What is the Thinking Model Selection skill?

It is a framework for Claude Code that helps users identify the best mental model or cognitive strategy to solve a specific problem or make a complex decision effectively.

How does this help with software development?

It provides a structured way to choose the right approach for debugging, architectural design, and risk assessment by matching the problem's complexity to a proven framework.

When is the best time to use this skill?

Use it when you are stuck on a difficult problem, facing a high-stakes decision, or when your current analytical approach is failing to produce actionable insights.

Which mental models does this skill support?

The skill supports a wide range of frameworks including First Principles, Systems Thinking, OODA loops, Bayesian analysis, Pre-mortems, TRIZ, and the 5 Whys.

Thinking Model Selection

Name: Thinking Model Selection
Author: tjboudreaux

bytjboudreaux

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生产力与工作流

Optimizes problem-solving by identifying and applying the most effective mental models and critical thinking frameworks for any technical or strategic challenge.

Thinking Model Selection is a meta-cognitive framework for Claude Code that helps users navigate complex problem spaces by matching specific challenges to proven mental models. By classifying problems based on dimensions like predictability, complexity, and reversibility, this skill guides the selection of frameworks such as First Principles, Systems Thinking, or OODA loops. It ensures that analytical approaches are tailored to the specific context, preventing cognitive bias and improving the quality of architectural decisions, debugging strategies, and strategic planning.

主要功能

01Detailed selection matrices for frameworks like TRIZ, Cynefin, and 5 Whys

02Multi-dimensional problem classification across predictability, complexity, and stakes

03Categorized mapping to diagnostic, probabilistic, generative, and systems models

04Standardized templates for documenting decision-making rationale and selection logic

057 GitHub stars

06Failure mode indicators to detect when a mental model is being overused or misapplied

使用场景

01Shifting from linear root cause analysis to systems thinking for complex, intermittent bugs

02Selecting the right framework for high-stakes architectural decisions with low reversibility

03Applying first principles to break through technical assumptions during the product discovery phase

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tjboudreaux/cc-thinking-skills thinking-model-selection

For use in Claude.ai and ChatGPT

Download Skill