Claude-night-market triz

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

install

source · Clone the upstream repo

git clone https://github.com/athola/claude-night-market

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/athola/claude-night-market "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/tome/skills/triz" ~/.claude/skills/athola-claude-night-market-triz && rm -rf "$T"

manifest: plugins/tome/skills/triz/SKILL.md

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

Abstract the problem into TRIZ formulation
Identify technical contradiction
Map to adjacent fields using Semantic Scholar's field taxonomy
Search for solved analogues in those fields
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