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causal-inference

This skill covers causal inference methods in observational and quasi-experimental settings.

Skill by brycewang-stanford

IndexedNOASSERTION★ 4,757
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/brycewang-stanford-causal-inference

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

This skill covers causal inference methods in observational and quasi-experimental settings. Use when the user is implementing, choosing between, or debugging causal identification strategies — including instrumental variables, difference-in-differences, regression discontinuity, synthetic control, or matching estimators. Triggers on "causal effect", "identification strategy", "instrumental variable", "2SLS", "GMM", "difference-in-differences", "DiD", "staggered treatment", "regression discontinuity", "RDD", "synthetic control", "matching", "propensity score", "IPW", "AIPW", "doubly robust", "LATE", "ATT", "ATE", "parallel trends", "exclusion restriction", "first stage", "weak instruments", or "endogeneity".

Use cases: ml

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/causal-inference

What's inside

Skill name
causal-inference
Description
This skill covers causal inference methods in observational and quasi-experimental settings. Use when the user is implementing, choosing between, or debugging causal identification strategies — including instrumental variables, difference-in-differences, regression discontinuity, synthetic control, or matching estimators. Triggers on "causal effect", "identification strategy", "instrumental variable", "2SLS", "GMM", "difference-in-differences", "DiD", "staggered treatment", "regression discontinuity", "RDD", "synthetic control", "matching", "propensity score", "IPW", "AIPW", "doubly robust", "LATE", "ATT", "ATE", "parallel trends", "exclusion restriction", "first stage", "weak instruments", or "endogeneity".
License
NOASSERTION
Instructions
220 lines in SKILL.md · view on GitHub

Files (4)

  • SKILL.md
  • method-implementations.md · references/
  • staggered-did.md · references/
  • synthetic-control.md · references/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from brycewang-stanford/Auto-Empirical-Research-Skills

Signals

Stars
4,757
Forks
556
Open issues
1
Last commit (this folder)
Apr 3, 2026 (6 months ago)
Last release
Jul 2, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
Repository
github.com/brycewang-stanford/Auto-Empirical-Research-Skills
Website
copaper.ai
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

causal-inference skill. Agent Mart. https://agentmart.dev/skills/brycewang-stanford-causal-inference (last updated 2026-10-24)