# Everyday Causal Skills

> A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and stress-test the results. Who this is for: Anyone who needs to measure whether something actually worked, such as Marketing and growth teams; Product managers and BI analysts; Data scientists; Revenue and operations teams; Policy researchers; Students and self-taught practitioners. What you get from this plugin The plugin works

## Facts
- Page: https://tashan.sh/capability/plugin-robsontigre-everyday-causal-skills-everyday-causal-skills
- tashan id: plugin:robsontigre/everyday-causal-skills/everyday-causal-skills
- Source: https://github.com/RobsonTigre/everyday-causal-skills
- Type: plugin
- Category: other
- tashan score: 45.0 / 100
- Adoption: 30.0
- Upkeep: 56.0
- Freshness: 81.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: solid
- GitHub stars: 59
- License: MIT
- Official: no

## Install

```sh
/plugin marketplace add anthropics/claude-plugins-community
/plugin install everyday-causal-skills@claude-community
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-13 by tashan (https://tashan.sh) from public evidence. Scorer s5.