data-analysis

data analysis

bytedance ↓ 2.8k
Claude Code
View source ↗

What it does

  • Inspect Excel/CSV file structure (sheets, columns, types, row counts)
  • Execute arbitrary SQL queries against uploaded data
  • Generate statistical summaries (mean, median, stddev, percentiles, nulls)
  • Support multi-sheet Excel workbooks (each sheet becomes a table)
  • Export query results to CSV, JSON, or Markdown
  • Handle large files efficiently with DuckDB's columnar engine
  • File location: Path(s) to uploaded Excel/CSV files under /mnt/user-data/uploads/

Requirements & configuration

  • You don't need to check the folder under /mnt/user-data

Configuration: DATE_TRUNCEXTRACT

Derived from the skill's own SKILL.md documentation · extracted 2026-07-23

data analysis

Source

Repository: https://github.com/bytedance/deer-flow

data-analysis FAQ

What does the data-analysis skill do?

Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown. Inspect Excel/CSV file structure (sheets, columns, types, row counts) Execute arbitrary SQL queries against uploaded data

What does data-analysis require?

You don't need to check the folder under /mnt/user-data Configuration keys: DATE_TRUNC, EXTRACT.

How do I install data-analysis?

Run: npx -y skills add https://github.com/bytedance/deer-flow --skill data-analysis --agent claude-code — the source lives at github.com/bytedance/deer-flow.

Maintain data-analysis?

Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.

[data-analysis on getagentictools](https://getagentictools.com/skills/bytedance-deer-flow-data-analysis?ref=badge)
npx agentictools info skills/bytedance-deer-flow-data-analysis

The second line is the CLI lookup for this page — handy in READMEs and docs.