About
This skill enables causal inference for AI systems, implementing Bengio's approach to interventional and counterfactual reasoning. It provides tools for building world models with causal structure using Python libraries like DoWhy, CausalML, and Pyro. Use this when you need System 2 deep learning capabilities that generalize across domains and resist distribution shifts.
Quick Install
Claude Code
Recommendednpx skills add plurigrid/asi -a claude-code/plugin add https://github.com/plurigrid/asigit clone https://github.com/plurigrid/asi.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 plurigrid. 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 ai.
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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