Agent-Skills.md

Agent Skills: Causal Inference Engine

Causal inference skill for estimating treatment effects and understanding causal relationships in business data

forecastingID: a5c-ai/babysitter/causal-inference-engine

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/scientific-discovery/skills/causal-inference-engine

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/domains/science/scientific-discovery/skills/causal-inference-engine/SKILL.md

Skill Metadata

Name
causal-inference-engine
Description
Causal reasoning implementing DAG construction, do-calculus, and intervention effect estimation

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