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everyday-causal-skills

RobsonTigre/everyday-causal-skillsPlugin

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 in five steps, from refining the question you want to answer, to writing the report. You are free to pick and start from any step you like. → Describe your problem → Get a method recommendation → Check assumptions and structure the analysis → Stress-test the results → Write the executive report

Scanned · 2 to knowPluginSource: Anthropic community marketplace
83 stars +1 this week Updated 1mo ago License MIT
62popular

Why this score

Stars13/35
Usage (forks)4/15
Upkeep20/25
License15/15
Owner history10/10

Popularity score: 62/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 22, 2026 at commit 40cb9c17c993, first 300 source files (it's a large repo), with Cisco's open-source skill-scanner.

What its code does:

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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