Content Recycler
SkillCommunicationTurn one long-form piece into LinkedIn posts, X threads, Instagram carousels, TikTok scripts, and emails. Use to multiply reach from existing content.
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Content Recycler skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by navinspire-ia/navin in navin/skills/content-recycler/SKILL.md and read by ahel’s review.
Overview
One strong article contains 5-15 social assets. Extract the ideas and rewrite natively per platform - never copy-paste.
Recycling map (from one article)
| Output | How |
|---|---|
| 3-5 LinkedIn posts | one insight each, new hook, personal angle |
| 1 X thread | the full argument, one idea per tweet, strong opener + payoff |
| 1 carousel (LinkedIn/IG) | 8-10 slides: hook → steps → CTA |
| 2-3 short video scripts | 30s each: hook, one point, punchline |
| 1 newsletter section | summary + "read more" link |
| Quote graphics | the 2-3 most quotable lines |
Workflow
- Ingest the source (URL via
web_fetch, or file viaread_file). - Extract the atomic ideas: claims, numbers, steps, stories, contrarian takes.
- Rank ideas by hook potential.
- Produce each output in its platform's native format (
social-media-managercheatsheet). - Deliver as a batch with suggested posting dates spread over 2-4 weeks.
Rules
- Each derivative stands alone - no "as I wrote in my article" dependency.
- Rewrite hooks from scratch per platform; recycle ideas, not sentences.
- Keep the brand voice consistent (
brand-voice-manager).
Signals
- GitHub stars
- 36
- Forks
- 4
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
content-recycler-navinspire-ia- Source
- github.com/navinspire-ia/navin
github.com/navinspire-ia/navin
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