQL execution, optional visualization, and an evidence-based summary. Use for general "analyze / what's happening with…" requests.
Create, edit, redline, comment on, and visually verify `.docx`, Word, and Google Docs-targeted document artifacts. Use for Word documents, `.docx` files, document creation, document edits, tracked changes, comments, render QA, and Google Docs-ready local DOCX generation.
Create stunning, animation-rich browser-native HTML presentations. Use only when the user explicitly wants an HTML/web presentation or animated interactive browser deck. Do not use for `.ppt`, `.pptx`, PowerPoint, Google Slides, native deck creation, native deck editing, deck templates, or PPTX conversion/export requests; use the `pptx` skill for those.
Work with PDF documents safely, including querying existing PDFs and creating simple image-based PDFs from workspace images.
Research a company or person and get actionable sales intel. Start with internal context, then expand to current external research. Prefer tagged workspace files, Drive docs, Gmail history, and Sheets context before broader web research.
| name | data |
| description | Data analysis skill hub. Routes to the right specialist subskill depending on the request — exploration, query writing, end-to-end analysis, visualization, validation, dashboard planning plus assembly, or recurring snapshot refresh. |
| plugin | data-analytics |
| inherits_plugin_defaults | true |
This hub describes when to use each subskill in the data/ family. Load the most
specific subskill that matches the request; fall back to data/analyze for general
analysis tasks.
| Request type | Load skill |
|---|---|
| "What tables / columns / data do I have?" | data/explore |
| "Write me a SQL query to…" | data/query |
| "Analyze / what's happening with…" (general) | data/analyze |
| "Chart / visualize this…" | data/visualize |
| "Check / validate this analysis before I share it" | data/validate |
| "Build me a dashboard" | data/dashboard |
| "Refresh this every day / keep this report in sync" | data/refresh |
Spreadsheet routing:
xlsx when the user wants an Excel/CSV/TSV workbook file created, edited,
cleaned, formatted, recalculated, charted, or converted.data/* skill when the spreadsheet or tabular file is the input to an
analysis, SQL query, chart, dashboard, validation, or recurring data snapshot..xlsx, .xls, .ods, or .parquet files as UTF-8 text. Use
the document inspection tools or data plugin scripts.Choose the right data connector for the source:
toolbox-bq-demo) for discovery and scoped SQL. Treat BigQuery as the source of
truth. When repeated local slicing is needed, create or use a workspace snapshot
first, then continue through plugin scripts.run_skill_python_script with data_workspace for schema inspection, DuckDB
queries, profiling, and exports.data-artifacts MCP.data/refresh to publish stable
snapshots such as datasets/<slug>/latest.parquet, then regenerate stable native
dashboard or report artifacts from those snapshots.data/dashboard is review-first. It should inspect the tagged
dataset/report context, propose a dashboard plan, wait for approval, then generate the
native DashboardCanvas package with build_native_dashboard_package.data/dashboard, pass structured chart bindings to
build_native_dashboard_package; do not generate dashboard.snapshot.html.