← 返回 Skills 市场
103
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install nm-tome-triz
功能描述
Apply TRIZ cross-domain analogical reasoning to find solutions from adjacent fields
安全使用建议
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.
功能分析
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.
能力标签
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install nm-tome-triz - 安装完成后，直接呼叫该 Skill 的名称或使用
/nm-tome-triz触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
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.
元数据
常见问题
Nm Tome Triz 是什么？
Apply TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 103 次。
如何安装 Nm Tome Triz？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nm-tome-triz」即可一键安装，无需额外配置。
Nm Tome Triz 是免费的吗？
是的，Nm Tome Triz 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nm Tome Triz 支持哪些平台？
Nm Tome Triz 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Nm Tome Triz？
由 athola（@athola）开发并维护，当前版本 v1.0.0。
推荐 Skills