reasoning-router

Route formal reasoning tasks across cognitive workflows using a decision tree.

7|3|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/Zpankz/mcp-skillset --skill reasoning-router-zpankz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reasoning-router
Source: https://github.com/Zpankz/mcp-skillset/tree/main/reasoning-router
Command: npx skills add https://github.com/Zpankz/mcp-skillset --skill reasoning-router-zpankz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Routes formal reasoning, thinking, and analysis tasks across cognitive workflows, simplifying complex deductions and analysis.

Core Features & Use Cases

  • Routing Decision Tree: Directs requests through cognitive categories (Cognitive Enhancement, Formal Reasoning, Universal Frameworks, Domain-Specific) based on triggers.
  • Managed Skills Catalog: Maintains a map of skills like think, AoT, AoT-light, reason, urf, ontolog, telos, qp with associated triggers.
  • Domain Adaptability: Supports domain-specific reasoning for physiology and other fields.

Quick Start

Route a complex reasoning task through the reasoning-router to obtain a structured analysis.

Frequently Asked Questions about reasoning-router

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

FAQPage Schema
How do I route complex reasoning tasks to the right cognitive workflow?

Route complex reasoning tasks using a routing decision tree that directs requests through cognitive categories like formal reasoning and universal frameworks to obtain structured analysis.

What is a routing decision tree for formal reasoning and how does it work?

A routing decision tree for formal reasoning directs requests across cognitive categories based on specific triggers, mapping them to managed skills to simplify complex deductions and analysis.

Can I use this formal reasoning router for domain-specific analysis like physiology?

Yes, the formal reasoning router supports domain-specific analysis by adapting its cognitive workflows and structured routing to specialized fields like physiology.

How do I decompose complex deductions across multiple managed reasoning skills?

Decompose complex deductions by referencing a managed skills catalog that maintains a map of skills like think, AoT, and reason with their associated triggers and activation mappings.

What's the best way to structure cognitive enhancement workflows for AI analysis?

Structure cognitive enhancement workflows by applying a universal framework router that categorizes and directs AI analysis tasks through a predefined cognitive decision tree.

When should I avoid using a cognitive routing decision tree for task decomposition?

Avoid using a cognitive routing decision tree when tasks require simple linear logic without complex deductions, as the structured routing overhead provides no analytical advantage.