Community · by K-Dense-AI
Exploratory data analysis Claude skill
The Exploratory data analysis skill helps an AI assistant inspect local scientific data files through bounded profiling, audits, and report scaffolds.
- MIT licence
- ★ 52,864 on GitHub (whole repository)
- Verified against its source 19 Oct 2026
What the Exploratory data analysis skill does
It lets the assistant run bounded, local exploratory analysis on explicitly supported scientific files, such as redacted CSV, TSV, and JSON profiles, with optional inspection of NumPy, HDF5, FASTA/FASTQ, and basic image metadata. It can also check for missingness and leakage, test outlier and transformation sensitivity, and produce EDA report scaffolds. It is meant for inspecting authorized local data before modeling or confirmatory inference, and unknown formats fail closed.
What it covers
- Redacted CSV/TSV/JSON profiles
- Optional NumPy, HDF5, FASTA/FASTQ, image metadata inspection
- Missingness and leakage audits
- Outlier and transformation sensitivity
- EDA report scaffolds
How to install it
What you need
- “Bundled core CLIs require Python 3.11+ and are local/network-free”