How to Get Started with Causal Inference in Your AI Workflow

Causal Inference is a powerful AI agent skill that extends your assistant with new capabilities. Add causal reasoning to agent actions. Trigger on ANY high-level action with observable outcomes - emails, messages, calendar changes, file operations, API calls, notifications, reminders, purchases, deployments. Use for planning interventions, debugging failures, predicting outcomes, backfilling historical data for analysis, or answering "what happens if I do X?" Also trigger when reviewing past actions to understand what worked/failed and why. This guide walks you through installing Causal Inference, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Causal Inference: npx clawhub@latest --dir ~/.claude/skills install causal-inference

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to communication to trigger Causal Inference

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Causal Inference with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Causal Inference

More Use Cases for Causal Inference