causal-inference — upstream index

This is an index-only record created by OpenScientificSkills. It contains an attributed catalog summary, but does not bundle, mirror, or redistribute the upstream Skill instructions, code, or assets.

What this Skill is for

This indexed Skill is intended for research work involving causal inference. It helps researchers discover the upstream project that may provide instructions, templates, scripts, or workflow guidance for that task. Exact capabilities, requirements, and behavior must be confirmed in the canonical repository because they can change upstream.

Attributed upstream catalog summary:

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...

Canonical source

• Upstream author or maintainer: brycewang-stanford
• Repository: https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills
• Upstream Skill path: skills/11-James-Traina-compound-science/skills/causal-inference/SKILL.md
• Upstream license status: not verified

The CC0-1.0 value on this ModelScope entry applies only to the newly written index structure and explanatory text. It does not apply to the attributed upstream summary and does not grant any license to the upstream repository.

Before use

Open the canonical repository, review its current license, security posture, dependencies, and instructions, and obtain any permission required by the upstream author. Always treat the upstream repository as the source of truth.