An automated scanning and archiving tool that transforms high-engagement X (Twitter) threads into structured Obsidian notes with expert translation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install x-deep-miner
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-deep-miner 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-Deep-Miner?
X-Deep-Miner is a robust automation tool designed for deep-dive research and archiving of high-value content from X (Twitter). By utilizing the Openclaw Skills framework, this tool focuses on capturing viral threads and long-form posts within specific domains like Artificial Intelligence, US Stocks, and Productivity. It solves the problem of information overload by only selecting high-engagement content (over 1000 bookmarks) and organizing it into a professional personal knowledge base.
This skill is particularly valuable for users who want to bridge the gap between social media trends and long-term knowledge retention. It features a sophisticated translation engine that converts English technical insights into professional Chinese documentation while carefully preserving specialized terminology. By integrating directly with Obsidian, it allows for a seamless workflow between discovery on social media and structured analysis in your local environment, making it a cornerstone for those building a second brain with Openclaw Skills.
X-Deep-Miner Use Cases
- Tracking viral AI breakthroughs and technical tutorials for research and development purposes.
- Monitoring macro-economic sentiment and US stock market analysis for financial strategy.
- Archiving high-impact productivity systems and life-hacking threads for personal growth.
- Building a localized, searchable technical library from English-language social media sources.
How X-Deep-Miner Works
- The system initiates an hourly scan of X (Twitter) to identify posts meeting specific engagement thresholds.
- Content is filtered based on category keywords (AI, US Stocks, Life) and a minimum bookmark count of 1000.
- The skill identifies long-form content and multi-post threads (minimum 5 tweets) for extraction.
- High-fidelity translation is performed, ensuring technical terms remain accurate and professional.
- The processed content is formatted into Markdown, including image preservation, and exported to a categorized folder structure compatible with Obsidian.
X-Deep-Miner Setup
To start using this tool within the Openclaw Skills ecosystem, follow these configuration steps:
# Manually execute a content scan
python3 scripts/x_deep_miner.py scan
# Check the operational status of the miner
python3 scripts/x_deep_miner.py status
# Configure an automated hourly scan using Crontab
crontab -e
0 * * * * cd /path/to/project && python3 scripts/x_deep_miner.py scan
X-Deep-Miner Data Schema & Taxonomy
The output is organized into a hierarchical folder structure designed for Obsidian vaults:
| Folder Name | Content Type | Engagement Trigger |
|---|---|---|
| obsidian-output/AI/ | Artificial Intelligence & Tech | Bookmarks > 1000 |
| obsidian-output/US_Stock/ | Macro-economics & US Stocks | Bookmarks > 1000 |
| obsidian-output/Life/ | Productivity & Life Hacks | Bookmarks > 1000 |
Each Markdown file includes the original tweet metadata, high-resolution images, and the translated expert text, ensuring compatibility with other Openclaw Skills that process local Markdown files.
X-Deep-Miner Advanced Features
- Smart filtering logic that specifically targets high-value threads with 5 or more sequential posts.
- Professional translation layer that preserves industry-specific terminology in Tech and Finance.
- Automated lifecycle management via Crontab for continuous data mining without manual intervention.
- Native Obsidian integration providing a structured layout for images and metadata tags.
SKILL.md
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