How does this skill help with architectural design?

It provides 40 inventive principles adapted specifically for software, helping you restructure code, services, and data flows to bypass traditional architectural constraints.

When should I use the TRIZ Thinking skill in Claude Code?

Use it when you face 'impossible' trade-offs, such as needing high security without sacrificing UX, or when your current design has hit a fundamental performance or scaling limit.

Does this skill require prior knowledge of TRIZ?

No, the skill is designed to guide you through the process, helping you define the Ideal Final Result and suggesting relevant principles based on the specific contradiction you are facing.

What is TRIZ in the context of software engineering?

TRIZ is a systematic methodology for solving complex problems by identifying and resolving underlying contradictions (like speed vs. accuracy) rather than accepting traditional compromises.

TRIZ Thinking

Name: TRIZ Thinking
Author: tjboudreaux

bytjboudreaux

•

Productivity & Workflow

Resolves technical contradictions and breaks through engineering constraints using the Theory of Inventive Problem Solving (TRIZ).

TRIZ Thinking brings a world-class systematic innovation methodology to Claude Code, allowing developers to move beyond simple trade-offs and compromises. By identifying and resolving "impossible" contradictions—such as the need for a system to be both fast and thorough—this skill guides users through 40 software-adapted inventive principles and separation strategies to find breakthrough architectural solutions. It is an essential framework for when design hits a performance plateau, when requirements seem mutually exclusive, or when a system needs to reach its "Ideal Final Result" where the problem essentially solves itself.

Key Features

01Performs resource analysis to solve complex problems using existing system components and signals.

027 GitHub stars

03Applies 40 software-adapted inventive principles like segmentation, dynamization, and intermediaries.

04Defines the Ideal Final Result (IFR) to envision perfect, self-solving system outcomes.

05Implements separation strategies across Time, Space, Condition, and Scale for physical contradictions.

06Identifies and resolves technical contradictions without compromising on requirements.

Use Cases

01Designing scalable architectures that maintain strong consistency without sacrificing availability.

02Breaking through performance plateaus in high-throughput data processing systems.

03Resolving the 'Security vs. Usability' trade-off in complex authentication or authorization flows.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tjboudreaux/cc-thinking-skills thinking-triz

For use in Claude.ai and ChatGPT

Key Features

01Performs resource analysis to solve complex problems using existing system components and signals.

027 GitHub stars

03Applies 40 software-adapted inventive principles like segmentation, dynamization, and intermediaries.

04Defines the Ideal Final Result (IFR) to envision perfect, self-solving system outcomes.

05Implements separation strategies across Time, Space, Condition, and Scale for physical contradictions.

06Identifies and resolves technical contradictions without compromising on requirements.

Use Cases

01Designing scalable architectures that maintain strong consistency without sacrificing availability.

02Breaking through performance plateaus in high-throughput data processing systems.

03Resolving the 'Security vs. Usability' trade-off in complex authentication or authorization flows.