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Install in OpenClaw
/install nm-tome-triz
Description
Apply TRIZ cross-domain analogical reasoning to find solutions from adjacent fields
Usage Guidance
This is an instruction-only TRIZ helper that asks the agent to reason by analogy and (optionally) consult literature taxonomies like Semantic Scholar. It does not request credentials or install code. If you rely on it to query external databases, confirm your agent has appropriate, trusted web/search capabilities and be aware it may use public web searches to find analogues. If you want it to use a specific API (e.g., Semantic Scholar) you should provide and vet any API keys separately before enabling such behavior.
Capability Analysis
Type: OpenClaw Skill
Name: nm-tome-triz
Version: 1.0.0
The skill bundle contains only metadata and documentation (SKILL.md) for performing TRIZ cross-domain analogical reasoning. There is no executable code, no network requests, and no instructions that attempt to exfiltrate data or compromise the agent's security. The content is entirely focused on guiding the AI through a specific problem-solving methodology.
Capability Tags
Capability Assessment
Purpose & Capability
Name, description, and content all describe applying TRIZ-style cross-domain analogies; the skill requests no binaries, env vars, or installs that would be disproportionate to that goal.
Instruction Scope
SKILL.md stays on-topic: it instructs the agent to abstract problems, identify contradictions, map fields (mentions Semantic Scholar's taxonomy), and search for analogues. It does not instruct the agent to read unrelated files, exfiltrate data, or require credentials. Note: it suggests using external literature/search resources but does not require or configure any specific API keys.
Install Mechanism
No install spec and no code files — instruction-only. This has the lowest risk surface because nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no environment variables, secrets, or config paths. There are no disproportionate credential or system-access requests relative to the stated purpose.
Persistence & Privilege
always:false and default autonomous invocation settings are used. The skill does not request permanent presence or modification of other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-tome-triz - After installation, invoke the skill by name or use
/nm-tome-triz - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the TRIZ cross-domain analysis skill.
- Enables analogical reasoning using Altshuller's TRIZ methodology to solve problems with insights from adjacent fields.
- Offers multiple depth levels, from basic contradiction analysis to full TRIZ matrix with distant field mapping.
- Provides a workflow for problem abstraction, contradiction identification, cross-domain searching, and rationale-based mapping.
- Includes field mapping strategies linking software concepts to fields like engineering, genetics, logistics, and military strategy.
- Best used when conventional approaches stall or innovative, cross-disciplinary perspectives are needed.
Metadata
Frequently Asked Questions
What is Nm Tome Triz?
Apply TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. It is an AI Agent Skill for Claude Code / OpenClaw, with 103 downloads so far.
How do I install Nm Tome Triz?
Run "/install nm-tome-triz" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Tome Triz free?
Yes, Nm Tome Triz is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Tome Triz support?
Nm Tome Triz is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Tome Triz?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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