NumPy · Data analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files.

Oleafly/Oleafly

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).

cortega26/chile-hub

Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.

lingzhi227/agent-research-skills

Loads, cleans, aggregates and joins tabular data with pandas under a verification rule: every number reported must be one that the code actually printed.

pipeshub-ai/pipeshub-ai

Runs exploratory data analysis on tabular data after you confirm each column's measurement level, then writes CSV tables and a narrative summary.

TyrealQ/q-skills

Builds, fits, checks and compares Bayesian models in PyMC, from priors and NUTS sampling to variational inference, LOO and WAIC comparison, and diagnostics.

davila7/claude-code-templates

Analyzes CSV, Parquet and JSON data with DuckDB, Polars, numpy and matplotlib, preferring a persistent kernel over repeated one-shot processes.

code-yeongyu/oh-my-openagent

Analyze CSV/JSON data with statistics, filtering, and aggregation.

EXboys/skilllite