Personal Productivity

❌ Information scattered: emails, WeChat, documents everywhere
❌ Fragmented time: too many meetings, hard to focus
❌ Repetitive tasks: doing similar things every day
❌ Knowledge loss: can't remember what was read

✅ Centralized information management
✅ Automate repetitive tasks
✅ Increase focused time
✅ Build a personal knowledge base

📊 Daily Report (February 10, 2026)

【Important Schedule】
• 09:00-10:00 Client A Project Kick-off Meeting (Online)
• 14:00-16:00 Industry Research Report Discussion (Meeting Room B)
• 17:00-18:00 Team Weekly Meeting (Online)

【To-Do Items】
• Complete Client B's Requirements Analysis Report
• Review market research data submitted by the team
• Prepare tomorrow's client proposal PPT

【Industry Trends】
• AI Industry: OpenAI releases new model GPT-5.3
• Consulting Industry: McKinsey releases 2026 trend report
• Competitor Dynamics: Competitor C company secures new funding

【Today's Suggestions】
• Many meetings in the morning, suggested to prepare materials in advance
• 2 hours of focused time in the afternoon, can be used for report writing
• Suggested to review today's work and update the knowledge base in the evening

# 1. Configure scheduled task
openclaw schedule add "daily-report" \
  --time "07:00" \
  --prompt "生成今日日报，包括：日程、待办、行业动态、建议"

# 2. Configure information sources
openclaw config set report.sources \
  "calendar,todo,rss,notion"

# 3. Configure push channel
openclaw config set report.channel "feishu"

1. Open browser to search
2. Read multiple articles
3. Manually copy and paste into a document
4. Organize into structured notes
⏱️ Time spent: 1 hour

You: Help me collect important news from the new energy vehicle industry
    over the past week, organize it into structured notes, and save it to memos.

OpenClaw: Okay, collecting now...

【New Energy Vehicle Industry Weekly Report】
📅 February 3 - February 10, 2026

【Policy Dynamics】
• Ministry of Industry and Information Technology releases new energy vehicle subsidy policy
• Beijing relaxes new energy vehicle license plate quotas
• EU passes new 2030 carbon emission standards

【Company Dynamics】
• Tesla Q4 earnings beat expectations, stock price up 15%
• BYD releases new battery technology, range increased by 30%
• Nio announces entry into European market

【Technology Trends】
• Breakthroughs in solid-state battery technology
• L4 autonomous driving mass production imminent
• Charging pile construction accelerates, coverage increases

【Market Data】
• January new energy vehicle sales up 45% year-on-year
• Penetration rate reaches 35%, a new historical high
• Used car market begins to become active

Saved to memo: New Energy Vehicle Industry Weekly Report_20260210
⏱️ Time spent: 2 minutes

# 1. Configure web clipping Skills
clawhub install web-clipper

# 2. Configure memo synchronization
clawhub install notes-sync

# 3. Set default storage location
openclaw config set notes.default "备忘录/行业研究"

1. Recall meeting content
2. Review meeting notes
3. Organize into a document
4. Send to relevant personnel
⏱️ Time spent: 45 minutes

You: Help me organize the meeting minutes for Client A's project kick-off meeting this morning,
    including: meeting time, attendees, discussion points, action items, next meeting time.

OpenClaw: Okay, organizing now...

【Meeting Minutes】Client A Project Kick-off Meeting

📅 Meeting Time: February 10, 2026, 09:00-10:00
👥 Attendees: Zhang Ming (Chair), 3 from Client A, 2 team members

📋 Discussion Points:
1. Project Background and Goals
   • Client hopes to complete digital transformation in Q2
   • Budget range: 5-8 million
   • Core demand: Improve operational efficiency by 30%

2. Project Scope
   • Business process optimization
   • System selection and implementation
   • Personnel training

3. Timeline
   • Requirements gathering: 2 weeks
   • Solution design: 3 weeks
   • System implementation: 8 weeks
   • Go-live training: 2 weeks

✅ Action Items:
• Zhang Ming: Complete requirements gathering plan by this Friday (Owner: Zhang Ming, Due: Feb 14)
• Team: Submit preliminary proposal by next Monday (Owner: Li Hua, Due: Feb 17)
• Client: Provide existing system documentation (Owner: Client A, Due: Feb 12)

📅 Next Meeting: February 17, 14:00, to discuss preliminary proposal

Saved to: 会议纪要/客户A项目启动会_20260210.md
Synchronized to: Notion workspace
⏱️ Time spent: 3 minutes

# 1. Configure meeting notes template
openclaw template add "meeting-notes" \
  --format "时间、参会人员、讨论要点、行动项、下次会议"

# 2. Configure automatic synchronization
openclaw config set sync.targets "notion,feishu"

# 3. Configure reminders
openclaw config set reminder.action-items true

Step 1: Collect Data
You: Help me find all information about Client B from Notion,
    including: meeting minutes, survey data, industry analysis.

OpenClaw: 15 relevant documents found, organizing now...

Step 2: Generate Outline
You: Based on this information, generate an outline for a requirements analysis report.

OpenClaw:
【Requirements Analysis Report Outline】

I. Project Background
  1.1 Client Overview
  1.2 Industry Status Analysis
  1.3 Reasons for Project Initiation

II. Current Situation Analysis
  2.1 Current Business Process
  2.2 Current System Architecture
  2.3 Existing Problems

III. Requirements Analysis
  3.1 Business Requirements
  3.2 Functional Requirements
  3.3 Non-functional Requirements

IV. Proposed Solutions
  4.1 Business Optimization Suggestions
  4.2 System Transformation Suggestions
  4.3 Implementation Roadmap Suggestions

V. Expected Outcomes
  5.1 Expected Efficiency Improvement
  5.2 Expected Cost Savings
  5.3 Risk Assessment

Step 3: Write Chapter by Chapter
You: Help me write the first chapter: Project Background.

OpenClaw: Writing now...

I. Project Background

1.1 Client Overview
Client B is a manufacturing enterprise established in 2015...
(Detailed content)

1.2 Industry Status Analysis
The current manufacturing industry is facing a critical period of digital transformation...
(Detailed content)

1.3 Reasons for Project Initiation
Based on the following three core driving factors...
(Detailed content)

Step 4: Review and Optimize
You: Help me review this report for any logical issues or omissions.

OpenClaw: Review completed, found the following issues:
1. Chapter 2 lacks data support, suggested to add specific figures.
2. Chapter 3's requirement priorities are not clear enough, suggested to add priority ranking.
3. Chapter 4's solutions are too general, suggested to elaborate on implementation steps.
4. The entire document lacks charts, suggested to add flowcharts and data charts.

Optimization suggestions document generated.

You: Help me organize today's work and generate a daily report.

OpenClaw:
【Work Daily Report】February 10, 2026

📊 Today's Completion:
✅ Client A Project Kick-off Meeting (Meeting minutes completed)
✅ Client B Requirements Analysis Report (First draft completed)
✅ Team Weekly Meeting (Action items synchronized)
✅ Industry Research (3 articles archived)

📈 Data Statistics:
• Meetings: 3, total 4 hours
• Focused Work: 4 hours
• Document Output: 2 documents, total 8000 words
• Knowledge Archiving: 5 notes

💡 Today's Gains:
• Learned the latest trends in the new energy vehicle industry
• Understood Client B's core requirements
• Optimized the meeting minutes template

📝 To-Do Items:
• Need to complete the final draft of Client B's report tomorrow
• Prepare client proposal PPT
• Follow up on Client A's data collection

🎯 Tomorrow's Plan:
• 09:00-12:00 Complete final draft of Client B's report
• 14:00-17:00 Create client proposal PPT
• 17:00-18:00 Team internal discussion

Saved to: 工作日报/20260210.md
Synchronized to: Notion personal workspace

# 1. Configure automatic archiving rules
openclaw config set archive.rules '{
  "会议纪要": "Notion/会议记录",
  "行业研究": "备忘录/行业研究",
  "项目文档": "Notion/项目管理",
  "个人笔记": "备忘录/个人成长"
}'

# 2. Configure daily report generation
openclaw schedule add "daily-summary" \
  --time "19:00" \
  --prompt "生成今日工作日报"

# 3. Configure knowledge graph
openclaw config set knowledge.graph true

#!/bin/bash
# 知识工作者完整工作流配置

# 1. 早晨日报
openclaw schedule add "morning-report" \
  --time "07:00" \
  --prompt "生成今日日报" \
  --channel "feishu"

# 2. 网页剪藏
clawhub install web-clipper
openclaw config set clipper.default "备忘录/行业研究"

# 3. 会议记录
openclaw template add "meeting-notes"
openclaw config set meeting.auto-sync true

# 4. 文档协作
clawhub install notion-sync
openclaw config set notion.workspace "个人工作区"

# 5. 晚间复盘
openclaw schedule add "evening-summary" \
  --time "19:00" \
  --prompt "生成工作日报"

# 6. 知识图谱
openclaw config set knowledge.graph true
openclaw config set knowledge.auto-link true

echo "✅ 知识工作者工作流配置完成！"

Time saved: 272 minutes/day × 22 days = 5,984 minutes ≈ 100 hours
Equivalent to: 12.5 working days
Annual savings: 150 working days (approx. 7.5 months)

Cost:
- OpenClaw Configuration Time: 4 hours
- API Fees: $50/month
- Total Cost: $50/month

Benefit:
- Time Saved: 100 hours/month
- Calculated at $50/hour: $5,000/month
- ROI: ($5,000 - $50) / $50 = 9,900%

❌ Scattered code: multiple projects, difficult to manage
❌ Document search: technical documents everywhere
❌ Bug tracking: unsystematic problem recording
❌ Fragmented learning: learning materials difficult to organize

✅ Unified code management
✅ Quick document lookup
✅ Systematic bug tracking
✅ Build a technical knowledge base

You: Help me find all code in the project that handles user authentication.

OpenClaw: Searching now...

Found the following relevant files:
1. src/auth/login.js - Login logic
2. src/auth/register.js - Registration logic
3. src/middleware/auth.js - Authentication middleware
4. src/utils/jwt.js - JWT utility functions
5. tests/auth.test.js - Authentication tests

Core code snippet:
```javascript
// src/middleware/auth.js
const authMiddleware = async (req, res, next) => {
  const token = req.headers.authorization;
  if (!token) {
    return res.status(401).json({ error: 'No token provided' });
  }
  // ... validation logic
}

**Configuration Method**:

```bash
# 1. Configure code search
clawhub install code-search
openclaw config set code.paths "~/projects"

# 2. Configure code analysis
openclaw config set code.analysis true
openclaw config set code.language "javascript,python,go"

# 3. Configure code map
openclaw config set code.map.enabled true

You: Help me collect official documentation and community best practices for React 19,
    and organize them into learning notes.

OpenClaw: Collecting now...

【React 19 Learning Notes】

📚 Official Documentation:
• React 19 Release Notes
• New Feature: Server Components
• New Feature: Actions
• New Feature: Document Metadata
• Migration Guide

🔥 Core New Features:
1. Server Components
   - Server-side rendered components
   - Reduces client-side JavaScript
   - Improves initial page load speed
   
2. Actions
   - Simplifies form handling
   - Automatically handles pending states
   - Built-in error handling

3. Document Metadata
   - Set meta tags directly within components
   - Better SEO support

💡 Best Practices:
• When to use Server Components
• Use cases for Actions
• Performance optimization suggestions

🔗 Reference Resources:
• Official Documentation: https://react.dev/blog/2024/12/05/react-19
• Community Tutorials: 10 selected articles
• Example Code: 5 open-source projects

Saved to: 技术笔记/React19.md
Synchronized to: Notion technical knowledge base

You: Help me analyze this GitHub project:
    https://github.com/vercel/next.js

OpenClaw: Analyzing now...

【Next.js Project Analysis】

📊 Project Overview:
• Stars: 125K
• Forks: 26.8K
• Language: TypeScript (95%)
• Last Updated: 2 hours ago
• Activity: Very active

🏗️ Project Structure:

🔑 Core Features:
• Server-Side Rendering (SSR)
• Static Site Generation (SSG)
• API Routes
• File System Routing
• Image Optimization
• Internationalization Support

💻 Tech Stack:
• React 18+
• TypeScript
• Webpack/Turbopack
• SWC Compiler

📈 Recent Updates:
• Added: Turbopack support
• Optimized: Build speed increased by 40%
• Fixed: 15 Bugs

🎯 Applicable Scenarios:
• Enterprise Web Applications
• E-commerce Websites
• Blogs and Content Websites
• Projects with high SEO requirements

Saved to: 项目分析/NextJS.md

You: Help me log a bug:
    After a user logs in, refreshing the page logs them out.
    
OpenClaw: Bug logged, analyzing now...

【Bug Report】#2024-001

🐛 Problem Description:
After a user logs in, refreshing the page logs them out.

📋 Basic Information:
• Severity: High
• Scope: All users
• Discovery Time: 2026-02-10 15:30
• Reporter: Li Hua

🔍 Possible Causes:
1. Token not correctly stored in localStorage
2. Authentication middleware logic error
3. Session expiration time setting issue

💡 Suggested Troubleshooting:
1. Check token storage logic in login.js
2. Check token validation in auth.js middleware
3. Check browser console for error messages

📝 Related Code:
• src/auth/login.js:45-60
• src/middleware/auth.js:12-25

🔗 Related Issues:
• GitHub Issue #123 (similar problem)
• Stack Overflow discussion

Task created: Fix login refresh bug
Reminder set: Handle before end of day today
Saved to: Bug追踪/2024-001.md

Step 1: Analyze Code
You: Help me analyze the token storage logic in login.js.

OpenClaw:
Problem found:
Line 52 uses sessionStorage instead of localStorage.
sessionStorage is cleared after a page refresh.

Suggested modification:
- sessionStorage.setItem('token', token);
+ localStorage.setItem('token', token);

Step 2: Verify Fix
You: Help me check if there are any other issues after the modification.

OpenClaw:
Related code checked, found:
1. ✅ Token storage fixed
2. ⚠️ Suggested to add token expiration check
3. ⚠️ Suggested to add error handling

Step 3: Update Documentation
You: Help me update the bug report, mark as resolved.

OpenClaw:
Bug report updated:
• Status: Resolved
• Solution: Changed sessionStorage to localStorage
• Resolution Time: 2026-02-10 16:15
• Time Spent: 45 minutes

Synchronized to: Bug tracking system
Notified: Relevant team members

You: Help me switch to Project A's development environment.

OpenClaw: Switching now...

✅ Switched to Project A development environment

📁 Project Information:
• Project Name: E-commerce Backend Management System
• Path: ~/projects/ecommerce-admin
• Branch: feature/user-management
• Node Version: 18.17.0
• Dependency Status: Installed

🔧 Environment Configuration:
• Database: MySQL 8.0 (local)
• Redis: 6.2 (local)
• API Address: http://localhost:3000

📝 Recent Changes:
• 3 files modified
• 2 files pending commit
• 0 conflicts

💡 To-Do Tasks:
• Complete user management module
• Fix login bug
• Write unit tests

Do you need to start the development server?

# 1. Configure project list
openclaw config set projects '{
  "project-a": {
    "path": "~/projects/ecommerce-admin",
    "node": "18.17.0",
    "services": ["mysql", "redis"]
  },
  "project-b": {
    "path": "~/projects/blog-system",
    "node": "20.10.0",
    "services": ["postgresql"]
  }
}'

# 2. Configure auto-start
openclaw config set project.auto-start true

# 3. Configure environment check
openclaw config set project.health-check true

You: Help me create a learning plan for React 19.

OpenClaw:
【React 19 Learning Plan】

📅 Learning Period: 2 weeks (February 10, 2026 to February 24, 2026)

📚 Week 1: Basic Learning
Day 1-2: Server Components
• Read official documentation
• Complete 3 example projects
• Summarize learning notes

Day 3-4: Actions
• Understand Actions concept
• Practice form handling
• Compare with traditional solutions

Day 5: Document Metadata
• Learn new API
• Practice SEO optimization
• Weekend review and summary

📚 Week 2: Practical Application
Day 6-8: Refactor existing project
• Migrate to React 19
• Apply new features
• Performance comparison testing

Day 9-10: Best Practices
• Read community articles
• Participate in technical discussions
• Summarize lessons learned

🎯 Learning Goals:
• Master core features of React 19
• Be able to apply in projects
• Produce technical sharing articles

📊 Progress Tracking:
• Daily learning time: 2 hours
• Weekly review: Sunday evening
• Final assessment: Complete a practical project

Learning tasks created
Daily reminders set
Synchronized to calendar

#!/bin/bash
# 程序员开发助手完整配置

# 1. 代码搜索
clawhub install code-search
openclaw config set code.paths "~/projects"
openclaw config set code.language "javascript,typescript,python,go"

# 2. 技术文档管理
clawhub install web-clipper
clawhub install github-analyzer
openclaw config set docs.default "Notion/技术知识库"

# 3. Bug追踪
openclaw template add "bug-report"
openclaw config set bug.auto-create-task true
openclaw config set bug.priority-alert true

# 4. 项目环境管理
openclaw config set projects.list "project-a,project-b,project-c"
openclaw config set project.auto-start true

# 5. 学习计划
clawhub install learning-planner
openclaw config set learning.daily-reminder true

# 6. 代码审查
clawhub install code-review
openclaw config set review.auto-check true

echo "✅ 程序员开发助手配置完成！"

Time saved: 114 minutes/day × 22 days = 2,508 minutes ≈ 42 hours
Equivalent to: 5.25 working days
Annual savings: 63 working days (approx. 3 months)

❌ Topic selection difficulty: doesn't know what to write
❌ Scattered materials: images, text everywhere
❌ Multi-platform publishing: repetitive tasks
❌ Data analysis: lack of systematization

✅ Systematic topic selection
✅ Unified material management
✅ Automated publishing
✅ Data-driven optimization

You: Help me collect today's hot topics in the AI field,
    and generate 5 topic suggestions.

OpenClaw: Collecting now...

【Today's Topic Suggestions】February 10, 2026

🔥 Hot Topics:
1. OpenAI releases GPT-5.3
   • Popularity: ⭐⭐⭐⭐⭐
   • Competition: High
   • Suggested Angle: In-depth review, usage tips

2. Claude 5 leak news
   • Popularity: ⭐⭐⭐⭐
   • Competition: Medium
   • Suggested Angle: Information compilation, predictive analysis

3. New AI drawing tool Banana Pro
   • Popularity: ⭐⭐⭐
   • Competition: Low
   • Suggested Angle: Usage tutorial, case sharing

4. Domestic large model price war
   • Popularity: ⭐⭐⭐⭐
   • Competition: Medium
   • Suggested Angle: Cost comparison, selection guide

5. AI Agent application cases
   • Popularity: ⭐⭐⭐
   • Competition: Low
   • Suggested Angle: Practical tutorial, efficiency improvement

💡 Recommended Topic:
The 3rd one (Banana Pro)
Reason:
• Low competition, easy to stand out
• Strong practicality, high user demand
• Can be a series of content

📊 Data Support:
• WeChat Index: Up 50%
• Zhihu Popularity: 200+ new discussions
• Bilibili Search: Up 80%

Saved to: 选题库/20260210.md

# 1. Configure hot topic monitoring
clawhub install trend-monitor
openclaw config set trend.sources "weibo,zhihu,xiaohongshu"
openclaw config set trend.keywords "AI,人工智能,ChatGPT"

# 2. Configure topic generation
openclaw schedule add "daily-topics" \
  --time "09:00" \
  --prompt "生成今日选题建议"

# 3. Configure topic scoring
openclaw config set topic.scoring true
openclaw config set topic.factors "热度,竞争度,实用性"

You: Help me collect relevant information about Banana Pro,
    including: official introduction, usage tutorial, user reviews.

OpenClaw: Collecting now...

【Banana Pro Material Pack】

📚 Official Information:
• Official Website: https://banana.dev
• Product Introduction: AI drawing tool, supports text-to-image, image-to-image
• Core Features: Fast speed, high quality, low price
• Pricing: $0.01/image

📖 Usage Tutorials:
• Official Documentation: 10 tutorials
• Community Tutorials: 15 selected
• Video Tutorials: 5 Bilibili videos

💬 User Reviews:
• Approval Rate: 92%
• Main Advantages: Fast, good results, cheap
• Main Disadvantages: Relatively simple features

🎨 Example Works:
• 50 example images collected
• Categories: Characters, landscapes, products, illustrations

📊 Competitor Comparison:
• vs Midjourney: Significant price advantage
• vs Stable Diffusion: Easier to use
• vs DALL-E: Faster

Organized into document: 资料库/BananaPro.md
Example images downloaded to: 素材库/BananaPro/

You: Help me write a tutorial about Banana Pro,
    target platform: WeChat Official Account, word count: 2000 words.

OpenClaw: Creating now...

【Article Outline】

I. What is Banana Pro?
• Product introduction
• Core advantages
• Target audience

II. How to get started?
• Registration process
• Basic settings
• Your first image

III. Advanced Techniques
• Prompt optimization
• Parameter adjustment
• Style control

IV. Practical Cases
• Case 1: Creating a WeChat Official Account cover
• Case 2: Generating product images
• Case 3: Creating illustrations

V. Common Issues
• Q&A summary
• Pitfalls to avoid

【Main Text】(2000 words)
I. What is Banana Pro?

If you are a content creator, you must have encountered such troubles...
(Detailed content)

【Image Suggestions】
• Cover image: Banana Pro interface screenshot
• Image 1: Registration process diagram
• Images 2-4: Practical case effect diagrams
• Image 5: Price comparison table

【SEO Optimization】
• Title: Banana Pro Tutorial: Learn AI Painting in 5 Minutes
• Keywords: Banana Pro, AI Painting, Usage Tutorial
• Description: Detailed Banana Pro usage tutorial...

Article generated: 草稿/BananaPro教程.md
Image requirements generated: 5 images

You: Help me generate the 5 images needed for the article using Banana.

OpenClaw: Generating now...

✅ 5 images generated:
1. Cover image: Banana Pro interface (1200x630)
2. Registration process diagram: Step-by-step diagram (800x600)
3. Case 1: WeChat Official Account cover effect (900x500)
4. Case 2: Product image effect (800x800)
5. Case 3: Illustration effect (1000x1000)

Saved to: 素材库/BananaPro/配图/
Watermark added
Optimized and compressed

You: Help me publish this article to:
    WeChat Official Account, Zhihu, Xiaohongshu, Bilibili.

OpenClaw: Publishing now...

【Publishing Progress】

✅ WeChat Official Account
• Title: Banana Pro Tutorial: Learn AI Painting in 5 Minutes
• Cover: Uploaded
• Body: Formatted
• Status: Published
• Link: https://mp.weixin.qq.com/xxx

✅ Zhihu
• Title: Same as above
• Cover: Uploaded
• Body: Adapted to Zhihu format
• Topics: #AI绘画 #工具推荐
• Status: Published
• Link: https://zhuanlan.zhihu.com/xxx

✅ Xiaohongshu
• Title: Learn AI Painting in 5 Minutes! Banana Pro Beginner's Guide
• Cover: Xiaohongshu style cover generated
• Body: Simplified to 1000 words
• Topics: #AI绘画 #效率工具
• Status: Published
• Link: https://xiaohongshu.com/xxx

⏳ Bilibili (Video production in progress)
• Script: Video script generated
• Materials: Images and audio prepared
• Estimated completion time: 2 hours later

📊 Publishing Statistics:
• Published: 3 platforms
• Pending: 1 platform
• Total time spent: 15 minutes

# 1. Configure platform accounts
openclaw config set platforms '{
  "wechat": {
    "appid": "xxx",
    "secret": "xxx"
  },
  "zhihu": {
    "token": "xxx"
  },
  "xiaohongshu": {
    "cookie": "xxx"
  }
}'

# 2. Configure automatic adaptation
openclaw config set publish.auto-format true
openclaw config set publish.platforms "wechat,zhihu,xiaohongshu"

# 3. Configure publishing template
openclaw template add "multi-platform-publish"

You: Help me analyze the data for the 5 articles published last week.

OpenClaw: Analyzing now...

【Content Data Analysis】February 3 to February 9, 2026

📊 Overall Data:
• Articles Published: 5
• Total Reads: 15,000
• Total Likes: 800
• Total Saves: 450
• Average Engagement Rate: 8.3%

📈 Best Performance:
Article: "Banana Pro Usage Tutorial"
• Reads: 5,000 (33.3% of total)
• Likes: 350 (43.8% of total)
• Saves: 200 (44.4% of total)
• Engagement Rate: 11%

📉 Needs Optimization:
Article: "AI Industry Weekly Report"
• Reads: 1,500 (10% of total)
• Likes: 50 (6.3% of total)
• Engagement Rate: 3.3%

💡 Optimization Suggestions:
1. Tutorial-type content performs best, suggested to increase its proportion.
2. Weekly report content has low engagement, suggested to optimize title and cover.
3. Publishing time: 8-9 PM works best.
4. Titles: Titles with numbers and question marks perform better.

📊 Platform Comparison:
• WeChat Official Account: Highest reads, but average engagement rate.
• Zhihu: Highest engagement rate, but lower reads.
• Xiaohongshu: Fastest growth, greatest potential.

🎯 Next Week's Strategy:
• Increase tutorial-type content (3 articles)
• Optimize weekly report format (change to curated highlights)
• Focus on operating Xiaohongshu
• Optimize publishing time to 8 PM

Saved to: 数据分析/20260210.md

#!/bin/bash
# 内容创作者完整工作流配置

# 1. 选题灵感
clawhub install trend-monitor
openclaw schedule add "daily-topics" \
  --time "09:00" \
  --prompt "生成今日选题建议"

# 2. 资料收集
clawhub install web-clipper
clawhub install image-downloader
openclaw config set materials.path "~/素材库"

# 3. 内容创作
clawhub install content-writer
clawhub install banana-ai
openclaw config set content.style "公众号"

# 4. 多平台发布
clawhub install multi-publisher
openclaw config set publish.platforms "wechat,zhihu,xiaohongshu"

# 5. 数据分析
clawhub install analytics
openclaw schedule add "weekly-report" \
  --time "Mon 10:00" \
  --prompt "生成上周数据分析报告"

# 6. 素材管理
openclaw config set materials.auto-organize true
openclaw config set materials.backup true

echo "✅ 内容创作者工作流配置完成！"

Weekly publications: 3 articles
Time saved: 350 minutes/article × 3 articles × 4 weeks = 4,200 minutes ≈ 70 hours
Equivalent to: 8.75 working days
Annual savings: 105 working days (approx. 5 months)

After efficiency improvement:
• Publishing frequency: Increased from 3 articles/week to 5 articles/week
• Content quality: Improved by 30%
• Fan growth: Increased by 50%
• Ad revenue: Increased by 80%

❌ Too many papers: can't finish reading, can't remember
❌ Heavy coursework: not enough time
❌ Project chaos: difficult to control progress
❌ Inefficient review: knowledge points too scattered

✅ Efficient paper reading
✅ Quickly complete assignments
✅ Systematically manage projects
✅ Scientifically prepare for exams

You: Help me organize all materials for the Machine Learning course,
    including: lecture slides, assignments, papers, notes.

OpenClaw: Organizing now...

【Machine Learning Course Material Library】

📚 Lecture Slides (12 files)
• Chapter 1: Introduction to Machine Learning
• Chapter 2: Linear Regression
• Chapter 3: Logistic Regression
• Chapter 4: Neural Networks
• ...

📝 Assignments (8 files)
• Assignment 1: Linear Regression Implementation (Completed)
• Assignment 2: Logistic Regression Implementation (Completed)
• Assignment 3: Neural Network Implementation (In Progress)
• Assignment 4: CNN Implementation (Not Started)
• ...

📄 Papers (25 articles)
• Required Readings (10 articles)
  - AlexNet (Read)
  - ResNet (Read)
  - Transformer (Unread)
  - ...
• Optional Readings (15 articles)

📖 Notes (30 entries)
• Categorized by chapter
• Categorized by knowledge point
• Key points marked

Directory structure created:
课程资料/
├── 课件/
├── 作业/
├── 论文/
│   ├── 必读/
│   └── 选读/
└── 笔记/

Learning progress table generated

You: Help me read this paper and generate reading notes.
    Paper: Attention Is All You Need (Transformer)

OpenClaw: Reading now...

【Paper Notes】Attention Is All You Need

📄 Basic Information:
• Title: Attention Is All You Need
• Authors: Vaswani et al.
• Published: NIPS 2017
• Citations: 50,000+
• Importance: ⭐⭐⭐⭐⭐

🎯 Core Contributions:
1. Proposed Transformer architecture
2. Entirely based on attention mechanism
3. Abandoned RNNs and CNNs
4. Parallelized training, faster speed

🔑 Key Concepts:
• Self-Attention
• Multi-Head Attention
• Position Encoding
• Feed-Forward Network

📊 Model Architecture:

💡 Core Innovations:
1. Attention Mechanism
   Q = XW_Q, K = XW_K, V = XW_V
   Attention(Q,K,V) = softmax(QK^T/√d_k)V

2. Multi-Head Attention
   Allows the model to attend to different representation subspaces at different positions

3. Position Encoding
   PE(pos,2i) = sin(pos/10000^(2i/d))
   PE(pos,2i+1) = cos(pos/10000^(2i/d))

📈 Experimental Results:
• Machine Translation: BLEU improved by 2.0
• Training Speed: Increased by 3.5 times
• Parameter Count: Reduced by 30%

🤔 Personal Reflections:
• Why is Transformer effective?
• How to apply it to other fields?
• What are the areas for improvement?

🔗 Related Papers:
• BERT (2018)
• GPT (2018)
• Vision Transformer (2020)

Saved to: 论文笔记/Transformer.md
Added to: Knowledge Graph
Created: Review flashcards

# 1. Configure paper reading
clawhub install paper-reader
openclaw config set paper.language "中英文"
openclaw config set paper.detail-level "详细"

# 2. Configure note template
openclaw template add "paper-notes" \
  --fields "基本信息,核心贡献,关键概念,个人思考"

# 3. Configure knowledge graph
openclaw config set knowledge.graph true
openclaw config set knowledge.auto-link true
### 11.4.4 Assignment Assistance

**Scenario: Programming Assignment Assistance**

import torch
import torch.nn as nn
from torchvision import datasets, transforms

# 1. Data loading
transform = transforms.Compose([
    transforms.ToTensor(),
    transforms.Normalize((0.1307,), (0.3081,))
])

train_dataset = datasets.MNIST(
    './data', train=True, download=True, transform=transform
)

# 2. Define network
class SimpleNN(nn.Module):
    def __init__(self):
        super(SimpleNN, self).__init__()
        self.fc1 = nn.Linear(784, 128)
        self.fc2 = nn.Linear(128, 64)
        self.fc3 = nn.Linear(64, 10)
        
    def forward(self, x):
        x = x.view(-1, 784)
        x = torch.relu(self.fc1(x))
        x = torch.relu(self.fc2(x))
        x = self.fc3(x)
        return x

# 3. Training code
# （Detailed implementation）

# 4. Evaluation code
# （Detailed implementation）

**Assignment Review**:

### 11.4.5 Exam Review Planning

**Scenario: Final Exam Review**

**Knowledge Point Flashcards**:

### 11.4.6 Research Project Management

**Scenario: Managing a Research Project**

**Experiment Log**:

### 11.4.7 Full Workflow Configuration

**Student Learning Assistant Configuration Script**:

```bash
#!/bin/bash
# Student Learning Assistant Full Configuration

# 1. Course Material Management
clawhub install file-organizer
openclaw config set courses.path "~/课程资料"
openclaw config set courses.auto-organize true

# 2. Paper Reading
clawhub install paper-reader
openclaw config set paper.language "中英文"
openclaw config set paper.notes-template "标准模板"

# 3. Assignment Assistance
clawhub install code-helper
openclaw config set homework.check true
openclaw config set homework.optimize true

# 4. Exam Review
clawhub install study-planner
clawhub install flashcard-generator
openclaw config set study.daily-reminder true

# 5. Research Project
clawhub install project-manager
openclaw config set project.progress-tracking true
openclaw config set project.milestone-alert true

# 6. Time Management
clawhub install calendar-sync
openclaw config set calendar.auto-create true

echo "✅ Student Learning Assistant configuration complete!"

Time saved: 285 minutes/day × 100 days = 28,500 minutes ≈ 475 hours
Equivalent to: 59 working days
Annual saving: 118 working days (approx. 6 months)

Before Use:
• Papers Read: 20 papers/semester
• Average Grade: 85
• Project Progress: Often delayed

After Use:
• Papers Read: 50 papers/semester (+150%)
• Average Grade: 92 (+8.2%)
• Project Progress: Completed on time
• Additional Gain: Published 1 paper

✅ 24/7 Online: No need to turn on your computer
✅ Multi-device Access: Use anytime on phone, tablet
✅ Automated Execution: Scheduled tasks run automatically
✅ Low Cost: Starting from 0.01 CNY/month
✅ Quick Deployment: Configuration completed in 5 minutes

# 1. Install the two Skills 'Phantom Gods'

# Method 1: Install using ClawHub (Recommended)
npx clawhub@latest install find-skills
npx clawhub@latest install proactive-agent

# Method 2: Install via conversation
You: Help me install the Skills from here:
https://github.com/vercel-labs/skills/tree/main/skills/find-skills
https://github.com/leomariga/ProactiveAgent

OpenClaw: Installing...
✅ find-skills installed successfully
✅ ProactiveAgent installed successfully

# 2. Configure scheduled tasks
You: Every day at 9 AM, search for the following content and generate a daily report:
1. Latest AI industry trends (Baidu Search)
2. OpenClaw community updates (GitHub)
3. Featured tech blogs (custom RSS feed)
4. Academic paper express (Baidu Scholar)

Format requirements:
- Markdown format
- Categorized organization
- Include original links
- Push to Lark

【AI Industry Daily Report】2026-02-11

📊 Today's News:
• OpenAI releases GPT-5.3, performance increased by 40%
• Domestic large model price war escalates, as low as 0.0001 CNY/thousand tokens
• Anthropic launches Claude 5, supporting 1 million tokens context

🔥 OpenClaw Dynamics:
• New Skill: YouSkill search engine integration
• Community Contribution: 15 new Skills this week
• Bug Fix: Fixed Lark message push delay issue

📚 Tech Blogs:
• "How to Build a Personal Knowledge Base with OpenClaw"
• "Skills Development Best Practices"
• "Cloud OpenClaw Performance Optimization Guide"

🎓 Academic Papers:
• New Transformer Optimization Methods (ICLR 2026)
• Latest Advances in Multimodal Large Models
• Agent System Architecture Design

Pushed to Lark ✅

# Configure weekly automatic organization
You: Every Sunday at 8 PM:
1. Read all memos from this week
2. Smart deduplication (merge similar topics)
3. Categorize (Work/Study/Life)
4. Extract incomplete to-dos
5. Generate next week's plan
6. Push to Lark

【This Week's Memo Organization】2026-02-10

📊 This Week's Statistics:
• New Memos: 45
• After deduplication: 28
• Important Items: 8
• Completed: 20
• Pending: 8

📋 Categorized Organization:

【Work】(15 items)
✅ Complete Client A project proposal (Completed)
✅ Attend technical review meeting (Completed)
⏳ Prepare next week's client proposal (In progress)
⏳ Complete project documentation (To start)

【Study】(8 items)
✅ Read React 19 documentation (Completed)
✅ Complete Machine Learning Assignment 3 (Completed)
⏳ Study Transformer paper (In progress)

【Life】(5 items)
✅ Schedule physical exam (Completed)
⏳ Buy birthday gift (Pending)
⏳ Organize photos (Pending)

🎯 Next Week's Plan:
• Complete and present client proposal
• Start graduation thesis experiments
• Complete Transformer paper reading
• Buy birthday gift

⚠️ Important Reminders:
• Client proposal deadline: Wednesday
• Birthday gift needs to be prepared in advance
• Physical exam report available on Tuesday

Pushed to Lark ✅

# 1. Daily To-Do Generation
You: When generating the daily report, also:
1. Check today's to-do completion status
2. Generate tomorrow's to-do list
3. Mark priority
4. Set reminder time
5. Push to Lark

# 2. Scheduled Reminder
You: Every day at 3 PM:
- Remind of incomplete high-priority tasks

【Today's To-Dos】2026-02-11 09:00

🎯 High Priority (3 items):
• Complete final draft of Client B report (Deadline: Today 18:00)
• Attend technical review meeting (Time: 14:00)
• Submit project weekly report (Deadline: Today 17:00)

📋 Medium Priority (2 items):
• Read Transformer paper
• Organize meeting minutes

🔄 Low Priority (1 item):
• Update personal blog

---

【Afternoon Reminder】2026-02-11 15:00

⚠️ High-priority task reminder:

• Complete final draft of Client B report
  - Deadline: Today 18:00
  - Remaining time: 3 hours
  - Current progress: 80%
  - Suggestion: Finish promptly

• Submit project weekly report
  - Deadline: Today 17:00
  - Remaining time: 2 hours
  - Current progress: Not started
  - Suggestion: Start immediately

You have been @mentioned, please handle promptly ⏰

# 1. Generate PPT
You: Using Baidu Search and Baidu Scholar, generate a PPT introducing the principles of OpenClaw

OpenClaw: Generating...

【PPT Generation Progress】
✅ Search for relevant information (Baidu Search)
✅ Search for academic papers (Baidu Scholar)
✅ Download image assets (20 images)
✅ Generate PPT outline
✅ Fill content
✅ Design layout
✅ Export PPT

【Generation Results】
• File Name: OpenClaw Principles Introduction.pptx
• Pages: 25 pages
• Assets: 20 images, 5 charts
• Size: 15MB
• Download Link: [Click to download]

Asset files saved to: /output/openclaw-ppt/

# 2. Configure automatic cleanup
You: Every day at 9 AM, check my output directory:
- Compare with backup from 24 hours ago
- Identify redundant files for deletion
- Generate cleanup list
- Confirm in daily report
- Delete only after my confirmation

OpenClaw: Automatic cleanup task configured

---

【Cleanup Suggestions】2026-02-12 09:00

📁 Output Directory Check:

Deletable files (3 items):
• openclaw-ppt/assets/ (20 images, 50MB)
  - Creation time: Yesterday 10:00
  - Last accessed: Yesterday 10:30
  - Suggestion: PPT downloaded, assets can be deleted

• temp-images/ (15 images, 30MB)
  - Creation time: 3 days ago
  - Last accessed: 3 days ago
  - Suggestion: Temporary files, can be deleted

• backup-20260210/ (Backup files, 100MB)
  - Creation time: 2 days ago
  - Suggestion: New backup exists, old backup can be deleted

💾 Space that can be freed: 180MB

Confirm deletion? Reply "confirm" to execute deletion

# 1. User proposes requirements
You: Help me develop a simple to-do web application

# 2. OpenClaw analyzes requirements
OpenClaw: Okay, let me analyze the requirements...

【Requirements Analysis】
• Functionality: Add, delete, modify, and query to-do items
• Tech Stack: React + Node.js + MongoDB
• Estimated Work Hours: 4 hours
• Difficulty: Medium

【Development Plan】
1. Design database structure (30 minutes)
2. Develop backend API (90 minutes)
3. Develop frontend interface (120 minutes)
4. Test and debug (30 minutes)

Start development?

# 3. Call Claude Code for execution
You: Start

OpenClaw: Calling Claude Code...

【Development Progress】
✅ Database design completed
✅ Backend API development completed
✅ Frontend interface development completed
⏳ Testing...

【Code Statistics】
• Backend Code: 500 lines
• Frontend Code: 800 lines
• Test Code: 200 lines
• Total: 1500 lines

【Project Structure】
todo-app/
├── backend/
│   ├── models/
│   ├── routes/
│   └── server.js
├── frontend/
│   ├── src/
│   └── public/
└── tests/

✅ Development complete!
Project saved to: ~/projects/todo-app/

{
  "systemPrompt": "You are my AI assistant. After each reply, add the catchphrase: 'Master, is there anything else I can help with?'"
}

You: Help me configure the Lark bot
[Attach Lark configuration document link]

OpenClaw: Okay, I'll help you configure it. According to the document, the following steps are required:

1. Create an application on the Lark Open Platform
   - Visit: https://open.feishu.cn
   - Click "Create Enterprise Custom App"
   - Fill in application information

2. Get App ID and App Secret
   - Find on the application details page
   - Copy and save

3. Configure event subscription
   - Set request URL
   - Subscribe to message events

4. Configure OpenClaw
   ```json
   {
     "feishu": {
       "appId": "Your App ID",
       "appSecret": "Your App Secret"
     }
   }

---

### 11.5.8 Skills Ecosystem Supplementary Resources

**Baidu Skills Library**:

Official Documentation: https://cloud.baidu.com/doc/qianfan/s/Mmlda41a2

Recommended Skills:
- baidu-search: Baidu Search (comes with cloud)
- baidu-scholar: Baidu Scholar
- baidu-baike: Baidu Baike
- Other Baidu ecosystem Skills

**YouSkill - Skills Search Engine**:

Website: https://labs.youware.com/youskill

Features:
- More powerful than find-skills
- Provides combined workflow solutions for multiple Skills
- Community-driven, endless possibilities

Usage Scenarios:
- Complex tasks require multiple Skills to cooperate
- Find the best Skill combination
- Learn community best practices

**Practical Demonstration**:

---

### 11.5.9 Full Configuration Script

**Cloud OpenClaw Super Individual Configuration**:

```bash
#!/bin/bash
# Cloud OpenClaw Super Individual Full Configuration

echo "🚀 Starting Cloud OpenClaw configuration..."

# 1. Install the two Skills 'Phantom Gods'
echo "📦 Installing the two Skills 'Phantom Gods'..."
npx clawhub@latest install find-skills
npx clawhub@latest install proactive-agent

# 2. Configure Smart Daily Report System
echo "📰 Configuring Smart Daily Report System..."
openclaw schedule add "daily-report" \
  --time "09:00" \
  --prompt "Generate AI industry daily report, including: Baidu Search, GitHub dynamics, tech blogs, academic papers" \
  --channel "lark"

# 3. Configure Smart Memo Management
echo "📝 Configuring Smart Memo Management..."
openclaw schedule add "weekly-notes-cleanup" \
  --time "Sun 20:00" \
  --prompt "Organize this week's memos: deduplicate, categorize, extract to-dos, generate next week's plan"

# 4. Configure Rolling To-Do Reminders
echo "⏰ Configuring Rolling To-Do Reminders..."
openclaw schedule add "daily-todo" \
  --time "09:00" \
  --prompt "Generate today's to-do list"

openclaw schedule add "todo-reminder" \
  --time "15:00" \
  --prompt "Remind of incomplete high-priority tasks"

# 5. Configure Cloud Content Creation
echo "🎨 Configuring Cloud Content Creation..."
clawhub install banana-ai
openclaw config set content.auto-cleanup true

openclaw schedule add "file-cleanup" \
  --time "09:00" \
  --prompt "Check output directory, generate cleanup suggestions"

# 6. Configure AI Programming Collaboration
echo "💻 Configuring AI Programming Collaboration..."
clawhub install code-planner
openclaw config set coding.use-claude-code true

# 7. Configure Persona
echo "🤖 Configuring persona..."
openclaw config set systemPrompt "You are my AI assistant, focused on improving personal efficiency. After each reply, add: 'Is there anything else I can help with?'"

# 8. Configure Baidu Skills
echo "🔍 Configuring Baidu Skills..."
openclaw config set search.engine "baidu"
openclaw config set search.scholar true

echo "✅ Cloud OpenClaw configuration complete!"
echo ""
echo "📊 Configured Features:"
echo "  ✅ Smart Daily Report System (Daily 9:00)"
echo "  ✅ Smart Memo Management (Every Sunday 20:00)"
echo "  ✅ Rolling To-Do Reminders (Daily 9:00 and 15:00)"
echo "  ✅ Cloud Content Creation (Automatic cleanup)"
echo "  ✅ AI Programming Collaboration"
echo "  ✅ The two Skills 'Phantom Gods'"
echo ""
echo "🎯 You are now a super individual!"

Before Use (Traditional Method):
• Manually check news daily: 30 minutes
• Organize memos weekly: 60 minutes
• Manage to-dos daily: 20 minutes
• Create PPT: 120 minutes
• Programming project planning: 60 minutes
• Total: 290 minutes/day

After Use (Cloud OpenClaw):
• Automatic daily report push: 0 minutes (automatic)
• Automatic memo organization: 0 minutes (automatic)
• Automatic to-do reminders: 0 minutes (automatic)
• AI-assisted PPT: 20 minutes
• AI programming collaboration: 15 minutes
• Total: 35 minutes/day

Time saved: 255 minutes/day ≈ 4.25 hours/day
Monthly saving: 94 hours ≈ 12 working days
Annual saving: 1,128 hours ≈ 141 working days

Costs:
- Cloud server: 0.01 CNY/first month, 50 CNY/month (long-term)
- Skills Configuration: 0 CNY (open source free)
- Learning cost: 4 hours
- Total cost: 50 CNY/month

Benefits:
- Time saved: 94 hours/month
- Calculated at 50 CNY/hour: 4,700 CNY/month
- ROI: (4,700 - 50) / 50 = 9,300%

✅ Daily report push
✅ Information gathering
✅ Meeting minutes
✅ Data analysis

✅ Unified storage
✅ Automatic archiving
✅ Smart search
✅ Knowledge graph

✅ Topic suggestions
✅ Optimization suggestions
✅ Risk alerts
✅ Data analysis

✅ Lark/WeCom/DingTalk
✅ Notion/Memos
✅ Calendar/Reminders
✅ Multi-device sync

Requirements → OpenClaw analysis → Generate development plan → 
Call Claude Code → Automated programming → Test verification → 
Discover Bug → Automatic fix → Complete delivery

✅ 24/7 uninterrupted development
✅ Automated testing and fixing
✅ Stable code quality
✅ 10x increase in development efficiency

You: Help me install Claude Code

OpenClaw: Okay, installing Claude Code...

📦 【Install Claude Code】

⏳ Installation Steps:
1. Check system environment... ✅
2. Download Claude Code... ✅
3. Install dependencies... ✅
4. Configure environment variables... ✅
5. Test installation... ✅

✅ Installation complete!

You can start using it now!

# 1. Install Claude CLI
npm install -g @anthropic-ai/claude-cli

# 2. Configure API Key
export ANTHROPIC_API_KEY="your-api-key"

# 3. Configure OpenClaw
clawhub install coding-agent
openclaw config set coding.tool "claude-code"

You: Use Claude Code to help me develop a to-do application,
    Requirements:
    - Use React + TypeScript
    - Support adding, deleting, completing tasks
    - Data persistence to localStorage
    - Simple and elegant interface

OpenClaw: Okay, calling Claude Code for development...

🔧 【Development Task】To-Do Application

Step 1: Create project structure ✅
Step 2: Implement core functionality ✅
Step 3: Add styles ✅
Step 4: Test functionality ✅

✅ Development complete!

📁 Project Files:
• Source code: todo-app/
• Bundled files: todo-app/dist/

🚀 How to run:
cd todo-app
npm install
npm run dev

Project files sent to Lark ✅

You: Use Claude Code to develop a user management system,
    and automatically test and fix all bugs

OpenClaw: Okay, developing and testing...

Phase 1: Backend development ✅
Phase 2: Frontend development ✅
Phase 3: Automated testing ⏳

Test Results:
✅ Passed: 45 tests
❌ Failed: 3 tests

Phase 4: Automated Bug Fixing ⏳
Fixing bugs...

Fix 1: Email format validation ✅
Fix 2: Cascade deletion ✅
Fix 3: Pagination calculation ✅

Phase 5: Regression testing ✅
✅ Passed: 48 tests
❌ Failed: 0 tests

✅ All tests passed!

# 1. Install Coding Agent Skill
clawhub install coding-agent

# 2. Configure Claude Code
openclaw config set coding.tool "claude-code"
openclaw config set coding.model "claude-3-5-sonnet"
openclaw config set coding.api-key "YOUR_ANTHROPIC_API_KEY"

# 3. Configure development environment
openclaw config set coding.workspace "~/projects"
openclaw config set coding.auto-test true
openclaw config set coding.auto-fix true

Weekly development tasks:
• New feature development: 3 × 8 hours = 24 hours
• Bug fixing: 5 × 1 hour = 5 hours
• Total: 29 hours

After using Coding Agent:
• New feature development: 3 × 45 minutes = 2.25 hours
• Bug fixing: 5 × 5 minutes = 0.42 hours
• Total: 2.67 hours

Weekly saving: 26.33 hours
Monthly saving: 105 hours ≈ 13 working days

⚠️ Important Reminder:
1. Code review: AI-generated code requires human review
2. Test verification: Thorough testing is essential
3. Security check: Check for security vulnerabilities
4. Code backup: Regularly back up important code

💰 Cost Optimization:
1. Use Coding Plan: Claude Pro $20/month
2. Reasonable use: Avoid over-reliance
3. Cache results: Reuse code for similar tasks
4. Batch processing: Complete multiple tasks at once