AI Agent Productivity Program - Intermediate Level

AI智能体提效——中级班

Artificial intelligence is reshaping the workplace at an unprecedented speed. AI is no longer an optional future choice, but a present necessity for improving work quality and efficiency. However, many professionals have heard of AI but have not used it well. They remain at the simple-chat stage and have yet to release AI's real productivity.

人工智能技术正以前所未有的速度重塑职场生态。AI不再是未来的"可选项"，而是当下提升工作质效的"必需品"。然而，许多职场人士虽"听过"AI，却未"用好"AI——停留在简单对话阶段，远未释放AI的真正生产力。

The core idea of this course is: AI is not here to replace you, but to turn your SOPs into tools. The course does not discuss abstract theory. It focuses only on practical workplace scenarios and productivity improvement. Starting from cognitive alignment in the Agent era, it systematically covers the agent landscape, Skill capability packaging, Workbuddy desktop Agent practice, and the methodology for turning SOPs into tools, helping learners master a new AI-era work methodology from awareness to decomposition to tooling.

本课程的核心理念是：AI不是来替代你的，而是来把你的SOP变成工具的。课程不谈空泛理论，只聚焦职场场景下的"实战"与"提效"。从Agent时代的认知对齐出发，系统讲授智能体全景图、Skill能力封装、Workbuddy桌面Agent深度实战，以及SOP工具化落地方法论，帮助学员掌握一套从"觉察→拆解→工具化"的AI时代新工作方法论。

This course is suitable for most industries and roles. It helps learners systematically master the full methodology and practical techniques of Agent-enabled work, internalize AI as an efficient workplace co-pilot, and achieve a leap in individual and organizational productivity.

本课程适用于大多数行业与岗位，旨在帮助学员系统性掌握Agent赋能工作的全流程方法论与实操技巧，真正将AI内化为高效的"职场副驾"，实现个人与组织生产力的跨越式提升。

• Build an Agent-wide view: Understand the essence and limits of AI, master the tool evolution logic from ChatBot to Agent, and build a cognitive framework for the Agent era.

     建立Agent全局观：理解AI本质与局限，掌握从ChatBot到Agent的工具进化逻辑，构建Agent时代认知框架

• Master Skill packaging: Package personal business experience into reusable AI Skill capability packs and turn them into team assets

      精通Skill封装：将个人业务经验封装为可复用的AI Skill能力包，沉淀为团队资产

• Deeply use Workbuddy: Master Claw mode, memory, expert systems, and automation tasks to build a dedicated intelligent assistant

      深度驾驭Workbuddy：掌握Claw模式、记忆系统、专家系统与自动化任务，打造专属智能助手

• Turn SOPs into tools: Use Coze programming, Miaoda, Trae, and other platforms to turn work processes into dedicated digital tools with no code

·      实现SOP工具化：通过扣子编程、秒哒、Trae等平台，零代码将工作流程变成专属数字工具

• Produce practical outputs: Leave the course with reusable Skills, Agent configurations, and tooling applications

      产出实战成果：课程结束时产出可直接复用的Skill、Agent配置与工具化应用

• Managers who hope to improve team efficiency and decision quality through AI Agent technology | 希望通过AI Agent技术提升团队效率和决策质量的管理者
• Professionals who handle many repetitive tasks and want to turn work SOPs into tools | 需要处理大量重复性任务，希望将工作SOP工具化的职场人士
• Project managers or specialists responsible for implementing AI applications inside enterprises | 企业内部负责推动AI应用落地的项目经理或专员
• Professionals in different roles who want to use Agent tools to build personal productivity systems | 希望掌握Agent工具打造个人提效系统的各岗位人员

1. General-Purpose Agents and Workbuddy Deep Practice | 通用智能体与Workbuddy深度实战

1.1 Quick start with general-purpose agents | 通用智能体快速入

• What an agent is | 什么是智能体
• The fundamental difference between Agent and ChatBot | Agent 与 ChatBot的根本区别
• Main categories of agents: cloud agents, local agents, and proprietary agents | 智能体的主流分类：云端智能体、本地智能体与专有智能体
• Typical cloud-agent products: Coze and Kimi | 云端智能体的典型产品：扣子、Kimi
• Capabilities and characteristics of cloud agents | 云端智能体的能力与特点梳理

1.2 Deep dive into OpenClaw and Workbuddy | OpenClaw与Workbuddy深度拆解

• Basic positioning and typical application ideas of the OpenClaw framework | OpenClaw龙虾类型框架的基本定位与典型应用思路
• Workbuddy: a lightweight agent framework for quick zero-base onboarding | Workbuddy：轻量化智能体框架，零基础快速上手
• Introduction to Workbuddy core functions and detailed usage process | Workbuddy核心功能介绍与使用流程详解
• WorkBuddy module breakdown: Skill, Claw, memory, expert system, and automation | WorkBuddy模块组成拆解：Skill、Claw、记忆、专家系统与自动化

1.3 Deep application of WorkBuddy and Skill | WorkBuddy与Skill的深度应用

• SkillHub ecosystem in WorkBuddy | WorkBuddy中的SkillHub生态
• Add common Skills to your WorkBuddy | 为你的WorkBuddy添加常用Skill
• WorkBuddy Skill practice: automatic creation of Tencent Questionnaire and documents | WorkBuddy Skill实战：腾讯问卷与文档自动创建
• WorkBuddy Skill practice: browser automation task execution | WorkBuddy Skill实战：浏览器自动化任务执行

1.4 Practice: build your dedicated WorkBuddy | 实操：打造你的专属龙虾WorkBuddy

• Get started with Claw mode: call WorkBuddy to work anytime, anywhere | 上手Claw模式：随时随地呼叫龙虾工作
• Claw mode case teardown: automatically fill and send invoicing Excel files | Claw模式案例拆解：开票Excel自动填写与发送
• Memory system: make WorkBuddy understand you better | 记忆系统：让WorkBuddy更懂你
• Expert system: call domain experts at any time to solve problems | 专家系统：随时呼叫领域专家解决问题
• Automation tasks: turn fixed processes into automated execution | 自动化任务：把固定流程转为自动化执行

2. Skill Breakthrough | Skill专项突破

2.1 The essence of Agent Skill | Agent Skill的本质

• Skill is the condensation and refinement of business SOPs | Skill是业务SOP的浓缩与提炼
• Real Skill case demonstration and teardown: booth-map information extraction and integration Skill | 真实Skill案例展示与拆解：展位图信息提取与整合Skill
• Relationship between Skill and Agent | Skill 与 Agent的关系
• Difference between Skill and prompt | Skill 与 提示词之间的区别

2.2 Skill design, iteration, and application | Skill的设计、迭代与应用

• Two ways to create a Skill: create from summary and create directly through conversation | 创建Skill的两种方式：总结创建与对话直接创建
• How to use Skill in different Agent ecosystems | 不同Agent生态中如何使用Skill
• Practice 1: article-polishing Skill - make drafts match company standards and style with one click | 实战一：文章润色Skill——一键让文稿符合公司规范与风格
• Practice 2: contract preliminary-review Skill - upload a contract and automatically output a risk checklist | 实战二：合同初审Skill——上传合同自动输出风险提示清单

2.3 Skill design methods and best practices | Skill设计方法与最佳实践

• Identify high-frequency tasks and business processes suitable for Skillization | 识别适合Skill化的高频任务与业务流程
• Core elements of Skill design: trigger conditions, input, process, and output | Skill设计核心要素：触发条件、输入、流程、输出

2.4 Skill WorkShop

• Learners analyze and break down scenarios suitable for Skill | 学员分析拆解适用于Skill的场景
• Design and produce one Skill on site | 现场设计与产出1个Skill

3. AI Programming and SOP Tooling | AI编程与SOP工具化落地

3.1 Tooling mindset and selection decisions | 工具化思维与选型决策

• Three main output forms of AI Coding: web pages, mini programs, and local tools | AI Coding的三种主要产出形态：网页、小程序、本地工具
• Three-step demand discovery: find pain points -> judge the type -> select the tool | 需求挖掘三步定位法：找痛点→判类型→选工具
• Mainstream AI Coding tool comparison: Miaoda, Coze programming, Trae | AI Coding的主流工具对比：妙哒、扣子编程、Trae
• Techniques for clearly expressing functional requirements to AI | 向AI清晰表达功能需求的技巧

3.2 Coze programming: web-app building practice | 扣子编程：网页应用搭建实战

• Introduction and quick start with Coze programming | 扣子编程介绍与快速上手
• Web application: build a business management tool with an interactive interface | 网页应用：搭建带交互界面的业务管理工具
• Practice case 1: build an intelligent resume screening and data-analysis web tool | 实操案例1：打造简历智能筛选与数据分析网页工具
• Practice case 2: build a personalized personal-introduction web page | 实操案例2：打造个性化个人介绍网页

3.3 Miaoda: rapid AI building of WeChat mini programs | 秒哒：微信小程序AI极速搭建

• Introduction and quick start with Baidu Miaoda | 百度妙哒介绍与快速上手
• Miaoda application scenarios: field work, on-site reporting, and other mini-program tools | 妙哒适用场景：外勤作业、现场填报等小程序工具
• Practice case: generate a field photo check-in mini program with one click | 实操案例：外勤拍照打卡小程序一键生成

3.4 AI coding experience and methodology | AI编程经验与方法论

• Use Skill to quickly improve the interface aesthetics of AI coding | 借助Skill快速提升AI coding的界面审美
• Prefer Plan mode for complex tasks | 复杂任务优先选择Plan模式

3.5 Trae: rapid building of local small tools | Trae：本地小工具快速搭建

• Introduction and quick start with Trae Solo | Trae Solo介绍与快速上手
• Trae practice case 1: build a local data-reporting dashboard | Trae实操案例1：搭建本地数据报表看板
• Trae practice case 2: build a batch data-processing workflow tool | Trae实操案例2：搭建批量数据处理流程工具