Causal Inference Engine

SkillAI & models

Causal reasoning implementing DAG construction, do-calculus, and intervention effect estimation

Use Causal Inference Engine in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Causal Inference Engine skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Causal Inference EngineStart free

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/causal-inference-engine/SKILL.md and read by Ahel’s review.

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

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

Tools/Libraries

DoWhy
CausalNex
pgmpy
EconML

Signals

GitHub stars: 2k
Forks: 113
Last commit: Sep 2026

Advanced

Item type: skill
Key: causal-inference-engine
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter