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
Works with: Claude Code, Cursor, Claude Desktop, Codex CLI, Gemini CLI, Cline, Windsurf, VS Code
Category: Dev Tools & CI — see all ranked ›
Work: Statistical modelling · Attribution
Who it is for: Data analyst · Scientist · Marketer / growth
- tashan score: 53.0
- Adoption: 1 repos
- Health: active
- GitHub stars: 59
- Contributors: 1
- License: MIT
Security audit
Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.
source ↗ · plugin:robsontigre/everyday-causal-skills/everyday-causal-skills
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