Skills Beginner to Practice - Systematic Course

A complete AI Skill learning path from beginner to independent development, deployment, and monetization

Course Positioning

Target Students:

  • Office workers who want to improve productivity
  • Developers who want to transition to the AI field
  • Creators who want to monetize through Skills

Learning Outcomes:

  • Master Skill development on 3 major platforms
  • Independently complete 5 practical projects
  • Have the ability to list Skills and monetize

Course Outline

Chapter 1: Understanding AI Skills (2 lectures)

Directory: 01-introduction/

LectureTitleContent Summary
Lecture 1What is AI Skill? Why Must You Learn It Now?Skill definition, development history, market opportunities
Lecture 2Skill Ecosystem Overview: Platforms, Developers, UsersMain platform comparison, developer profiles, user needs analysis

Chapter 2: Skill Basics (3 lectures)

Directory: 02-basics/

LectureTitleContent Summary
Lecture 3Core Concepts: Intent, Action, ToolTechnical architecture analysis, core terminology
Lecture 4Your First Skill: Hello World PracticeCreate, configure, and test your first Skill from scratch
Lecture 5Skill Interaction Design: Making Conversations NaturalPrompt design, multi-turn dialogue, error handling

Chapter 3: Main Platform Practice (6 lectures)

Directory: 03-platforms/

LectureTitleContent Summary
Lecture 6Coze Platform Deep DivePlatform features, workflow design, plugin ecosystem
Lecture 7Coze Practice: Building an Office Assistant SkillComplete development process, publishing
Lecture 8OpenClaw Platform Deep DiveClawHub ecosystem, local development, debugging tips
Lecture 9OpenClaw Practice: Developing a Data Processing SkillPython integration, API calls, performance optimization
Lecture 10Feishu CLI Platform Deep DiveFeishu ecosystem, enterprise Skills, permission management
Lecture 11Feishu CLI Practice: Team Collaboration SkillGroup chat integration, approval workflows, data sync

Chapter 4: Office Scenario Practice (6 lectures)

Directory: 04-practice/

LectureTitleContent Summary
Lecture 12Excel Automation Skill DevelopmentRead/write Excel, data processing, chart generation
Lecture 13PDF Processing Skill DevelopmentMerge/split, format conversion, content extraction
Lecture 14PPT Generation Skill DevelopmentTemplate filling, auto layout, speaker notes
Lecture 15Word Document Skill DevelopmentMail merge, format processing, comment management
Lecture 16OCR Recognition Skill DevelopmentInvoice recognition, business card recognition, table extraction
Lecture 17Email Automation Skill DevelopmentAuto send, template management, attachment handling

Chapter 5: Advanced Development Skills (4 lectures)

Directory: 05-advanced/

LectureTitleContent Summary
Lecture 18Multi-platform Adaptation StrategyCode reuse, platform differences handling, unified interfaces
Lecture 19Data Persistence for SkillsDatabase, file storage, caching strategies
Lecture 20Security and PermissionsAuthentication, data encryption, access control
Lecture 21Performance OptimizationAsync processing, concurrency control, resource management

Chapter 6: Comprehensive Project Practice (5 lectures)

Directory: 06-projects/

LectureTitleContent Summary
Lecture 22Project 1: Intelligent Financial Assistant (Requirements Analysis)Scenario research, feature planning, technology selection
Lecture 23Project 1: Intelligent Financial Assistant (Development)Invoice recognition, reimbursement form generation, data statistics
Lecture 24Project 2: HR Recruitment Assistant (Requirements Analysis)Resume parsing, interview scheduling, talent pool management
Lecture 25Project 2: HR Recruitment Assistant (Development)PDF parsing, calendar integration, email notifications
Lecture 26Project Review and Best PracticesCommon problems, solutions, lessons learned

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