triz

Original：🇺🇸 English

Translated

TRIZ systematic innovation methodology with AI-enhanced prompts. Use when: (1) Technical contradiction - improve A but B worsens, (2) Physical contradiction - need opposite properties, (3) Cross-industry solutions via FOS/MOS, (4) Technology evolution prediction, (5) Complex engineering problems. Triggers: "TRIZ", "contradiction", "inventive", "trade-off", "improve without worsening", "ข้อขัดแย้งทางเทคนิค", "innovation breakthrough"

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Sourcethepexcel/agent-skills

Added on2026-02-07

NPX Install

npx skill4agent add thepexcel/agent-skills triz

SKILL.md Content

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TRIZ Skill

Systematic innovation via Theory of Inventive Problem Solving. AI-enhanced.

Problem Routing

Problem Type	Tool	Reference
"Improve A but B worsens"	Contradiction Matrix	40-principles.md
"Need opposite properties"	Separation Principles	Below
"System not working"	Su-Field Analysis	advanced.md
"How will tech evolve?"	Evolution Trends	advanced.md
"What do others do?"	FOS (cross-industry)	ai-prompts.md
"Very complex problem"	ARIZ Algorithm	ai-prompts.md

6-Step Process

1. DEFINE IFR    → "The [system] ITSELF [does X] WITHOUT [cost/harm]"
2. IDENTIFY      → What contradiction? (Technical or Physical)
3. MAP           → Which of 39 parameters? [39-parameters.md]
4. RETRIEVE      → Matrix suggests which principles?
5. GENERATE      → Apply each principle specifically
6. EVALUATE      → Feasibility? Implementation?

Step 1: Ideal Final Result (IFR)

"The [object] ITSELF [performs function] WITHOUT [cost/harm/complexity]"

Formula:

Ideality = Benefits / (Cost + Harm)

Examples:

"The pipe itself prevents leaks" (not: add sensors)
"The code itself fixes bugs" (not: add more tests)

Step 2: Identify Contradiction

Technical: Improving A worsens B

"If we [improve A], then [B gets worse]"
→ ถ้าเราทำให้รถเร็วขึ้น, ประสิทธิภาพน้ำมันแย่ลง

Physical: Same element needs opposite properties

"[Element] must be [Property] for X AND [Opposite] for Y"
→ API ต้อง complex (power users) AND simple (beginners)

Step 3: Map to 39 Parameters

See 39-parameters.md. Common ones:

#	Parameter	Software Equivalent
9	Speed	Performance, latency
27	Reliability	Uptime, MTBF
33	Ease of operation	UX, usability
36	Complexity	Code complexity
39	Productivity	Throughput

Step 4: Top 10 Principles

#	Principle	Modern Example
1	Segmentation	Microservices
2	Taking Out	Separation of concerns
10	Preliminary Action	Caching
13	The Other Way Round	Event-driven vs polling
15	Dynamics	Adaptive algorithms
24	Intermediary	Middleware, adapters
25	Self-Service	Self-healing systems
35	Parameter Changes	Transform data format

Full list: 40-principles.md

Step 5: Physical Contradiction → Separation

Separation	Strategy	Example
In Time	Different times	Landing gear: extend/retract
In Space	Different locations	Pencil: hard core, soft eraser
In Condition	Different conditions	Smart glass: transparent/opaque
In Scale	Different levels	Water: liquid macro, molecules nano

Creative Mode: FOS/MOS

Function Oriented Search (FOS): Find how OTHER industries solve same function.

1. ABSTRACT → "Remove ice" → "Separate materials"
2. SEARCH → Find 5+ industries with similar function
3. TRANSFER → Adapt mechanism to your problem

Method Oriented Search (MOS): Apply known method to NEW domains.

See ai-prompts.md for detailed prompts.

Output Format

markdown

## Problem: [Restated]

## IFR: "The [system] itself [does X] without [cost/harm]"

## Contradiction:
- Type: Technical / Physical
- Improving: Parameter #__
- Worsening: Parameter #__

## Principles: [#, #, #]

## Solutions:
### Principle #X: [Name]
- Application: [How]
- Idea: [Concrete solution]
- Feasibility: High/Medium/Low

## Next Steps:
1. [Prototype which solution]
2. [Validation approach]

References

Type	File	Content
Core	40-principles.md	All 40 principles + examples
Core	39-parameters.md	All 39 parameters
Advanced	advanced.md	Su-Field, 76 Standards, ARIZ, Evolution
AI	ai-prompts.md	Ready-to-use prompt templates
AI	methodology.md	TRIZ + LLM integration
Examples	examples.md	Case studies (Samsung, SpaceX, Netflix)

Related Skills

```
/generate-creative-ideas
```
— Complement with broader brainstorming
```
/deep-research
```
— Research cross-industry solutions (FOS/MOS)
```
/boost-intel
```
— Evaluate trade-offs systematically
```
/problem-solving
```
— Structure the problem before applying TRIZ