HTML Data Explorer

For ad-hoc data exploration — a CSV someone pasted, a JSON dump from an API, a log file from production — opening Tableau or even a Jupyter notebook is overkill. A self-contained HTML file with the data baked in, a filterable table, a few charts, and faceted search is faster to build and faster to share.

When to use this skill

• "Look at / analyze / explore this CSV / JSON / log data"
• "Show me [a chart, filter, breakdown] of this data"
• "Build me a quick dashboard for X"
• "Help me find the rows where Y"
• Pasted tabular data with an implicit "do something useful with this"
• Log files where the question is "what happened around time T"

Output requirements

Data baked into the file as a JS object/array — no separate file to load, no fetch call. Filtering and charting happens entirely in the browser. Pre-aggregated views update live as filters apply.

If the dataset is large enough that inlining is awkward (>~5MB), still inline it but warn the user about file size; otherwise the artifact loses its "just send the link" superpower.