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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 discovered
  • tweet-notes/tech.md — Development techniques, workflows
  • tweet-notes/design.md — UI/UX insights
  • tweet-notes/people.md — Accounts to follow
  • tweet-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
    
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💻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