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.