With the widespread adoption of AI productivity, simple AI queries and copy generation can no longer meet the needs of career advancement, project implementation, and side-hustle efficiency. Today's truly advanced core competency is customizing AI workflows, building automation skills, and implementing model engineering. Most practitioners, tech enthusiasts, and self-media entrepreneurs only use ready-made AI tools and cannot independently configure, develop, or deploy custom workflows. Daily repetitive tasks consume large amounts of time, making it impossible to double efficiency and scale projects, causing them to miss the core dividends of the AI era. This AI workflow programming hands-on course focuses on leading mainstream large models, building a complete closed-loop teaching system from zero-based introduction, model mastery, and custom skill development to full-scenario automated workflow construction, cloud deployment, and project implementation. It emphasizes pure hands-on practice, implementability, reusability, and self-development. No deep programming background is required, and ordinary people can master advanced AI engineering capabilities.

The course starts with two mainstream AI large models, systematically explaining the core configuration, command-line operations, prompt engineering, skill development, and security control of Anthropic Claude and Google Gemini, helping you fully master the advanced usage of these two top-tier models. On this basis, the course focuses on Skill custom workflow development, from conceptual introduction to advanced practice, from single-point skills to multi-node pipeline orchestration, with detailed teaching documents and practical cases for every step. You will personally build practical workflows such as Twitter automation, Xiaohongshu hotspot collection, image generation, and GitHub project tracking, quickly understanding the full process of automation implementation.

The course also comes with extremely rich member-exclusive resources, including dozens of industry-level Skill workflows such as TikTok Shop product selection, WordPress publishing, WeChat Official Account automation, SEO keyword research, and automatic video editing, as well as 260 selected open-source workflow templates. Whether you want to achieve automated social media operations, build an e-commerce product selection and publishing pipeline, or create a content batch creation engine, this course provides a complete toolchain and knowledge system. After completing it, you will completely shed the identity of a tool user and become an engineering talent capable of independently designing, developing, and deploying AI workflows.

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• 1.Twitter Automation: Setup Methods and Introduction Examples
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• 2.Xiaohongshu Hotspot Collector: Tutorial and Resources
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• 3.Xiaohongshu Image Generator: Tutorial and Resources
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• 4.Twitter Automation Pipeline: Download and Tutorial
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• 5.Skill Workflow Orchestration and Standards: Download and Tutorial
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• 6.URL Tweet Creator: Tutorial and Resources
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• 7.GitHub Project Hunter: Tutorial and Resources
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• 8.Quick Start: Core Concepts and Beginner Pitfalls
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• 9.Quick Start: Installation, Launch, and Workflow Practice
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• 10.Prompting: Basic Principles and Structured Extended Thinking
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• 11.Prompting: Advanced Techniques and Templates
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• 12.Memory: CLAUD.md Writing Guide and Configuration
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• 13.CLI: Command Reference, Interactive Mode, and Headless Mode Automation
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• 14.SlashCommands: Built-in Commands and Custom Commands
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• 15.Overview: Overview and Comparison
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• 16.Skills: Conceptual Introduction, Creation, and Design Patterns
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• 17.Skills: Advanced Practice
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• 18.SubAgents: Conceptual Introduction, Usage Guide, and Creation Configuration
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• 19.SubAgents: Routing, Scheduling, and Security Practice
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• 20.MCP: Conceptual Architecture and Configuration Integration
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• 21.Hooks: Basic and Advanced Practice
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• 22.Plugins: Concepts, Usage, Development, and Sharing
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• 23.Settings: Configuration Basics and Advanced Permission Configuration
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• 24.Teamwork: Shared Configuration and Collaborative Workflows
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• 25.Security: Security and Permission Management
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• 26.CostControl: Monitoring, Tracking, and Cost Control
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• 27.IDE: VSCode, JetBrains, and Container Web Environments
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• 28.CloudDeploy: Overview and Bedrock Deployment
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• 29.CloudDeploy: Vertex and Gateway Deployment
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• 30.CICD: Continuous Integration and Troubleshooting
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• 31.Installation Guide: Get Started with Claude Code in 10 Minutes for Beginners
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• 32.Gemini CLI Developer Hands-On Test and Comparison
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• 33.Antigravity In-Depth Experience: Zero-Code App Development
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• 34.Antigravity Detailed Usage Guide and Complete Tutorial
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• 35.Building a Financial Risk Dashboard with Antigravity
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• 36.Antigravity Review and Installation & Usage Guide
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• 37.Customizing Antigravity with Rules and Workflows
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• 38.Antigravity In-Depth Analysis and Ultimate Workflows Guide
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• 39.Developing n8n API Interfaces with Claude Code
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• 40.TikTok Shop Product Selection Skill
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• 41.Skill Specification 2.0
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• 42.Chuangjian Video Editing Skill
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• 43.WordPress Automation Workflow
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• 44.Legal Consultation Skill
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• 45.Skill Automated Testing and Repair Workflow
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• 46.SEO Keyword In-Depth Research Skill
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• 47.WeChat Official Account Automation Workflow
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• 48.Viral Article Optimization Skill
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• 49.Product Diagnosis Workflow
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• 50.Unlimited-Style Article Illustration Workflow
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• 51.260 Curated Open-Source Skills
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• 52.Auto Video Editing Tutorial and Workflow Setup
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• 53.Video Companion Source Code and Usage Tutorial
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• 54.Local Deployment and Claude Code Switching Tutorial
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• 55.Cloud Deployment: Zeabur Deployment Tutorial
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• 56.Command Commands: Build Screening, Change Review, Chapter Writing, CLAUDE.md Generator
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• 57.Command Commands: GitHub Clone, Development Restart, Document Review, Feature Planning, Guided Development
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• 58.Command Commands: Bug Fixing, Comprehensive Code Review, Code Push, Markdown Standards, n8n to PRD
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• 59.Command Commands: Tutorial Extraction, Tutorial Review, Session Handoff, Knowledge Sync, TDD Testing, TypeScript Review
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• 60.Knowledge Base: Standards, Configuration Guides, and Tutorials
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• 61.Memory System: User Memory and Project Memory Configuration
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💡 Learning Tip: Tutorial content is based on industry practices at time of publication; please verify against current platform rules. AI tool features may change with updates; please refer to official release notes.