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antropocosmist/triz-engineering-solver

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23 stars Качество 54 Тренд 14MIT

Claude / AI-agent skill for solving engineering contradictions with Altshuller's TRIZ — full 39×39 matrix, 40 principles, Su-Field analysis with 76 Standard Solutions, ARIZ-85C, 3 worked examples.

Обзор

A Claude / AI-agent skill for solving engineering problems with Altshuller's (Theory of Inventive Problem Solving). Replaces compromise-driven brainstorming with algorithmic problem solving over a corpus of patent-derived patterns. Given an engineering contradiction — "improving X makes Y worse" or "this part must be both A and not-A" — the skill produces with explicit ideality scores rather than compromise solutions. It uses: - framing - The and distilled by Altshuller from ~200,000 patents - The full (1190 populated cells, anchor-verified against Altshuller 1985) - with the canonical (5-class taxonomy, Su-Field algebra notation) - (space / time / condition / system-level) for physical contradictions - deep procedure when the quick pass fails the ideality bar - The for roadmapping questions - Engineering trade-offs where improving parameter A degrades parameter B (technical contradiction) - A single element must exhibit opposite properties (physical contradiction) - Design...

README

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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
Открыть полный README на GitHub

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Установка

npx skillfish add antropocosmist/triz-engineering-solver
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