Content Recycler

SkillCommunication

Turn one long-form piece into LinkedIn posts, X threads, Instagram carousels, TikTok scripts, and emails. Use to multiply reach from existing content.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Content Recycler skill

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)

OutputHow
3-5 LinkedIn postsone insight each, new hook, personal angle
1 X threadthe full argument, one idea per tweet, strong opener + payoff
1 carousel (LinkedIn/IG)8-10 slides: hook → steps → CTA
2-3 short video scripts30s each: hook, one point, punchline
1 newsletter sectionsummary + "read more" link
Quote graphicsthe 2-3 most quotable lines

Workflow

  1. Ingest the source (URL via web_fetch, or file via read_file).
  2. Extract the atomic ideas: claims, numbers, steps, stories, contrarian takes.
  3. Rank ideas by hook potential.
  4. Produce each output in its platform's native format (social-media-manager cheatsheet).
  5. 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
22
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
content-recycler
Source
github.com/navinspire-ia/navin