A browser-driven skill that simulates human surfing on X to capture, translate, and organize For You feed content into structured Chinese notes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install x-manual-surf-notes
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install x-manual-surf-notes using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is X Manual Surf Notes?
X Manual Surf Notes is a specialized tool designed for users who need to process social media intelligence without relying on restricted APIs. By utilizing a Chrome Extension Relay, this skill allows an AI agent to mimic human browsing behavior on X (Twitter), specifically focusing on the For You recommendation feed. It ensures that content is consumed naturally, avoiding common scraping triggers while providing high-quality data extraction.
This skill is part of the broader ecosystem of Openclaw Skills, focusing on bridging the gap between raw social media streams and structured personal knowledge management. It handles the heavy lifting of scrolling, navigating to post details, and expanding long-form content, allowing researchers to maintain a high-density log of information with minimal manual effort.
X Manual Surf Notes Use Cases
- Creating a daily digest of industry trends from the X For You feed.
- Automating the translation of English tech-twitter threads into concise Chinese research notes.
- Maintaining a deduplicated archive of social media signals for market analysis.
- Monitoring specific niche topics by leveraging the X recommendation algorithm through browser simulation.
How X Manual Surf Notes Works
- The agent focuses the browser tab on the X home URL and verifies the Chrome Extension Relay is active.
- It performs human-like scrolling (800-1400px increments) to trigger the loading of the For You feed.
- Unique status URLs are sampled from the viewport and normalized to remove tracking parameters.
- The agent navigates to each tweet's detail page, expands threads via Show more buttons, and captures the author, timestamp, and core text.
- Content is processed through an LLM to generate a Chinese summary that preserves key links, numbers, and product names.
- A deduplication check is performed against existing entries using the tweet's unique status ID.
- The final structured entry is appended to a local markdown file, categorized by run batch and time.
X Manual Surf Notes Setup
To get started with this skill, ensure you have the necessary environment configured for Openclaw Skills:
# 1. Ensure your browser tool is configured with profile='chrome'
# 2. Open X.com in Chrome and ensure you are logged in
# 3. Activate the Openclaw Chrome Extension Relay (Badge should show ON)
# 4. Create the target workspace directory
mkdir -p /home/makai/.openclaw/workspace/projects/x-ai-surf/
X Manual Surf Notes Data Schema & Taxonomy
The skill organizes data into a structured Markdown file at x-ai-notes.md. Each run is grouped into a batch:
| Level | Field | Description |
|---|---|---|
| Batch | Run Time | YYYY-MM-DD HH:mm (GMT+8) |
| Batch | Source | Feed type (e.g., X Home / For You) |
| Item | Time | Original tweet publication timestamp |
| Item | Content | @handle followed by a 1-3 sentence Chinese summary |
| Item | Link | The canonical https://x.com/user/status/id URL |
| Item | Comment | Value assessment: Worth following, Pending, or Noise |
X Manual Surf Notes Advanced Features
- Intelligent deduplication across multiple sessions and batches.
- Context-aware thread expansion for deep-dive information gathering.
- Low-token translation logic designed to maximize information density while minimizing costs.
- Support for secondary retweet analysis, marking items as 'second-hand' content.
- Flexible batch sizing (N=5 for quick tests, N=50+ for deep research runs).
SKILL.md
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