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SkillHub ClubAnalyze Data & AIFull StackData / AI

data-profiler

Profile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet), discovering dataset properties, assessing data quality, or when user mentions data profiling, schema detection, data analysis, or quality metrics. Provides basic and intermediate profiling including distributions, uniqueness, and pattern detection.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
781
Hot score
99
Updated
March 20, 2026
Overall rating
C4.3
Composite score
4.3
Best-practice grade
B84.8

Install command

npx @skill-hub/cli install benchflow-ai-skillsbench-data-profiler

Repository

benchflow-ai/SkillsBench

Skill path: registry/terminal_bench_2.0/full_batch_reviewed/terminal_bench_2_0_multi-source-data-merger/environment/skills/data-profiler

Profile datasets to understand schema, quality, and characteristics. Use when analyzing data files (CSV, JSON, Parquet), discovering dataset properties, assessing data quality, or when user mentions data profiling, schema detection, data analysis, or quality metrics. Provides basic and intermediate profiling including distributions, uniqueness, and pattern detection.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: benchflow-ai.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install data-profiler into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/benchflow-ai/SkillsBench before adding data-profiler to shared team environments
  • Use data-profiler for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

data-profiler | SkillHub