| name | triz |
| description | 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"
|
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
## 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
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
