Everyday Causal Skills

Causal-inference plugin for AI coding agents: method selection, assumption checks, robustness tests.

Pluginfree

Everyday Causal Skills is a plugin for AI coding agents that walks through a full causal-inference workflow: recommending the right statistical method for a given dataset, checking its assumptions, generating the analysis code in R or Python, and stress-testing the result. It covers methods like A/B testing, difference-in-differences, and regression discontinuity, and can translate a finding into an ROI verdict or a structured report. It's aimed at marketing, product, and data teams who need to know whether a change actually caused a result.

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