✓ Verified
📁 File Management
✓ Enhanced Data
Tweet Processor
Extract and categorize insights from tweet links into structured notes.
- Rating
- 4.5 (74 reviews)
- Downloads
- 2,922 downloads
- Version
- 1.0.0
Overview
Extract and categorize insights from tweet links into structured notes.
Complete Documentation
View Source →Tweet Processor Skill
Extract and categorize insights from tweet links into structured notes.
Usage
When user sends a tweet URL, automatically:
- Navigate to the tweet
- Extract key insights (tools, tech, people, learnings)
- Categorize into tweet-notes/ files
- Append with proper formatting
Input
- Tweet URL (any x.com or twitter.com link)
Output
Appends to:
tweet-notes/tools.md— Software, services, APIs discoveredtweet-notes/tech.md— Development techniques, workflowstweet-notes/design.md— UI/UX insightstweet-notes/people.md— Accounts to followtweet-notes/misc.md— Other valuable insights
Format
markdown
## [Brief Title]
**Date:** YYYY-MM-DD
**URL:** [tweet URL]
**Key takeaway:** [What matters]
**Why it matters:** [Brief context]
---
Rules
- Be selective — only genuinely useful insights
- Skip fluff and noise
- One insight can go into multiple files if relevant
- Always include the source URL
- Use today's date
Installation
Terminal bash
openclaw install tweet-processor
Copied!
💻Code Examples
example.md
## [Brief Title]
**Date:** YYYY-MM-DD
**URL:** [tweet URL]
**Key takeaway:** [What matters]
**Why it matters:** [Brief context]
---Tags
#notes_and-pkm
Quick Info
Category File Management
Model Claude 3.5
Complexity One-Click
Author caqlayan
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
Ready to Install?
Get started with this skill in seconds
openclaw install tweet-processor
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