Content Repurposer

Community

guia-matthieu

content-repurposer

Transform long-form content into multiple short-form pieces. Use when: converting podcast to social posts; extracting Twitter threads from blog posts; pulling quotes from transcripts; creating content variants from single source

Overview

Publisher	guia-matthieu
Repository	`clawfu-skills`
Skill name	`content-repurposer`
Stars	150
Forks	27
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by guia-matthieu on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/content-repurposer

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/guia-matthieu/clawfu-skills.git /tmp/clawfu-skills
mkdir -p .claude/skills
cp -r /tmp/clawfu-skills/skills/automation/content-repurposer .claude/skills/content-repurposer

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Repurposer 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 Repurposer 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 Repurposer 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 Repurposer

Turn one piece of content into 10+ pieces using AI-powered extraction and reformatting - the "create once, publish everywhere" workflow.

When to Use This Skill

Podcast repurposing - Convert episode transcripts to threads, posts, quotes
Blog distribution - Transform articles into LinkedIn posts, Twitter threads
Video content recycling - Extract quotable moments and insights
Newsletter content - Generate social snippets from weekly newsletters
Webinar follow-up - Create post-event content from recordings

What Claude Does vs What You Decide

Claude Does	You Decide
Structures production workflow	Final creative direction
Suggests technical approaches	Equipment and tool choices
Creates templates and checklists	Quality standards
Identifies best practices	Brand/voice decisions
Generates script outlines	Final script approval

Dependencies

bash
pip install anthropic jinja2 click pyyaml
# Requires ANTHROPIC_API_KEY environment variable

Commands

Multi-Format Repurpose

bash
python scripts/main.py repurpose transcript.txt --formats "twitter,linkedin,instagram"
python scripts/main.py repurpose blog-post.md --formats all

Twitter Thread

bash
python scripts/main.py thread article.md --max-tweets 10
python scripts/main.py thread transcript.txt --style educational

Quote Extraction

bash
python scripts/main.py quotes podcast-transcript.txt --count 5
python scripts/main.py quotes interview.txt --style inspirational

Hook Generation

bash
python scripts/main.py hooks content.txt --count 10
python scripts/main.py hooks product-page.txt --style curiosity

Examples

Example 1: Podcast Episode → Full Content Suite

bash
# Input: 45-minute podcast transcript
python scripts/main.py repurpose episode-42-transcript.txt --formats all

# Output directory: episode-42-transcript_repurposed/
# ├── twitter_thread.md (10-tweet thread)
# ├── linkedin_post.md (long-form post)
# ├── instagram_carousel.md (10 slides)
# ├── quotes.md (5 quotable moments)
# └── hooks.md (5 attention grabbers)

Example 2: Blog Post → Twitter Thread

bash
# Convert 2000-word article to thread
python scripts/main.py thread positioning-strategy.md --max-tweets 12 --style educational

# Output: positioning-strategy_thread.md
# 1/ Here's how the best B2B companies position themselves (thread)
# 2/ First, they identify their competitive alternatives...
# ...
# 12/ TL;DR: Position for differentiation, not features. Link in bio.

Example 3: Extract Quotable Moments

bash
# Pull shareable quotes from interview
python scripts/main.py quotes founder-interview.txt --count 10 --style inspirational

# Output: founder-interview_quotes.md
# 1. "We didn't build a product, we built a belief system."
# 2. "Your first 100 customers should feel like co-founders."
# ...

Output Formats

Format	Best For	Typical Length
`twitter`	Thread with numbered tweets	8-15 tweets
`linkedin`	Long-form professional post	1,200-1,500 chars
`instagram`	Carousel slide content	10 slides
`quotes`	Shareable quote graphics	5-10 quotes
`hooks`	Opening lines for posts	10 hooks
`summary`	Executive summary	200-300 words
`newsletter`	Email-friendly summary	500-800 words

Content Styles

Style	Tone	Use Case
`educational`	Teaching, explaining	Tutorials, how-tos
`inspirational`	Motivating, uplifting	Founder stories
`provocative`	Challenging assumptions	Thought leadership
`conversational`	Casual, relatable	Personal brand
`professional`	Formal, authoritative	B2B, enterprise

How It Works

Content Analysis - AI reads full content, identifies key themes
Format Adaptation - Restructures for each platform's constraints
Hook Generation - Creates attention-grabbing openings
Quote Extraction - Pulls most shareable moments
Consistency Check - Ensures message alignment across formats

Best Practices

Start with transcripts - Raw transcripts work better than polished content
Review hooks - AI-generated hooks need human judgment
Edit threads - Check flow between tweets
Add context - AI can't know your audience's inside jokes
Test variations - Generate multiple versions, pick the best

Skill Boundaries

What This Skill Does Well

Structuring audio production workflows
Providing technical guidance
Creating quality checklists
Suggesting creative approaches

What This Skill Cannot Do

Replace audio engineering expertise
Make subjective creative decisions
Access or edit audio files directly
Guarantee commercial success

Related Skills

whisper-transcription - Create transcripts to repurpose
youtube-downloader - Get video content to repurpose
copywriting-schwartz - Improve repurposed copy

Skill Metadata

Mode: cyborg

yaml
category: automation
subcategory: content-automation
dependencies: [anthropic, jinja2]
difficulty: beginner
time_saved: 8+ hours/week
api_cost: ~$0.02-0.10 per repurpose

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/main.py11 KB
scripts/requirements.txt1 KB

Frequently asked questions

What does the Content Repurposer AI skill do?

Why use Content Repurposer on TypingMind?

Because you install it once and use it with any model. Content Repurposer 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 Repurposer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/content-repurposer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Content Repurposer?

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 Repurposer?

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

Is the Content Repurposer AI skill free?

Yes. It is published on GitHub by guia-matthieu 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Content Repurposer

When to Use This Skill

What Claude Does vs What You Decide

Dependencies

Commands

Multi-Format Repurpose

Twitter Thread

Quote Extraction

Hook Generation

Examples

Example 1: Podcast Episode → Full Content Suite

Example 2: Blog Post → Twitter Thread

Example 3: Extract Quotable Moments

Output Formats

Content Styles

How It Works

Best Practices

Skill Boundaries

What This Skill Does Well

What This Skill Cannot Do

Related Skills

Skill Metadata

Bundled files

Frequently asked questions

Related AI Skills

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