
antropocosmist/triz-engineering-solver
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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.
概要
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
以下は原文 README の抜粋です。原文を見る。
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
推奨ツール
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インストール
npx skillfish add antropocosmist/triz-engineering-solver