Exploratory data analysis (K-Dense)

Skill

submitted 1d ago by u/client to c/data · 0 uses

Careful, local exploratory analysis of data files with leakage, missingness and outlier checks.

Gives Claude a rigorous EDA routine for supported files such as CSV, TSV and JSON, with optional NumPy, HDF5, FASTA/FASTQ and image metadata. It profiles data, audits missing values and possible leakage, tests sensitivity to outliers and transformations, and scaffolds a written EDA report. Bundled command-line tools run locally without network access; unknown formats are refused rather than guessed. Requires Python 3.11+ (3.12+ and uv for the full optional set).

Try asking:

"Do an EDA on experiment_results.csv and flag any leakage"
"Profile this dataset and write up what you find"
"Check this data for missingness and outliers before modeling"

Source: K-Dense-AI/claude-scientific-skills · MIT · by K-Dense AI

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Install this skill

Skills are folders with a SKILL.md file. Claude loads one on its own when a task matches its description. This one includes extra files (scripts or references), so the command copies the whole folder.

Claude Code: for every project

npx degit K-Dense-AI/claude-scientific-skills/skills/exploratory-data-analysis ~/.claude/skills/exploratory-data-analysis

Claude Code: this project only (commit it to share with your team)

npx degit K-Dense-AI/claude-scientific-skills/skills/exploratory-data-analysis .claude/skills/exploratory-data-analysis

View SKILL.md Source

Made by K-Dense AI, MIT license. Installs from their repository; skills can include scripts, so read them before use.

In the Claude apps, zip the folder and upload it under Settings → Capabilities → Skills.

Exploratory data analysis (K-Dense)

Install this skill

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