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// Skill profile

Tweet Processor Skill

Extract and categorize insights from tweet links into structured notes.

by caqlayan · published 2026-03-22

社交媒体API集成
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:caqlayan/caqlayan-tweet-processor
View on GitHub
// Full documentation

# 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
  • // Comments
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    // Related skills

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