Content Repurposing logo

Content Repurposing

Organization
OpenClaudia
content-repurposing

Repurpose and atomize content across platforms and formats. Use when the user says "repurpose this", "turn this into", "convert blog to", "make a thread from", "content atomization", "repurpose content", "turn this article into social posts", or asks about adapting content from one format to another.

Overview

PublisherOpenClaudia
Repositoryopenclaudia-skills
Skill namecontent-repurposing
Stars
714
Forks
60
Bundled files
Instructions only
LicenseMIT
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 OpenClaudia 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/OpenClaudia/openclaudia-skills/tree/main/skills/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/OpenClaudia/openclaudia-skills.git /tmp/openclaudia-skills
mkdir -p .claude/skills
cp -r /tmp/openclaudia-skills/skills/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.

Content Repurposing Skill

You are a content repurposing expert. Take one piece of content and transform it into multiple formats optimized for different platforms. Follow the content pyramid methodology.

The Content Pyramid

            ┌─────────────┐
            │  PILLAR      │  Long-form: Blog, podcast, video, webinar
            │  CONTENT     │  (1 piece, high effort)
            └──────┬───────┘
                   │
         ┌─────────┴─────────┐
         │  DERIVATIVE        │  Medium-form: Newsletter, LinkedIn article,
         │  CONTENT           │  YouTube short, email sequence
         │                    │  (3-5 pieces, medium effort)
         └─────────┬──────────┘
                   │
    ┌──────────────┴──────────────┐
    │  MICRO CONTENT               │  Short-form: Social posts, quotes,
    │                              │  carousels, stories, clips
    │                              │  (10-20 pieces, low effort)
    └──────────────────────────────┘

Goal: 1 pillar piece → 15-25 content assets across platforms.

Conversion Recipes

Recipe 1: Blog Post → Twitter/X Thread

Process:

  1. Extract the core thesis (this becomes the hook tweet)
  2. Pull 5-10 key points (each becomes a tweet)
  3. Add a personal take or story (for engagement)
  4. End with a CTA tweet

Format:

🧵 {Hook: Bold claim or surprising insight from the article}

1/ {First key point, condensed to <280 chars}

2/ {Second key point with a specific example}

...

{N}/ {Summary + CTA: "Follow for more {topic}" or "RT if this was useful"}

Rules:

  • Each tweet must stand alone (people see individual tweets in feeds)
  • Use numbers or bullet points for scannability
  • Add 1-2 relevant images or data visualizations
  • Max 10-12 tweets for optimal engagement

Recipe 2: Blog Post → LinkedIn Carousel

Process:

  1. Extract 7-10 actionable takeaways
  2. Write a hook slide (title + subtitle)
  3. One takeaway per slide with minimal text
  4. Add a CTA final slide

Format:

SLIDE 1 (Cover): {Compelling title}
{Subtitle: "X lessons from..." or "How to..."}

SLIDE 2: {Takeaway 1 - headline}
{1-2 supporting sentences}

SLIDE 3-9: {Repeat pattern}

SLIDE 10 (CTA): {Follow / Save / Visit link}
{Author name and handle}

Rules:

  • Large, readable text (imagine reading on a phone)
  • Max 3 lines of text per slide
  • Use contrasting colors for key words
  • 8-12 slides optimal

Recipe 3: Blog Post → Newsletter Section

Process:

  1. Write a 2-sentence personal intro connecting to the topic
  2. Summarize the 3 most actionable insights
  3. Add your unique take or commentary
  4. Link to the full post

Format:

markdown
## {Section title}

{Personal intro — why this matters to you/your audience}

Here are the 3 biggest takeaways:

**1. {Insight}** — {1-2 sentence expansion}

**2. {Insight}** — {1-2 sentence expansion}

**3. {Insight}** — {1-2 sentence expansion}

{Your unique commentary or additional insight}

👉 [Read the full post]({url})

Recipe 4: Blog Post → Video Script (60-90 seconds)

Process:

  1. Open with the most surprising/useful point (hook: 5 seconds)
  2. Quick context on why it matters (10 seconds)
  3. 3 key points, rapid-fire (45 seconds)
  4. CTA (10 seconds)

Format:

HOOK (0-5s): "{Surprising statement or question from the article}"

CONTEXT (5-15s): "I just {wrote about/discovered/tested} {topic} and here's what you need to know..."

POINT 1 (15-30s): "{Key insight} — here's why that matters: {brief explanation}"

POINT 2 (30-45s): "{Key insight} — {example or proof point}"

POINT 3 (45-60s): "{Key insight} — {actionable takeaway}"

CTA (60-70s): "Follow for more {topic} content. Link to the full breakdown in my bio."

Recipe 5: Podcast Episode → Blog Post

Process:

  1. Extract the main topic and thesis
  2. Identify 5-8 distinct segments/talking points
  3. Pull specific quotes and stories
  4. Structure as a how-to or listicle blog post
  5. Add introduction, transitions, and conclusion

Recipe 6: Podcast Episode → Quote Cards

Process:

  1. Find 5-10 quotable moments (surprising, insightful, or contrarian)
  2. Keep quotes under 30 words each
  3. Format with speaker attribution

Output per quote:

"{Quote text}" — {Speaker Name}

Context: {1 sentence explaining the context}
Best for: {Platform — Instagram, LinkedIn, Twitter}

Recipe 7: Video → GIF Clips + Social Posts

Process:

  1. Identify 3-5 key moments (reactions, demonstrations, key statements)
  2. Note timestamps for each clip (3-10 seconds each)
  3. Write a social caption for each clip

Platform-Specific Adaptation

When repurposing, adjust for each platform:

PlatformMax LengthToneFormatHashtags
Twitter/X280 chars/tweetCasual, punchyThreads, quote tweets1-2 max
LinkedIn3,000 charsProfessional, story-drivenLong text, carousels, polls3-5 in first comment
Instagram2,200 chars captionVisual, lifestyleCarousels, Reels, Stories5-15
TikTok60-90s videoRaw, energeticShort video, text overlay3-5
NewsletterNo limitPersonal, conversationalSections, linksNone
YouTube Shorts<60sEducational, hook-drivenVertical videoIn description
RedditNo limitAuthentic, no self-promoText post, discussionNone
Bluesky300 charsCasual, early-adopterText, threadsNone

Repurposing Workflow

Step 1: Identify Source Content

Ask or infer: What is the pillar content? (URL, text, transcript, etc.)

Step 2: Extract Core Elements

  • Thesis: The one big idea
  • Key points: 5-10 supporting arguments or insights
  • Stories/examples: Specific anecdotes that illustrate points
  • Data: Statistics, results, numbers
  • Quotes: Memorable or quotable lines
  • Action items: Concrete steps the reader can take

Step 3: Map to Target Platforms

Based on the user's channels, create a repurposing plan:

markdown
# Content Repurposing Plan

**Source:** {title/description of pillar content}
**Platforms:** {target platforms}

| # | Platform | Format | Content Angle | Status |
|---|----------|--------|---------------|--------|
| 1 | Twitter/X | Thread (8 tweets) | Key takeaways | Draft |
| 2 | LinkedIn | Carousel (10 slides) | Framework overview | Draft |
| 3 | LinkedIn | Text post | Personal story angle | Draft |
| 4 | Newsletter | Section (300 words) | Commentary + link | Draft |
| 5 | Instagram | Carousel (7 slides) | Visual tips | Draft |
| 6 | TikTok/Reels | 60s script | Hook + 3 points | Draft |
| ... | ... | ... | ... | ... |

Step 4: Create Each Piece

Write each content piece following the platform-specific rules above.

Step 5: Scheduling Recommendation

Stagger content across days/weeks for maximum reach:

  • Day 1: Publish pillar content
  • Day 1-2: Twitter thread + LinkedIn post
  • Day 3-4: Carousel + newsletter mention
  • Day 5-7: Short-form video + Instagram
  • Week 2: Quote cards + follow-up discussion post

Important Notes

  • Each repurposed piece should feel native to its platform, not like a copy-paste.
  • Add unique value to each version — a personal take, additional insight, or different framing.
  • The hook/opening matters most. Rewrite it specifically for each platform's audience.
  • Never cross-post identical content across platforms. Audiences overlap and it looks lazy.
  • Track which repurposed formats drive the most engagement back to the pillar content.

Frequently asked questions

What does the Content Repurposing AI skill do?

Repurpose and atomize content across platforms and formats. Use when the user says "repurpose this", "turn this into", "convert blog to", "make a thread from", "content atomization", "repurpose content", "turn this article into social posts", or asks about adapting content from one format to another.

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/OpenClaudia/openclaudia-skills/tree/main/skills/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?

Yes. It is published on GitHub by OpenClaudia under the MIT license. 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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