Causal Inference Review

---
name: causal-inference-review
description: Assess whether available observational or quasi-experimental evidence supports a causal conclusion and select a defensible identification strategy when possible.
---
# Causal Inference Review

Use when this procedure is the primary professional method needed for the assignment.

## Procedure
1. Confirm the decision or outcome this work must support, its scope, owner, constraints, and definition of success.
2. Establish the evidence baseline using treatment/exposure timing, outcome data, covariates, assignment mechanism, policy changes, and domain assumptions. Do not fill material gaps with assumptions when they can change the result.
3. Draw causal assumptions, identify confounders/colliders, test design feasibility, apply suitable matching/adjustment/IV/diff-in-diff logic, and run falsification/sensitivity checks.
4. Exercise realistic edge, failure, transition, or exception cases that could invalidate the result; record unresolved uncertainty explicitly.
5. Validate the output against the original outcome and any neighboring professional contracts so this skill does not silently absorb another specialist's authority.
6. Record the resulting artifact, measurements, decisions, provenance, and handoff information needed for another owner to reproduce or continue the work.

## Quality gate
Causal language is limited to what the identification assumptions and sensitivity evidence can support.