Automatically extracts and categorizes high-value technical insights from X/Twitter links into structured Markdown notes.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tweet-processor
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 tweet-processor 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 Tweet Processor Skill?
The Tweet Processor Skill is a specialized automation tool designed for developers, researchers, and creators who treat social media as a primary source of learning. By utilizing this within your Openclaw Skills setup, you can transform ephemeral tweets into a permanent, searchable knowledge base. The skill focuses on capturing high-signal information such as new developer tools, UI/UX design patterns, and technical workflows while filtering out the noise common on social platforms.
Built to enhance personal knowledge management, this skill ensures that every valuable link you encounter on X is properly documented and categorized. It is a core component for anyone looking to optimize their information intake using Openclaw Skills, providing a seamless bridge between social discovery and technical documentation.
Tweet Processor Skill Use Cases
- Capturing new software, services, or APIs shared by industry leaders.
- Documenting innovative UI/UX design insights for design systems.
- Archiving specific development techniques and coding workflows.
- Building a curated list of influential people and accounts within the tech ecosystem.
- Converting casual browsing into a structured research session for technical projects.
How Tweet Processor Skill Works
- The user provides a tweet URL (x.com or twitter.com) to the AI agent.
- The skill navigates to the tweet to analyze the content, media, and context.
- It extracts key insights, identifying tools, techniques, or people mentioned.
- The data is categorized into specific Markdown files based on the nature of the insight.
- A formatted entry is appended to the relevant files, including the date, source URL, and context.
Tweet Processor Skill Setup
To activate the Tweet Processor Skill within your Openclaw Skills environment, ensure your agent has web browsing and file system access. No complex external dependencies are required beyond the basic agent configuration.
# Ensure the target directory exists in your workspace
mkdir -p tweet-notes
# The skill will automatically generate the required .md files upon first use
Tweet Processor Skill Data Schema & Taxonomy
The skill organizes extracted data into a structured folder hierarchy to keep your research organized. Using Openclaw Skills ensures a consistent format across all your notes:
| File Name | Data Type Captured |
|---|---|
tweet-notes/tools.md |
Software, services, and API discoveries. |
tweet-notes/tech.md |
Development techniques and technical workflows. |
tweet-notes/design.md |
UI/UX insights and design patterns. |
tweet-notes/people.md |
High-value accounts and influencers to follow. |
tweet-notes/misc.md |
General insights and valuable context. |
Tweet Processor Skill Advanced Features
- Smart Multi-Categorization: A single tweet can be automatically appended to multiple files if it contains both tool recommendations and technical workflows.
- Noise Filtering: Intelligently skips fluff, engagement bait, and promotional content to maintain a high-quality knowledge base.
- Automated Metadata: Every entry includes standardized fields for Title, Date, and URL, making it easy to integrate with other Openclaw Skills for data analysis.
- Selective Extraction: Focuses only on genuinely useful insights, ensuring your documentation remains concise and actionable.
SKILL.md
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