Skills / claude repurpose
claude repurpose
Content Repurposing Engine for Claude Code. Turn 1 piece of content into 10+ platform-optimized posts for Twitter, LinkedIn, Instagram, Facebook, YouTube, Skool, Reddit, and newsletters.
Installation
Kompatibilitaet
Beschreibung
Claude Repurpose
Content Repurposing Engine for Claude Code -- Turn 1 piece of content into 10+ platform-optimized posts in seconds.
What It Does
Takes any content (YouTube video, blog post, podcast, local file) and generates platform-native outputs for:
| Platform | Outputs | |----------|---------| | Twitter/X | Thread (8-12 tweets) + standalone tweets + poll | | Threads | Thread (5-10 posts) + standalone posts + image post | | LinkedIn | Post + PDF carousel script (10-12 slides) + poll | | Instagram | Carousel (7-10 slides) + caption + reel script | | TikTok | Video script (15-60s) + carousel/photo mode + stitch/duet concept | | Pinterest | 3-5 pin descriptions + idea pin script + board suggestions | | Snapchat | Story script (3-5 frames) + Spotlight script + AR concept | | Facebook | Post + poll + story script | | YouTube Community | Text post + image concept + poll | | Skool | Discussion + challenge prompt + poll | | Discord | Announcement + discussion thread + rich embed | | Newsletter | Excerpt + 3 subject lines + 3-email drip sequence | | Reddit | Discussion post + subreddit suggestions | | Quora | Answer (300-1000 words) + Space post + question suggestions | | Medium | Article (1500-3000 words) + tags + publication suggestions | | WhatsApp | Channel update + poll + content teaser | | Telegram | Channel post + deep dive + poll | | Quote Graphics | 5 quotable moments + AI image prompts | | SEO Metadata | Titles, descriptions, hashtags, keywords per platform | | Calendar | 7-day publishing schedule with optimal times |
Why Not Just Cross-Post?
Cross-posting the same text everywhere kills engagement. Each platform has different:
- Character limits (Twitter: 280 vs LinkedIn: 3,000)
- Algorithm preferences (Twitter rewards replies 27x, LinkedIn rewards saves 5x)
- Audience expectations (LinkedIn: professional, Reddit: peer-to-peer, TikTok: entertaining)
- Content formats (LinkedIn PDF carousels: 6.60% engagement, Instagram mixed-media: 2.33%)
This skill adapts your message for each platform, not just reformats it.
Install
# One-liner
curl -fsSL https://raw.githubusercontent.com/AgriciDaniel/claude-repurpose/main/install.sh | bash
# Or clone and install
git clone https://github.com/AgriciDaniel/claude-repurpose.git
cd claude-repurpose && bash install.sh
Optional: Install /banana for AI-generated quote cards and carousel cover images.
Usage
# Repurpose a blog post to all platforms
/repurpose https://example.com/blog/my-article
# Repurpose a YouTube video
/repurpose https://youtube.com/watch?v=abc123
# Only specific platforms
/repurpose https://example.com/post --platforms twitter,linkedin,instagram
# Quick mode (top 3 platforms only)
/repurpose https://example.com/post --brief
# With AI-generated images (/banana required)
/repurpose https://example.com/post --images
# Override brand voice
/repurpose https://example.com/post --voice witty
# Just analyze content (no outputs)
/repurpose analyze https://example.com/post
# Generate publishing calendar from outputs
/repurpose calendar
How It Works
Input (any content)
|
v
Content Extraction YouTube -> transcript
(auto-detect type) Blog URL -> article text
Audio -> Whisper transcription
Local file -> direct read
|
v
Content Atomization Extract 5-15 reusable atoms:
(key insights, quotes, stats, quotes, insights,
statistics, arguments) questions, contrarian takes
|
v
6 Parallel Agents Social (Twitter+Threads+LinkedIn+Facebook)
(simultaneous) Visual (Instagram+TikTok+Pinterest+Snapchat+Quotes)
Longform (Newsletter+Email+Reddit+Quora)
Community (YouTube+Skool+Discord)
Broadcast (WhatsApp+Telegram+Medium)
SEO (metadata across all)
|
v
Output Directory ./repurposed/<timestamp>/
(30+ files organized twitter/, linkedin/, instagram/,
by platform) facebook/, skool/, quotes/, etc.
Output Structure
./repurposed/2026-03-31-1430/
├── summary.md # Overview of all generated content
├── atoms.md # Extracted content atoms
├── twitter/
│ ├── thread.md # 8-12 tweet thread
│ ├── standalone-tweet.md # Standalone tweets
│ └── poll.md
├── linkedin/
│ ├── post.md
│ ├── carousel.md # Slide-by-slide script
│ └── poll.md
├── instagram/
│ ├── carousel.md # 7-10 slide script
│ ├── caption.md
│ └── reel-script.md
├── threads/
│ ├── thread.md # 5-10 post thread
│ ├── standalone-posts.md # 3-5 standalone posts
│ └── image-post.md # Image post concept
├── tiktok/
│ ├── video-script.md # 15-60s video script
│ ├── carousel.md # Photo mode (2-10 slides)
│ └── stitch-duet.md # Stitch/duet concept
├── pinterest/
│ ├── pins.md # 3-5 pin descriptions
│ ├── idea-pin.md # Idea pin script (5-10 slides)
│ └── boards.md # Board suggestions
├── snapchat/
│ ├── story-script.md # 3-5 frames (10s each)
│ ├── spotlight-script.md # Up to 60s Spotlight
│ └── ar-concept.md # AR lens concept
├── facebook/
│ ├── post.md
│ ├── poll.md
│ └── story.md
├── youtube-community/
│ ├── post.md
│ ├── image-concept.md
│ └── poll.md
├── skool/
│ ├── discussion.md
│ ├── challenge.md
│ └── poll.md
├── discord/
│ ├── announcement.md # Server announcement
│ ├── thread-prompt.md # Discussion thread starter
│ └── embed.md # Rich embed message
├── newsletter/
│ ├── newsletter.md # Newsletter excerpt
│ ├── subject-lines.md
│ └── email-sequence.md
├── reddit/
│ ├── post.md
│ └── subreddits.md
├── quora/
│ ├── answer.md # 300-1000 word answer
│ ├── space-post.md # Quora Space post
│ └── questions.md # Question suggestions
├── medium/
│ ├── article.md # 1500-3000 word article
│ ├── tags-publications.md # Tags + publication suggestions
│ └── crosspost-note.md # Canonical URL handling
├── whatsapp/
│ ├── update.md # Channel update (100-300 chars)
│ ├── poll.md # Channel poll
│ └── teaser.md # Content teaser with link
├── telegram/
│ ├── post.md # Channel post (500-1000 chars)
│ ├── deep-dive.md # Formatted deep dive
│ └── poll.md # Poll with optional quiz mode
├── quotes/
│ ├── quotes.md
│ └── banana-prompts.md
├── seo-metadata.md
├── calendar.md
└── images/ # AI-generated (with --images)
Platform Intelligence (2026 Data)
Built-in knowledge of each platform's current algorithm and best practices:
| Platform | Key Insight | Source | |----------|------------|--------| | Twitter/X | Replies weighted 27x a like; threads get +63% impressions | X Algorithm Analysis 2026 | | LinkedIn | PDF carousels: 6.60% engagement (highest format); saves = 5x a like | LinkedIn Algorithm Feb 2026 | | Instagram | Mixed media carousels: 2.33% vs 1.80% image-only; "swipe left" = +10% | Instagram Benchmarks 2026 | | Facebook | 50% of feed from non-followed accounts; saves + DM shares most powerful | Facebook Algorithm 2026 | | YouTube | Polls = highest community engagement; 2-4 posts/week optimal | YouTube Community Guide 2026 | | Skool | 20-30% monthly active = healthy; content rotation required | Skool Best Practices 2026 |
Image Generation (/banana)
With Claude Banana installed, the --images flag generates:
- Quote cards (5): Minimalist designs with content's best quotes
- Carousel covers: Bold title slides for Instagram and LinkedIn
- Hero images: Topic-relevant visuals for social posts
Without /banana, prompts are saved to banana-prompts.md for manual use.
Requirements
- Claude Code CLI
- Python 3.10+
- Optional: yt-dlp (YouTube transcript extraction)
- Optional: Whisper (audio transcription)
- Optional: /banana (AI image generation)
Architecture
- 20 sub-skills covering every platform
- 6 parallel subagents for maximum speed
- 8 reference files with platform specs, hook formulas, voice rules, and benchmarks
- 3 Python scripts for content extraction (article, transcript, audio)
Ecosystem
Part of the AgriciDaniel Claude Code skill family:
| Skill | Purpose | |-------|---------| | claude-seo | SEO analysis (19 skills, 12 agents) | | claude-youtube | YouTube creator tools | | claude-ads | Ad campaign auditing (186+ checks) | | claude-banana | AI image generation | | claude-repurpose | Content repurposing (this skill) |
License
MIT
Author
Built by Agrici Daniel - AI Workflow Architect.
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