An AI-powered automation skill that transforms single long-form content pieces into platform-optimized Twitter threads, LinkedIn posts, newsletters, and video scripts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hermes-content-repurposer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install hermes-content-repurposer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Content Repurposer?
The AI Content Repurposer is a powerful tool designed to eliminate content waste by turning articles, blog posts, YouTube video transcripts, and podcast episodes into highly engaging, platform-specific social media assets. Leveraging the automation capabilities of Openclaw Skills, this tool acts as an intelligent media router, dissecting core narratives and reformatting them into optimized structures for Twitter, LinkedIn, newsletters, and short-form video.
By utilizing custom brand voice profiles, YAML-based modular templates, and automated linguistic and stylistic quality checks, this skill ensures consistent messaging across channels. It is one of the most practical Openclaw Skills for developers, marketers, and creators seeking to maximize their digital content ROI through programmatic content repurposing.
AI Content Repurposer Use Cases
- Automatically turning technical blog posts into interactive Twitter threads and LinkedIn thought-leadership updates.
- Transcribing long YouTube videos or podcast episodes into structured weekly email newsletters.
- Generating platform-ready short video scripts (TikTok, YouTube Shorts, Reels) directly from markdown documentation.
- Scheduling automated, recurring content repurposing pipelines triggered by RSS feeds or WordPress updates.
- Running content through high-quality automated checks to ensure perfect character lengths, link integrity, and tone consistency, making this a staple workflow in Openclaw Skills deployments.
How AI Content Repurposer Works
- Content Ingestion: The system accepts multiple input sources including raw Markdown, text, HTML, PDFs, YouTube URLs, WordPress posts, or podcast RSS feeds.
- Narrative Extraction: The AI analyzes the ingested source to extract key arguments, crucial quotes, and core takeaways.
- Platform Routing: Based on the configuration, the extracted elements are processed through specific Openclaw Skills platform templates (e.g., Twitter threads, LinkedIn stories, or newsletters).
- Automated Quality Checking: Before finalizing, the system subjects the content to comprehensive quality checks for character limits, brand tone alignment, duplicate phrasing, and quote accuracy.
- File Export & Distribution: The finished assets are written to designated subdirectories in
.md,.txt, or template-specific file structures, ready for manual publishing or programmatic scheduling.
AI Content Repurposer Setup
To deploy this skill within your local agent environment, follow these standard Openclaw Skills integration steps:
1. Copy Skill Files
cp -r streams/01_ClawHub_Skills/02_AI_Content_Repurposer/* ~/.openclaw/skills/
2. Install Dependencies
Ensure you have Python 3.10+ and FFmpeg installed before running the installer.
cd ~/.openclaw/skills/ai-content-repurposer
pip install -r requirements.txt
3. Brand & Format Configuration
Configure config/repurpose.yaml to match your targeted audience, default CTA, tone adjectives, and output formatting rules.
AI Content Repurposer Data Schema & Taxonomy
This skill maintains a highly organized file system structure for brand voices, templates, prompts, and output media:
Configuration & Templates
config/repurpose.yaml: Global brand settings, CTAs, and limits for individual social platforms.templates/: Platform-specific blueprint directories containing structural rules (e.g.,twitter_thread/default.yaml,linkedin/thought_leader.yaml).prompts/: YAML-defined prompt engineering directives used by the AI engine to generate targeted layouts.
Output Architecture
All generated outputs are saved to structured subdirectories inside ./output/:
| Directory | Output Content Type | Typical File Format |
|---|---|---|
output/twitter/ |
Segmented and numbered threads | Markdown / Plain text |
output/linkedin/ |
Spaced post copy with CTAs and hashtags | Markdown / Plain text |
output/newsletter/ |
Formatted digests or deep dives | HTML / Markdown |
output/video/ |
Scene breakdown scripts with voiceover timestamps | YAML / Text |
AI Content Repurposer Advanced Features
- RSS & WordPress Watchers: Programmatically monitor RSS feeds and execute tasks instantly as new content is published.
- Linguistic Quality Assurance (QA): Automated checks that score output alignment with targeted brand voices and flag duplicate structures.
- Multi-Template Flexibility: Hot-swapping templates for LinkedIn (thought leader vs. company page) or short video formats (TikTok vs. YouTube Shorts).
- Cron-Based Execution: Set up robust execution schedules using the integrated command
openclaw cron addto keep social queues full, illustrating the automation capabilities of Openclaw Skills.
SKILL.md
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