About
This skill enables causal analysis to determine treatment effects and policy impacts using methods like propensity scoring and causal graphs. It's designed for evaluating interventions when randomized experiments aren't possible, controlling for confounding variables in observational data. Developers can use it to move beyond correlation and establish cause-and-effect relationships from their data.
Quick Install
Claude Code
Recommendednpx skills add NeverSight/skills_feed -a claude-code/plugin add https://github.com/NeverSight/skills_feedgit clone https://github.com/NeverSight/skills_feed.git ~/.claude/skills/Causal InferenceCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the Causal Inference skill?
Causal Inference is a Claude Skill by NeverSight. Skills package instructions and resources that Claude loads on demand, so Claude can perform Causal Inference-related tasks without extra prompting.
How do I install Causal Inference?
Use the install commands on this page: add Causal Inference to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does Causal Inference belong to?
Causal Inference is in the Other category, tagged general.
Is Causal Inference free to use?
Yes. Causal Inference is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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