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Content Repurposing

Organization
101-skills
content-repurposing

Content atomization — turn one piece of content into many formats. Covers blog-to-thread, blog-to-carousel, podcast-to-blog, video-to-quotes, and more. Use for: content marketing, social media, multi-platform distribution, content strategy. Triggers: content repurposing, repurpose content, content atomization, content recycling, one to many content, multi platform content, cross post, adapt content, reformat content, blog to thread, blog to video, podcast to blog, content multiplication

Overview

Publisher101-skills
Repositorysuperpowers
Skill namecontent-repurposing
Stars
5
Forks
3
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by 101-skills on GitHub. Read the source before you install it.

Installation

Install the Content Repurposing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/101-skills/superpowers/tree/main/guides/content/content-repurposing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/101-skills/superpowers.git /tmp/superpowers
mkdir -p .claude/skills
cp -r /tmp/superpowers/guides/content/content-repurposing .claude/skills/content-repurposing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Repurposing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Content Repurposing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Content Repurposing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Install the belt CLI skill: npx skills add belt-sh/cli

Content Repurposing

Turn one piece of content into many formats via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash
belt login

# Generate a quote card from a blog pull-quote
belt app run falai/flux-dev-lora --input '{
  "prompt": "minimal quote card design, dark navy background, large white quotation marks, clean sans-serif typography space, modern professional design, social media post format",
  "width": 1024,
  "height": 1024
}'

The Content Pyramid

One source piece can generate 10+ derivative assets:

            ┌──────────┐
            │ LONG-FORM │  Blog post, podcast, video, whitepaper
            │  SOURCE   │
            └─────┬─────┘
                  │
        ┌─────────┼─────────┐
        ▼         ▼         ▼
   ┌─────────┐ ┌──────┐ ┌──────────┐
   │ MEDIUM  │ │MEDIUM│ │  MEDIUM  │  Newsletter, LinkedIn, email
   │ FORMAT  │ │FORMAT│ │  FORMAT  │
   └────┬────┘ └──┬───┘ └────┬─────┘
        │         │          │
   ┌────┼────┐    │     ┌────┼────┐
   ▼    ▼    ▼    ▼     ▼    ▼    ▼
 ┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐  Tweets, quotes, audiograms,
 │   ││   ││   ││   ││   ││   ││   │  short clips, infographic tiles
 └───┘└───┘└───┘└───┘└───┘└───┘└───┘

Conversion Recipes

Blog Post -> Twitter/X Thread

Extract 5-8 key insights. One per tweet. Add hook.

ElementRule
Hook tweetListicle, contrarian, or promise format
Body tweetsOne insight per tweet, 280 chars max
Visual breaksAdd image every 3-4 tweets
Final tweetCTA + "RT the first tweet if useful"

Adaptation:

  • Remove nuance and caveats (threads are punchy)
  • Add numbers and specifics (threads need skimmability)
  • Cut academic language (threads are conversational)
bash
# Generate a visual for the thread
belt app run falai/flux-dev-lora --input '{
  "prompt": "clean infographic tile, single statistic 60% highlighted in large bold text, minimal dark background, data visualization style, professional",
  "width": 1024,
  "height": 1024
}'

# Post the thread
belt app run x/post-create --input '{
  "text": "I analyzed 500 landing pages.\n\nHere are 7 patterns the top converters all share:\n\n🧵 Thread:"
}'

Blog Post -> LinkedIn Carousel

1 slide per section. 8-12 slides total.

SlideContent
1 (Hook)Bold claim or question from headline
2-9 (Content)One key point per slide, large text, supporting visual
10 (Summary)Recap the key takeaways
11 (CTA)"Follow for more" / "Save this" / "Comment your thoughts"

Specs: 1080x1080 (square) or 1080x1350 (4:5 for more space)

bash
# Generate carousel slides
for i in {1..10}; do
  belt app run falai/flux-dev-lora --input "{
    \"prompt\": \"clean minimal presentation slide, dark gradient background, large text area, professional business design, slide $i of 10, consistent style\",
    \"width\": 1024,
    \"height\": 1024
  }" --no-wait
done

Blog Post -> Newsletter Section

3-line summary + "why it matters" + link.

## This Week's Feature: [Title]

[1-2 sentence summary of the key insight]

**Why it matters:** [1 sentence connecting to reader's work/life]

→ [Read the full post](link)

Blog Post -> Short-Form Video Script

Problem + key insight + CTA. Under 60 seconds.

SectionDurationContent
Hook3s"Most people get [topic] wrong."
Problem10sState the common mistake
Insight25sYour key finding/advice
Proof10sOne stat or example
CTA5s"Follow for more" / "Link in bio"
bash
# Generate voiceover
belt app run falai/dia-tts --input '{
  "prompt": "[S1] Most landing pages make this mistake. They put the features above the fold instead of the outcome. Top converting pages show what life looks like AFTER using the product. Try it and watch your conversion rate climb."
}'

# Generate video
belt app run google/veo-3-1-fast --input '{
  "prompt": "Screen recording style, scrolling through a well-designed landing page, clean modern UI, smooth scroll, professional website"
}'

Blog Post -> Audiogram

Pull best quote. Generate audio. Add waveform visual.

bash
# Generate audio of the key quote
belt app run falai/dia-tts --input '{
  "prompt": "[S1] The number one mistake I see on landing pages... is putting features above the fold. The best pages show the outcome. Not what your product does, but what life looks like after."
}'

Podcast Episode -> Blog Post

bash
# 1. Transcribe the episode
belt app run <stt-app> --input '{
  "audio": "episode-42.mp3"
}'

# 2. Edit transcript into blog format:
# - Remove filler words (um, uh, like, you know)
# - Add headers at topic changes
# - Break into paragraphs
# - Add intro and conclusion
# - Add links mentioned in the episode

Podcast Episode -> Quote Cards

3-5 best quotes with speaker attribution.

bash
# Generate quote card backgrounds
belt app run falai/flux-dev-lora --input '{
  "prompt": "minimal quote card background, subtle gradient from dark blue to black, large quotation mark watermark, clean modern design, social media square format",
  "width": 1080,
  "height": 1080
}'

Video -> GIF

Key moment, 3-5 seconds, under 5MB.

Best moments for GIFs:

  • Reaction shots
  • Before/after reveals
  • Key demonstration steps
  • Funny or surprising moments

Long Video -> Short Clips

bash
# Extract the best 15-60 second segments for Reels/TikTok/Shorts
# Focus on self-contained moments that make sense without context:
# - A single tip or insight
# - A surprising stat reveal
# - A demonstration of one feature
# - A strong opinion or hot take

The Golden Rule

Never copy-paste across formats. Each platform has different:

PlatformAttention SpanToneFormat
Blog5-10 minThorough, detailedLong paragraphs OK
Twitter/X5-30 sec per tweetPunchy, declarative280 chars, fragmented
LinkedIn1-3 minProfessional, insightfulShort paragraphs, line breaks
Newsletter5-7 minCurated, personalSections with headers
TikTok/Reels15-60 secEnergetic, directHook in 1 second
Podcast20-60 minConversational, deepStories and tangents OK

Content Repurposing Checklist

For each piece of long-form content, create:

  • Twitter/X thread (5-8 tweets)
  • LinkedIn post or carousel
  • Newsletter section (3-line summary)
  • 2-3 quote cards for social
  • Short-form video script (30-60s)
  • Email snippet for nurture sequence
  • Slide for internal presentation

Common Mistakes

MistakeProblemFix
Copy-pasting between platformsFeels lazy, wrong formatRewrite for each platform's style
Repurposing weak contentAmplifies mediocrityOnly repurpose your best pieces
Same day posting everywhereAudience overlap sees duplicatesStagger across days/weeks
Losing the core messageDerivative misses the pointIdentify the ONE key insight first
No visual adaptationText-only on visual platformsCreate platform-specific graphics
Forgetting attributionPlagiarizes yourselfLink back to the original

Related Skills

bash
npx skills add inference-sh/skills@ai-social-media-content
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@text-to-speech
npx skills add inference-sh/skills@twitter-automation

Browse all apps: belt app list

Frequently asked questions

What does the Content Repurposing AI skill do?

Content atomization — turn one piece of content into many formats. Covers blog-to-thread, blog-to-carousel, podcast-to-blog, video-to-quotes, and more. Use for: content marketing, social media, multi-platform distribution, content strategy. Triggers: content repurposing, repurpose content, content atomization, content recycling, one to many content, multi platform content, cross post, adapt content, reformat content, blog to thread, blog to video, podcast to blog, content multiplication

Why use Content Repurposing on TypingMind?

Because you install it once and use it with any model. Content Repurposing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Content Repurposing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/101-skills/superpowers/tree/main/guides/content/content-repurposing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Content Repurposing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Content Repurposing?

As many as you like. As long as a model supports skills, you can use Content Repurposing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Content Repurposing AI skill free?

It is published on GitHub by 101-skills. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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