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Causal inference engine

Skill a5c-ai/babysitter/library/specializations/domains/science/scientific-discovery/skills/causal-inference-engine

Causal reasoning implementing DAG construction, do-calculus, and intervention effect estimationFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill causal-inference-engine

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SKILL.md

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Causal Inference Engine

Purpose

Provides causal reasoning capabilities implementing DAG construction, do-calculus, and intervention effect estimation.

Capabilities

  • Causal DAG construction and validation
  • Backdoor/frontdoor criterion checking
  • Average treatment effect estimation
  • Instrumental variable analysis
  • Mediation analysis
  • Sensitivity analysis for unmeasured confounding

Usage Guidelines

  1. DAG Construction: Build causal graphs from domain knowledge
  2. Identification: Check if effects are identifiable
  3. Estimation: Apply appropriate estimation methods
  4. Sensitivity: Assess robustness to unmeasured confounding

Tools/Libraries

  • DoWhy
  • CausalNex
  • pgmpy
  • EconML

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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