triz

Solid

Apply TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. Use when conventional approaches stall.

AI & Automation 297 stars 27 forks Updated today MIT

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Skill Content

# TRIZ Cross-Domain Analysis ## When To Use - Stuck on a problem and need perspectives from other domains - Exploring cross-domain analogies for inventive solutions ## When NOT To Use - Standard code search or literature review (use other tome channels) - Problems with obvious, well-known solutions Apply Altshuller's Theory of Inventive Problem Solving to find solutions from adjacent fields. ## Depth Levels | Depth | Fields | Analysis | |-------|--------|----------| | light | 1 | Contradiction only | | medium | 2 | Contradiction + field mapping | | deep | 3 | Full matrix + principles | | maximum | 5 | Distant fields + full TRIZ | ## Workflow 1. Abstract the problem into TRIZ formulation 2. Identify technical contradiction 3. Map to adjacent fields using Semantic Scholar's field taxonomy 4. Search for solved analogues in those fields 5. Build bridge mappings with rationale ## Field Mapping Strategy - Software architecture: civil engineering, biology - Data structures: logistics, materials science - Algorithms: operations research, genetics - Security: military strategy, immunology - Financial: game theory, ecology

Details

Author
athola
Repository
athola/claude-night-market
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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