reasoning-causal

Execute six-stage causal reasoning from Input to Learning for operational decisions.

37|5|Updated Nov 18, 2025
One-click install
npx skills add https://github.com/BellaBe/lean-os --skill reasoning-causal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reasoning-causal
Source: https://github.com/BellaBe/lean-os/tree/main/.claude/skills/reasoning-causal
Command: npx skills add https://github.com/BellaBe/lean-os --skill reasoning-causal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Executes structured cause-and-effect reasoning to inform decisions and actions.

Core Features & Use Cases

  • Stage-based reasoning: 6-stage flow from Input to Learning.
  • Learning integration: Updates goals/canvas with outcomes.
  • Thread binding: Links to goal/subgoal threads.

Quick Start

Provide a Stage 1 observation; returns initial hypothesis and plan.

Frequently Asked Questions about reasoning-causal

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure cause-and-effect reasoning to make better operational decisions?

Causal reasoning applies a 6-stage flow—Input, Hypothesis, Implication, Decision, Actions, Learning—to systematically trace cause-effect chains in known processes. Each stage produces artifacts and explicit reasoning steps, turning observations into evidence-based decisions and updating your goals with outcomes.

What's the difference between hypothesis testing and reactive decision-making?

Canvas hypothesis testing lets you structure assumptions upfront before deciding; reactive threads respond to immediate observations. Both approaches feed the same 6-stage flow, so you choose based on whether you're testing planned scenarios or responding to live operational changes.

Can I link causal reasoning to goals and subgoals?

Yes. Thread binding connects your reasoning directly to goal or subgoal threads, so outcomes automatically update your goals and track learning across decisions. This keeps cause-effect analysis tied to what you're actually trying to achieve.

How do I start if I only have an initial observation?

Provide a Stage 1 observation—any operational fact or trigger. The Skill returns an initial hypothesis and action plan, then guides you through the remaining five stages with stage-specific prompts and output formats.

When should I use this instead of intuition or simple checklists?

Use causal reasoning when decisions involve explicit cause-effect chains in known processes and you need to track reasoning, test assumptions, and learn from outcomes. It's designed for operational execution where evidence and stage-by-stage artifacts matter more than speed.