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Causal Design

Agent skill
1 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.

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

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
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Content SHA-256: 7281cf892085f27a45556abacf8b83c58ee7e5846c985822d2f3fdbd4fd01eda

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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.
Causal Design | Agent Skills Atlas