mcpField
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triz

triz

github.com/thepexcelProductivity35 installs
Repository

About triz

An AI-oriented skill for applying TRIZ, the Theory of Inventive Problem Solving, to systematic innovation. It guides users from defining an ideal result and identifying contradictions to selecting principles, exploring cross-industry solutions, and evaluating feasibility.

Key features

  1. 01Six-step problem-solving process
  2. 02Technical and physical contradictions
  3. 0339-parameter mapping
  4. 0440 inventive principles
  5. 05Separation strategies
  6. 06FOS and MOS exploration

Use cases

  1. 01Resolving competing product requirements
  2. 02Finding alternatives to a failing system
  3. 03Exploring solutions from other industries
  4. 04Assessing an innovation's feasibility

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/thepexcel/agent-skills --skill triz

After installing, type/trizin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

SOURCES.md
.claude-plugin/
plugin.json
references/
39-parameters.md
40-principles.md
advanced.md
ai-prompts.md
examples.md
methodology.md

Details

From the project README

TRIZ Skill

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

Problem Routing

Problem TypeToolReference
"Improve A but B worsens"Contradiction Matrix40-principles.md
"Need opposite properties"Separation PrinciplesBelow
"System not working"Su-Field Analysisadvanced.md
"How will tech evolve?"Evolution Trendsadvanced.md
"What do others do?"FOS (cross-industry)ai-prompts.md
"Very complex problem"ARIZ Algorithmai-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:

#ParameterSoftware Equivalent
9SpeedPerformance, latency
27ReliabilityUptime, MTBF
33Ease of operationUX, usability
36ComplexityCode complexity
39ProductivityThroughput

Step 4: Top 10 Principles

#PrincipleModern Example
1SegmentationMicroservices
2Taking OutSeparation of concerns
10Preliminary ActionCaching
13The Other Way RoundEvent-driven vs polling
15DynamicsAdaptive algorithms
24IntermediaryMiddleware, adapters
25Self-ServiceSelf-healing systems
35Parameter ChangesTransform data format

Full list: 40-principles.md

Step 5: Physical Contradiction → Separation

SeparationStrategyExample
In TimeDifferent timesLanding gear: extend/retract
In SpaceDifferent locationsPencil: hard core, soft eraser
In ConditionDifferent conditionsSmart glass: transparent/opaque
In ScaleDifferent levelsWater: 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

## 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

TypeFileContent
Core40-principles.mdAll 40 principles + examples
Core39-parameters.mdAll 39 parameters
Advancedadvanced.mdSu-Field, 76 Standards, ARIZ, Evolution
AIai-prompts.mdReady-to-use prompt templates
AImethodology.mdTRIZ + LLM integration
Examplesexamples.mdCase 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

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