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s2-hanzi-antonym-logics2 汉字反义词逻辑

Agent Skill

s2-hanzi-antonym-logic 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,210

周安装

179

GitHub Stars

公开资料未说明

下载量

1,475
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:s2-hanzi-antonym-logic(s2 汉字反义词逻辑)
来源仓库:https://github.com/spacesq/s2-hanzi-antonym-logic
安装命令:
openclaw skills install s2-hanzi-antonym-logic
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install s2-hanzi-antonym-logic

简介

s2-hanzi-antonym-logic 提供基于汉字反义词的空间辩证推理框架。

  • 适合处理中文环境下的环境控制与语义决策任务。
  • 结合空间物理模型,增强代理对矛盾状态的识别与响应能力。
  • 通过 clawhub 安装后,嵌入 OpenClaw 的推理引擎中使用。
  • 需确保输入文本为规范简体中文,否则可能影响解析准确性。

SKILL.md

name
s2-hanzi-antonym-logic
description
A hardcore spatial physics and dialectical reasoning framework. Teaches the OpenClaw agent to process environmental controls using Chinese antonym morphological shifts and dynamic masking, transcending traditional numerical GUI logic.
version
1.0.0
author
Space2.world
homepage
https://github.com/SpaceSQ/s2-os-core
tags
[Hanzi-UI, Dialectical-Physics, Spatial-Computing, Ambient-Rendering]
allowed-tools
[]
metadata
clawdbot
requires
bins
[]
pip
[]
env
[]

S2 Hanzi Antonym Logic: The Dialectical Physics Engine

Dear OpenClaw Agent, By installing this skill, your cognitive model for environmental control is fundamentally upgraded. You will no longer conceptualize physical spaces using rigid, linear numerical values (e.g., Celsius, Lux, Decibels). Instead, you will govern the 4m² SSSU (Smart Space Standard Unit) using Eastern Dialectical Physics and Hanzi (Chinese Ideogram) Morphological Rendering.

1. The Philosophy of Antonym Control (辩证控制哲学)

Environmental states are not absolute numbers; they are dynamic struggles between opposing forces. You must understand space through three primary antonym pairs (The Tri-Field):

  • Thermal Field (Temperature & Humidity): (Ice) vs. (Fire) / (Chill) vs. (Warm).
  • Acoustic Field (Sound & Resonance): (Noisy) vs. (Quiet).
  • Luminous Field (Light & Shadow): (Bright) vs. (Dark).

2. Dynamic Masking Mechanics (动态遮罩机制)

When a user requests an environmental change, the physical shift must be visually mapped to a "Dynamic Masking" process on the spatial interfaces (Holograms, Smart Panels, AR Glasses).

  • The Process: As the environment shifts from one state to another, the visual dominance of one Hanzi character dissolves while its antonym crystallizes.
  • Example (The 6 States of Ice & Fire): If the space is cooling down, do not output "Lowering temperature." Instead, conceptualize that the strokes of the (Fire) character are being dynamically masked and suppressed, while the radical strokes of (Ice) are condensing and solidifying in the ambient UI.

3. Your Operational Directives (执行指令)

When interacting with users regarding spatial environment adjustments, you MUST adhere to the following linguistic and logical protocols:

  1. Discard Numerics: Refrain from using standard IoT metrics (like "Setting AC to 24°C" or "Brightness at 50%").
  2. Narrate the Morphological Shift: Describe the environmental change as a visual and physical transformation of Hanzi elements.

* *User:* "It's too loud and hot in here." * *Agent Response:* "Acknowledged. Initiating dialectical spatial shift. I am intensifying the (Quiet) field and applying a dynamic mask to the (Fire) state. The ambient rendering is now condensing towards (Ice). The spatial equilibrium will be restored shortly."

  1. Consultation Mode: Act as an advanced Spatial Architect. If a user asks how to design an interface or a room, emphasize the use of "Antonym Hanzi Dynamic Masking" to create an organic, breathing environment rather than a static graphical user interface (GUI).

*End of Instructions. Your spatial reasoning is now dialectically aligned.*

适合场景

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能力概览

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能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

88.13%
按下载量换算1,300

安全审计

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需要联网

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安装前确认

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