update the readme

README.md

@@ -14,12 +14,12 @@
 
 Its design philosophy: **don't preload skills — evolve them.**
 
-Every time GenericAgent solves a new task, it automatically crystallizes the execution path into an SOP for direct reuse later. The longer you use it, the more skills accumulate — forming a skill tree that belongs entirely to you, grown from 3,300 lines of seed code.
+Every time GenericAgent solves a new task, it automatically crystallizes the execution path into an skill for direct reuse later. The longer you use it, the more skills accumulate — forming a skill tree that belongs entirely to you, grown from 3,300 lines of seed code.
 
 > **🤖 Self-Bootstrap Proof** — Everything in this repository, from installing Git and running `git init` to every commit message, was completed autonomously by GenericAgent. The author never opened a terminal once.
 
 ## 📋 Core Features
-- **Self-Evolving**: Automatically crystallizes each task into an SOP. Capabilities grow with every use, forming your personal skill tree.
+- **Self-Evolving**: Automatically crystallizes each task into an skill. Capabilities grow with every use, forming your personal skill tree.
 - **Minimal Architecture**: ~3,300 lines of core code. Agent Loop is just 92 lines. No complex dependencies, zero deployment overhead.
 - **Strong Execution**: Injects into a real browser (preserving login sessions). 7 atomic tools take direct control of the system.
 - **High Compatibility**: Supports Claude / Gemini / Kimi and other major models. Cross-platform.
@@ -31,14 +31,14 @@ This is what fundamentally distinguishes GenericAgent from every other agent fra
 
 ```
 [New Task] --> [Autonomous Exploration] (install deps, write scripts, debug & verify) -->
-[Crystallize Execution Path into SOP] --> [Write to Memory Layer] --> [Direct Recall on Next Similar Task]
+[Crystallize Execution Path into skill] --> [Write to Memory Layer] --> [Direct Recall on Next Similar Task]
 ```
 
 | What you say | What the agent does the first time | Every time after |
 |---|---|---|
-| *"Read my WeChat messages"* | Install deps → reverse DB → write read script → save SOP | **one-line invoke** |
-| *"Monitor stocks and alert me"* | Install mootdx → build selection flow → configure cron → save SOP | **one-line start** |
-| *"Send this file via Gmail"* | Configure OAuth → write send script → save SOP | **ready to use** |
+| *"Read my WeChat messages"* | Install deps → reverse DB → write read script → save skill | **one-line invoke** |
+| *"Monitor stocks and alert me"* | Install mootdx → build selection flow → configure cron → save skill | **one-line start** |
+| *"Send this file via Gmail"* | Configure OAuth → write send script → save skill | **ready to use** |
 
 After a few weeks, your agent instance will have a skill tree no one else in the world has — all grown from 3,300 lines of seed code.
 
@@ -192,8 +192,8 @@ python tgapp.py
 | **Deployment** | `pip install` + API Key | Multi-service orchestration | CLI + subscription |
 | **Browser Control** | Real browser (session preserved) | Sandbox / headless browser | Via MCP plugin |
 | **OS Control** | Mouse/kbd, vision, ADB | Multi-agent delegation | File + terminal |
-| **Self-Evolution** | Autonomous SOP growth | Plugin ecosystem | Stateless between sessions |
-| **Out of the Box** | 10 .py files + 5 SOPs | Hundreds of modules | Rich CLI toolset |
+| **Self-Evolution** | Autonomous skill growth | Plugin ecosystem | Stateless between sessions |
+| **Out of the Box** | 10 .py files + 5 skills | Hundreds of modules | Rich CLI toolset |
 
 
 ## 🧠 How It Works
@@ -205,7 +205,7 @@ GenericAgent accomplishes complex tasks through **Layered Memory × Minimal Tool
 
 - **L0 — Meta Rules**: Core behavioral rules and system constraints of the agent
 - **L2 — Global Facts**: Stable knowledge accumulated over long-term operation
-- **L3 — Task SOPs**: Workflows for completing specific task types
+- **L3 — Task Skillss**: Workflows for completing specific task types
 
 2️⃣ **Autonomous Execution Loop**
 
@@ -269,12 +269,12 @@ MIT License — see [LICENSE](LICENSE)
 
 它的设计哲学是：**不预设技能，靠进化获得能力。**
 
-每解决一个新任务，GenericAgent 就将执行路径自动固化为 SOP，供后续直接调用。使用时间越长，沉淀的技能越多，形成一棵完全属于你、从 3,300 行种子代码生长出来的专属技能树。
+每解决一个新任务，GenericAgent 就将执行路径自动固化为 Skill，供后续直接调用。使用时间越长，沉淀的技能越多，形成一棵完全属于你、从 3,300 行种子代码生长出来的专属技能树。
 
 > **🤖 自举实证** — 本仓库的一切，从安装 Git、`git init` 到每一条 commit message，均由 GenericAgent 自主完成。作者全程未打开过一次终端。
 
 ## 📋 核心特性
-- **自我进化**: 每次任务自动沉淀 SOP，能力随使用持续增长，形成专属技能树
+- **自我进化**: 每次任务自动沉淀 Skill，能力随使用持续增长，形成专属技能树
 - **极简架构**: ~3,300 行核心代码，Agent Loop 仅 92 行，无复杂依赖，部署零负担
 - **强执行力**: 注入真实浏览器（保留登录态），7 个原子工具直接接管系统
 - **高兼容性**: 支持 Claude / Gemini / Kimi 等主流模型，跨平台运行 
@@ -285,17 +285,17 @@ MIT License — see [LICENSE](LICENSE)
 
 ```
 [遇到新任务]-->[自主摸索](安装依赖、编写脚本、调试验证)-->
-[将执行路径固化为 SOP]-->[写入记忆层]-->[下次同类任务直接调用]
+[将执行路径固化为 Skill]-->[写入记忆层]-->[下次同类任务直接调用]
 ```
 
 | 你说的一句话 | Agent 第一次做了什么 | 之后每次 |
 |---|---|---|
-| *"监控股票并提醒我"* | 安装 mootdx → 构建选股流程 → 配置定时任务 → 保存 SOP | **一句话启动** |
-| *"用 Gmail 发这个文件"* | 配置 OAuth → 编写发送脚本 → 保存 SOP | **直接可用** |
+| *"监控股票并提醒我"* | 安装 mootdx → 构建选股流程 → 配置定时任务 → 保存 Skill | **一句话启动** |
+| *"用 Gmail 发这个文件"* | 配置 OAuth → 编写发送脚本 → 保存 Skill | **直接可用** |
 
 用几周后，你的 Agent 实例将拥有一套任何人都没有的专属技能树，全部从 3,300 行种子代码中生长而来。
 
-<!-- | *"帮我读取微信消息"* | 安装依赖 → 逆向数据库 → 写读取脚本 → 保存 SOP | **一句话调用** | -->
+<!-- | *"帮我读取微信消息"* | 安装依赖 → 逆向数据库 → 写读取脚本 → 保存 Skill | **一句话调用** | -->
 
 #### 🎯 实例展示
 
@@ -448,8 +448,8 @@ python tgapp.py
 | **部署方式** | `pip install` + API Key | 多服务编排 | CLI + 订阅 |
 | **浏览器控制** | 注入真实浏览器（保留登录态） | 沙箱 / 无头浏览器 | 通过 MCP 插件 |
 | **OS 控制** | 键鼠、视觉、ADB | 多 Agent 委派 | 文件 + 终端 |
-| **自我进化** | 自主生长 SOP 和工具 | 插件生态 | 会话间无状态 |
-| **出厂配置** | 10 个 .py + 5 个 SOP | 数百模块 | 丰富 CLI 工具集 |
+| **自我进化** | 自主生长 Skill 和工具 | 插件生态 | 会话间无状态 |
+| **出厂配置** | 10 个 .py + 5 个 Skills | 数百模块 | 丰富 CLI 工具集 |
 
 
 ## 🧠 工作机制
@@ -462,7 +462,7 @@ GenericAgent 通过**分层记忆 × 最小工具集 × 自主执行循环**完
 
 - **L0 — 元规则（Meta Rules）**：Agent 的基础行为规则和系统约束
 - **L2 — 全局事实（Global Facts）**：在长期运行过程中积累的稳定知识
-- **L3 — 任务 SOP（Standard Operating Procedure）**：完成特定任务的操作流程
+- **L3 — 任务 Skills（Standard Operating Procedure）**：完成特定任务的操作流程
 
 2️⃣ **自主执行循环**