everyday-causal-skills
Robson Tigre v0.6.0
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. W...
From the developer
License
MIT
Works with
Claude Code
Description
From the marketplace listing
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
What changed
No changes recorded yet. Follow this plugin to keep track of future changes.
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Keywords
Files & skills
everyday-causal-skills · catalog manifest
Saved declaration
{}
everyday-causal-skills · catalog manifest
Saved declaration
{
"name": "everyday-causal-skills",
"source": {
"sha": "40cb9c17c9932c8db88cc09ac5be08cbc53a151f",
"url": "https://github.com/RobsonTigre/everyday-causal-skills.git",
"source": "url"
},
"homepage": "https://github.com/RobsonTigre/everyday-causal-skills",
"description": "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.\n\nWho 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.\n\nWhat you get from this plugin\nThe 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.\n\n→ Describe your problem\n→ Get a method recommendation\n→ Check assumptions and structure the analysis\n→ Stress-test the results\n→ Write the executive report"
}
everyday-causal-skills · catalog manifest
Saved declaration
{
"name": "everyday-causal-skills",
"author": {
"name": "Robson Tigre"
},
"license": "MIT",
"version": "0.6.0",
"keywords": [
"causal-inference",
"econometrics",
"experiment-design",
"ab-testing",
"difference-in-differences",
"instrumental-variables",
"regression-discontinuity",
"synthetic-control",
"treatment-effects",
"impact-evaluation",
"incrementality",
"lift-measurement",
"quasi-experiment",
"program-evaluation",
"counterfactual-analysis",
"dag",
"causal-graph",
"backdoor",
"collider",
"heterogeneous-treatment-effects",
"cate",
"causal-forest",
"policy-learning",
"personalization",
"targeting",
"causal-report",
"publication-ready",
"executive-summary",
"causal-roi",
"incremental-roi",
"breakeven",
"business-case"
],
"repository": "https://github.com/RobsonTigre/everyday-causal-skills",
"description": "Causal inference plugin: plan, implement, and stress-test causal analyses in R and Python."
}
plugin.json observed Nov 6, 2026 · 10:43 UTC. Manifest source ↗
Catalog declarations and available plugin.json metadata are saved. Referenced skills and executable source files are not downloaded or tested. Missing components in a manifest do not prove that the plugin has none.
Installation instructions
Community
/plugin marketplace add anthropics/claude-plugins-community
/plugin install everyday-causal-skills@claude-communityTechnical details
- Sources
- Community
- First seen
- Oct 3, 2026 · 22:13 UTC
- Last seen
- Nov 8, 2026 · 00:00 UTC
- Latest observed change
- Oct 3, 2026 · 22:13 UTC
- Collection status
- Listed
- Reported installs
- Not provided
Installation counts are source-reported, not independently verified active users. Observation dates are not release dates.
Download plugin data (JSON)Plugin history: freshly prepared. Prepared . Refreshed when catalog data changes or after 6 hours. Your account and Follow status are live.