hummbl-framework

Provide the complete HUMMBL Base120 mental models framework across six transformations.

2|1|Updated Nov 1, 2025
One-click install
npx skills add https://github.com/hummbl-dev/HUMMBL-Unified-Tier-Framework --skill hummbl-framework
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hummbl-framework
Source: https://github.com/hummbl-dev/HUMMBL-Unified-Tier-Framework/tree/main/hummbl-framework
Command: npx skills add https://github.com/hummbl-dev/HUMMBL-Unified-Tier-Framework --skill hummbl-framework

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Navigating complex problems requires diverse thinking tools, but finding and applying the right mental models can be overwhelming. This skill provides a comprehensive, validated reference for the HUMMBL Base120 framework, making it easy to discover, understand, and apply 120 mental models across 6 transformations for any challenge.

Core Features & Use Cases

  • Complete Base120 Reference: Access all 120 validated mental models, categorized into 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems).
  • Model Selection Guidance (SY19): Get recommendations on which models to use based on the problem type, ensuring you apply the most effective thinking tools.
  • Application Templates: Step-by-step guides for applying each transformation, turning abstract models into actionable problem-solving processes.
  • Use Case: A strategist is facing a "super-wicked problem" and needs a structured approach to break it down and generate innovative solutions. This skill provides the entire HUMMBL framework, allowing them to systematically apply models like "First Principles" (P1), "Premortem" (IN8), and "Systems Thinking" (SY1) to gain clarity and develop a robust strategy.

Quick Start

Use the hummbl-framework skill to list the top 5 mental models for analyzing a complex system. Then, provide the application template for the "Decomposition Analysis" workflow.

Frequently Asked Questions about hummbl-framework

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

FAQPage Schema
How do mental models help solve complex problems?

Mental models are thinking frameworks that simplify complex problems by organizing how you analyze and approach them. The HUMMBL Base120 framework provides 120 validated models across six transformations—Perspective, Inversion, Composition, Decomposition, Recursion, and Meta-Systems—enabling you to systematically apply the right cognitive tool to any challenge.

What are the six transformations in the HUMMBL framework?

The six transformations are Perspective (viewing problems from different angles), Inversion (reversing assumptions), Composition (combining elements), Decomposition (breaking problems into parts), Recursion (applying patterns recursively), and Meta-Systems (analyzing systems thinking). Each transformation contains 20 mental models addressing different problem-solving scenarios.

How do I choose the right mental model for my problem?

Use the model selection guidance (SY19) to get recommendations based on your problem type. The framework matches problem characteristics to applicable models—for example, 'First Principles' for foundational analysis, 'Premortem' for risk anticipation, or 'Systems Thinking' for interconnected challenges—ensuring you apply effective thinking tools.

Can I apply these mental models step-by-step?

Yes. The framework includes application templates for each transformation, providing step-by-step guides that convert abstract models into actionable problem-solving workflows. Templates cover practical processes like Decomposition Analysis for breaking down complex systems and generating structured solutions.

What types of problems does the HUMMBL framework work for?

The framework addresses decision-making, strategy formulation, and super-wicked problems requiring diverse cognitive approaches. It covers analysis, problem decomposition, innovation generation, and quality assurance across business, research, and development contexts where structured mental models improve clarity and solution robustness.