# Tweet Processor Skill

> Extract and categorize insights from tweet links into structured notes.

- Skill: `modbender/tweet-processor-skill` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds add modbender/tweet-processor-skill`
- Raw SKILL.md: https://api.skillmd.com/api/skills/modbender/tweet-processor-skill/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: modbender (https://skillmd.com/u/modbender)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/modbender/tweet-processor-skill

---


# 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

```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