triz
TRIZ cross-domain analogical reasoning to find solutions from adjacent fields.
Profile →npx skills add majiayu000/claude-skill-registry --skill triz --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- When To Use
- When NOT To Use
- Depth Levels
- Workflow
- Field Mapping Strategy
What does the triz skill do?
TRIZ cross-domain analogical reasoning to find solutions from adjacent fields.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill triz --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.