Triage any causal question to the identification strategy the data can support, then hand off to the owning method skill; owns the selection-on-observables branch (overlap, doubly robust estimation, double ML, causal forests, policy learning, sensitivity analysis) and the inference rules shared across designs. Produces the design recommendation with the assumption that licenses it, the estimand and its subpopulation, R estimation code for the observables branch, and a drafted taxonomy paragraph. TRIGGER on "causal inference", "identification strategy", "which method", "research design", "endogeneity", "quasi-experiment", "natural experiment", "observational study", "selection on observables", "unconfoundedness", "conditional ignorability", "matching", "propensity score", "doubly robust", "AIPW", "double machine learning", "DML", "causal forest", "CATE", "policy learning", "targeting", "sensitivity analysis", "omitted variable bias", "Oster bounds", "coefficient stability", "overlap", "trimming", "marketplace experiment", "surrogate index", "mediation", "mediation analysis", "indirect effect", or any "how do I estimate the effect of X on Y" question with no design chosen yet. Once a design is chosen, the method skills own it: field-experiment, did, synthetic-control, rdd, iv.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
Triage any causal question to the identification strategy the data can support, then hand off to the owning method skill; owns the selection-on-observables branch (overlap, doubly robust estimation, double ML, causal forests, policy learning, sensitivity analysis) and the inference rules shared across designs. Produces the design recommendation with the assumption that licenses it, the estimand and its subpopulation, R estimation code for the observables branch, and a drafted taxonomy paragraph. TRIGGER on "causal inference", "identification strategy", "which method", "research design", "endogeneity", "quasi-experiment", "natural experiment", "observational study", "selection on observables", "unconfoundedness", "conditional ignorability", "matching", "propensity score", "doubly robust", "AIPW", "double machine learning", "DML", "causal forest", "CATE", "policy learning", "targeting", "sensitivity analysis", "omitted variable bias", "Oster bounds", "coefficient stability", "overlap", "trimming", "marketplace experiment", "surrogate index", "mediation", "mediation analysis", "indirect effect", or any "how do I estimate the effect of X on Y" question with no design chosen yet. Once a design is chosen, the method skills own it: field-experiment, did, synthetic-control, rdd, iv.
Quick start
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Triage any causal question to the identification strategy the data can support, then hand off to the owning method skill; owns the selection-on-observables branch (overlap, doubly robust estimation, double ML, causal forests, policy learning, sensitivity analysis) and the inference rules shared across designs. Produces the design recommendation with the assumption that licenses it, the estimand and its subpopulation, R estimation code for the observables branch, and a drafted taxonomy paragraph. TRIGGER on "causal inference", "identification strategy", "which method", "research design", "endogeneity", "quasi-experiment", "natural experiment", "observational study", "selection on observables", "unconfoundedness", "conditional ignorability", "matching", "propensity score", "doubly robust", "AIPW", "double machine learning", "DML", "causal forest", "CATE", "policy learning", "targeting", "sensitivity analysis", "omitted variable bias", "Oster bounds", "coefficient stability", "overlap", "trimming", "marketplace experiment", "surrogate index", "mediation", "mediation analysis", "indirect effect", or any "how do I estimate the effect of X on Y" question with no design chosen yet. Once a design is chosen, the method skills own it: field-experiment, did, synthetic-control, rdd, iv.
About this listing
Category
Science & research
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.