Altshuller의 TRIZ(Inventive Problem Solving)과 엔지니어링 문제를 해결하는 Claude / AI-agent 기술. 특허 파생 패턴의 corpus를 해결하는 알고리즘 문제로 손상 구동 뇌를 대체합니다.

무엇 그것

엔지니어링 금전 - “improving X는 Y를 더 악화시킵니다” 또는 “이 부분은 A와 not-A” 둘 다이어야 합니다 — 기술 생성 3–5 콘크리트 발명 개념 타협 솔루션보다 명시적 이상 점수. 그것은 사용합니다:

• **Ideal Final Result (IFR) ** 프라이밍
• ** 39 엔지니어링 매개 변수 ** 및 ** 40 발명 원칙 ** ~200,000 특허의 Altshuller에 의해 증류
• 전체 ** 39 × 39 Contradiction Matrix ** (1190는 Altshuller 1985에 대한 앵커 검증) -Su-Field Analysis with the canonical76 Standard Solutions (5-class taxonomy, Su-Field algebra 표기)
• ** 분리 원리 ** (공간 / 시간 / 조건 / 시스템 수준) 물리적 금전
• **ARIZ-85C ** 빠른 패스가 이상적인 바를 실패 할 때 깊은 절차
• 엔지니어링 시스템 진화의 **8 동향 ** 로드맵에 대한

사용할 때

triz-engineering-solver

A Claude / AI-agent skill for solving engineering problems with Altshuller’s TRIZ (Theory of Inventive Problem Solving). Replaces compromise-driven brainstorming with algorithmic problem solving over a corpus of patent-derived patterns.

What it does

Given an engineering contradiction — “improving X makes Y worse” or “this part must be both A and not-A” — the skill produces 3–5 concrete inventive concepts with explicit ideality scores rather than compromise solutions. It uses:

• Ideal Final Result (IFR) framing
• The 39 engineering parameters and 40 inventive principles distilled by Altshuller from ~200,000 patents
• The full 39×39 Contradiction Matrix (1190 populated cells, anchor-verified against Altshuller 1985)
• Su-Field analysis with the canonical 76 Standard Solutions (5-class taxonomy, Su-Field algebra notation)
• Separation principles (space / time / condition / system-level) for physical contradictions
• ARIZ-85C deep procedure when the quick pass fails the ideality bar
• The 8 trends of engineering system evolution for roadmapping questions

When to use

• Engineering trade-offs where improving parameter A degrades parameter B (technical contradiction)
• A single element must exhibit opposite properties (physical contradiction)
• Design bottleneck where conventional optimisation has plateaued
• System redesign aimed at the Ideal Final Result

When NOT to use

• Pure software architecture without a physical analogue
• UX / interaction design
• Business or organisational strategy
• Open brainstorming with no concrete contradiction identified

The skill refuses with reframe when invoked on out-of-scope problems — see examples/anti_example_misframed.md.

Install

For Claude Code:

git clone https://github.com/Antropocosmist/triz-engineering-solver \
  ~/.claude/skills/triz-engineering-solver

For other agent runtimes (Anthropic SDK, OpenAI Assistants, LangGraph, custom): point the agent’s system prompt or tool router at SKILL.md and grant filesystem read access to this directory.

Repo layout

.
├── README.md
├── LICENSE                          MIT
├── CONTRIBUTING.md                  anchor-cell verification protocol, style rules
├── SKILL.md                         entry point — workflow, triggers, output template
├── resources/                       lazily-loaded reference data
│   ├── 39_parameters.md
│   ├── 40_principles.md
│   ├── 76_standard_solutions.md     full 5-class taxonomy with Su-Field algebra
│   ├── contradiction_matrix.json    full 39×39 Altshuller matrix (1190 cells)
│   ├── separation_principles.md     decision procedure for physical contradictions
│   ├── ariz_85c.md                  9-part deep-analysis procedure
│   ├── evolution_trends.md          8 trends + S-curve framing
│   ├── glossary.md