Tweet Processor

Extract key insights from tweet URLs and categorize them into structured, formatted notes across tools, tech, design, people, and miscellaneous files.

Tweet Processor Skill

Extract and categorize insights from tweet links into structured notes.

Usage

When user sends a tweet URL, automatically:

1. Navigate to the tweet
2. Extract key insights (tools, tech, people, learnings)
3. Categorize into tweet-notes/ files
4. 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

## [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