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Hello everyone, this is programmer Wan Feng actively working on various AI projects.

At 11 PM last night, I received a message from the OpenClaw team: "Case library launching tomorrow, want to take a look first?"

Without hesitation, I stayed up all night organizing 100+ practical projects, just to give you the most complete OpenClaw case library usage guide.

🎉 Case Library Officially Launched

Official URL: https://www.python-office.com/openclaw/

What is this case library? Simply put, it's a collection of practical projects organized by OpenClaw official.

📊 Case Library Content Overview

CategoryProject CountDifficultySuitable For
AI Office Automation35+⭐⭐Office workers
AI Agent Development28+⭐⭐⭐Developers
Data Analysis22+⭐⭐Data analysts
Web Crawlers18+⭐⭐Data collection
Image Processing15+⭐⭐⭐Vision developers
Others12+⭐⭐⭐Advanced users

Total: 130+ practical projects

1. Excel Auto Report Generation

  • Difficulty: ⭐⭐
  • Scenario: Finance, operations daily reports
  • Code amount: 50 lines
  • Time saved: 2 hours daily

2. Email Auto Reply Assistant

  • Difficulty: ⭐⭐
  • Scenario: Customer service, sales email processing
  • Code amount: 80 lines
  • Time saved: 1.5 hours daily

3. WeChat Message Auto Reply

  • Difficulty: ⭐⭐⭐
  • Scenario: Community management, customer service
  • Code amount: 120 lines
  • Time saved: 3 hours daily

4. Document Intelligent Summary

  • Difficulty: ⭐⭐⭐
  • Scenario: Meeting records, paper summaries
  • Code amount: 60 lines
  • Time saved: 30 minutes per article

5. Data Auto Cleaning

  • Difficulty: ⭐⭐⭐
  • Scenario: Data analysis preprocessing
  • Code amount: 100 lines
  • Time saved: 1 hour per session

6. Image Batch Processing

  • Difficulty: ⭐⭐
  • Scenario: E-commerce image processing
  • Code amount: 40 lines
  • Time saved: 30 minutes per batch

7. Web Data Scraping

  • Difficulty: ⭐⭐⭐
  • Scenario: Competitor analysis, market research
  • Code amount: 80 lines
  • Time saved: 2 hours per session

8. PDF to Word

  • Difficulty: ⭐⭐
  • Scenario: Document format conversion
  • Code amount: 30 lines
  • Time saved: 10 minutes per document

9. Speech to Text

  • Difficulty: ⭐⭐⭐
  • Scenario: Meeting records, interview organization
  • Code amount: 50 lines
  • Time saved: 40 minutes per hour

10. AI Intelligent Customer Service

  • Difficulty: ⭐⭐⭐⭐
  • Scenario: Enterprise customer service system
  • Code amount: 200 lines
  • Time saved: 8 hours daily

💡 How to Use Case Library

Step 1: Visit Official Website

Open https://www.python-office.com/openclaw/

Step 2: Choose Category

Choose corresponding category based on your needs

Step 3: View Case

Each case contains:

  • Project description
  • Code example
  • Running screenshot
  • Dependency description

Step 4: Copy and Run

Directly copy code, modify parameters for use

🎯 My Usage Suggestions

Beginner Getting Started Route

  1. First look at AI Office Automation category
  2. Choose 1-2 simple cases
  3. Run successfully locally
  4. Modify parameters to fit your scenario

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