name: Query tabular data tagline: Ask a question about a CSV, spreadsheet, export, or data folder. summary: Use Codex with a CSV, spreadsheet, dashboard export, Google Sheet, or local data file to answer a question, create a browser visualization, and save the result. skills:
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token: $spreadsheet description: Inspect tabular data, run calculations, and create charts or tables.
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token: google-sheets url: /codex/plugins description: Analyze approved Google Sheets when the data lives in a shared spreadsheet. bestFor:
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Questions that can be answered through a quick calculation, chart, table, or short summary.
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Roles that need to analyze data and create visualizations. starterPrompt: title: Ask a Question body: |- Analyze @sales-export.csv
Question: Which customer segment changed the most last quarter?
Please:
- inspect the columns before analyzing
- answer the question from the data
- create a simple browser visualization as an HTML file
- start a local preview so I can open it in the Codex browser suggestedEffort: low relatedLinks:
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label: File inputs url: /api/docs/guides/file-inputs
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label: Agent skills url: /codex/skills
Analyze the data
Use Codex when you have a CSV, spreadsheet, dashboard export, Google Sheet, or local data file and want to answer a question from it. Start with the file and the question. Codex can inspect the columns, run the analysis, and create a browser visualization you can open in the Codex app.
- Attach the file or mention the connected data source.
- Ask the question you want answered.
- Have Codex inspect the columns, run the calculation, and create an HTML visualization.
- Open the local preview in the Codex browser, then continue in the same thread to adjust the chart or slice the data another way.
Use @ to attach the CSV or mention the Google Sheet. If the data came from a dashboard, export the rows first so Codex can inspect the raw columns.
Follow-up analysis
After Codex gives you the first answer, ask for the next comparison you would normally check.
You can keep going in the same thread: clean a column, exclude a test segment, compare two time windows, make the chart easier to read, or turn the result into a short note for a meeting.