## Step 1: Parallel scraping of popular content from three major platforms over the past 7 days

Using Google Search, we conducted parallel searches on three major platforms, with the following keywords and selection criteria:

### YouTube (Preferred Platform)

- Use `category: video`

- Keyword combination (choose one):

- "AI Agent" OR "AI Intelligent Agent" + "past week"

- "knowledge base" OR "知识库" + "past week"

- "content creation" OR "past week"

- "small product" OR "small but exquisite product" + "past week"

- "creator economy" OR "creator economy" + "past week"

- Use `freshness: week` to limit to the past 7 days.

- Expected result: Videos with >10,000 views or >100 comments

### X/Twitter (Preferred Platform)

- Use `category: tweet`

- Keyword combination:

- "AI Agent" OR "knowledge base" OR "content creation" OR "creator economy" OR "personal brand"

- Use `freshness: week`

- Expected result: Tweets with >50 retweets or >200 likes

### Reddit

- Use `category: general` + `includeDomains: ["reddit.com"]`

- Keyword combination:

- "AI Agent" OR "knowledge base" OR "content creation" OR "small product" OR "indie maker"

- Use `freshness: week`

- Expected result: Posts with more than 100 likes

**Key Implementation Points:**

- Search 3-4 times on each platform, using different keyword combinations to ensure broad coverage.

- Prioritize crawling content from YouTube and X.

- Record the number of materials captured from each platform.

Step 2: Filtering and Deduplication - Keep 5-7 of the highest quality data.

All captured materials are filtered and deduplicated, **ultimately retaining 5-7 of the highest quality materials**:

### Screening Criteria

1. **Content Relevance**: The title or abstract must contain one of the following keywords:

- AI Agent / AI Intelligent Agent

- knowledge base / knowledge management

- content creation / content creation / creator economy

- small product / small and beautiful product / indie product

- personal brand / individual brand / solopreneur

2. **Quality Standards** (based on platform):

- YouTube: Views > 10,000 or Comments > 100

- X/Twitter: 50 retweets or 200 likes

- Reddit: Upvotes > 100

3. **Duplicate Removal:** If the same content appears on multiple platforms, only the one with the highest engagement will be retained.

4. **Top 5-7 Filtering**: Sort by the following priority and keep 5-7 items:

- Highest interaction rate

- Highest content quality

- The most novel topic

- Topic diversity (avoid all 5 materials being on the same topic)

### Downgrade Processing

If there are fewer than 5 items after filtering:

- **First Downgrade:** Reduce the interaction threshold by 50% (e.g., YouTube views > 5000)

- **Second downgrade:** As long as the keyword is included, there is no limit to the number of interactions.

- **Third downgrade**: Use searchBoards to search for relevant materials saved within the past 7 days from the user's knowledge base in "Overseas Materials" or "00-Inbox".

**Output**: A list of filtered valid materials (5-7 items)

Step 3: Obtain detailed information and translate it - process 5-7 documents.

For the **5-7 selected materials**:

1. **Use the fetch tool to retrieve the complete content:**

- Retrieve original title, text summary, and publication date

- Extract key points (3-5 main points)

- Record the original link

2. **Automatic Translation**:

- If the original text is in English, translate it into Chinese.

- Retain the original English text, including links and key terms.

- Translation format:

```

[Chinese Title]

Original Title: [English Title]

Key points:

1. [Chinese translation]

2. [Chinese translation]

3. [Chinese translation]

Original link: [URL]

Source platforms: [YouTube/X/Reddit]

Publication time: [Time]

Interaction data: [Number of views/Number of likes/Number of comments]

```

3. **Content Classification**:

- Tag each piece of content: AI Agent / Knowledge Base / Content Creation / Small and Beautiful Products / Personal Brand

- Content type categorized as: Tutorials / Case Studies / Viewpoints / Tool Recommendations / Industry Trends

**Note:** If the fetch fails (e.g., login is required), retain the title and link, and mark it "Manual viewing required."

Step 4: Generate a weekly material report and save it to your personal brand section.

Use the write tool to create a weekly material scraping report and save it to the **Personal Branding section** (ID: 019b6986-8e24-7149-96d9-6250c0f624c0):

### Report Content Structure

```markdown

# Overseas Material Weekly Report - [YYYY Year, Week W] ([MM Month DD Day] - [MM Month DD Day])

> 📄 **Location of this report: Personal Branding Section**

> 📎 **Original Link**: The link is included in the article; click to view.

---

## 📊 Scraping Overview

- **Fetch Time**: [Specific Time]

- **Target Platforms**: YouTube / X / Reddit

- **Crawling Scope**: Past 7 days

- **Number of Original Materials**: [Quantity]

- **Number of materials after filtering**: [Actual number] items (selected)

---

## 🎯 Platform Distribution

- YouTube: [Number] items

- X/Twitter: [Number] posts

- Reddit: [Number] entries

- GitHub: [Number] entries (if any)

---

## 🏷️ Topic Distribution

- AI Agent: [Quantity] items

- Knowledge Base: [Quantity] entries

- Content Creation: [Quantity] items

- Small and exquisite products: [Quantity] items

- Personal Brands: [Quantity] items

---

## ⭐ This Week's Featured Content (Top [Actual Quantity])

### 1. 【[Platform]】[Material Title]

Source: [Platform] - [Author/Channel]

- **Publication Time**: [Time]

- **Duration/Interaction Data**: [Detailed Data]

- **Core Insight:** [A one-sentence summary of the core value]

Why I recommend it:

- [Reason for Recommendation 1]

- [Reason for Recommendation 2]

- [Reason for Recommendation 3]

- **Key Insights**:

- [Insight 1]

- [Insight 2]

- [Insight 3]

- **Original Link**: [Full URL]

---

### 2. 【[Platform]】[Material Title]

...

### 3-7. [Other Materials]

...

---

## 📝 Headings (5 items)

Based on this week's content, generate 5 titles that can be directly used on WeChat Official Accounts/Xiaohongshu:

1. **[Heading Type]]: ✅ [Specific Heading]

*Subtitle: [Supplementary Notes]*

2. **[Heading Type]]: ✅ [Specific Heading]

*Subtitle: [Supplementary Notes]*

3. **[Heading Type]]: ✅ [Specific Heading]

*Subtitle: [Supplementary Notes]*

4. **[Heading Type]**: ✅ [Specific Heading]

*Subtitle: [Supplementary Notes]*

5. **[Heading Type]]: ✅ [Specific Heading]

*Subtitle: [Supplementary Notes]*

**Title Design Logic Explanation**:

- Covering different perspectives: practical analysis/business models/knowledge management/personal branding/automation, etc.

- Matches the user's style: sincere, insightful, and concise.

- It can attract clicks while delivering real value.

- Each title corresponds to an in-depth analysis of a key theme from this week.

---

## 💡 Topic Selection Suggestions

Based on the materials from this week, we recommend the following 3-5 potential topic directions:

1. **[Topic Selection Direction 1]**

- Angle: [Entry angle]

- Entry Point: [Specific Entry Point]

- Value: [The value provided to users]

2. **[Topic Selection Direction 2]**

- Angle: [Entry angle]

- Entry point: [Specific entry point]

- Value: [The value provided to users]

3. **[Topic Selection Direction 3]**

- Angle: [Entry angle]

- Entry Point: [Specific Entry Point]

- Value: [The value provided to users]

---

## 📝 Notes

- ✅ This week's report is saved in the "Personal Branding" section.

- ✅ The original link is included in the weekly report; click to view.

- 📌 [This Week's Theme or Trend Observation]

- 📌 [In case of downgrade, failure, or other matters requiring attention]

```

**After completion**: Notify the user:

- The Overseas Material Weekly Report has been saved to the "Personal Branding" section.

This week, [X] high-quality articles were selected; the original links are included in the weekly report.

- Click the link in the weekly report to view the original article.