🎁 Get the FREE AI Skills Starter Guide β€” Subscribe β†’
BytesAgainBytesAgain
BytesAgain β€Ί Skills β€Ί Content Repurposer
πŸ¦€ ClawHub

Content Repurposer

by @fuzzyb33s

Convert any text into 10+ marketing formats like Twitter threads, LinkedIn posts, blog intros, email newsletters, social announcements, and meta descriptions.

Versionv1.0.0
Downloads443
#requires-sensitive-credentials#clawhub
TERMINAL
clawhub install content-multiplier-fuzzyb33s

πŸ“– About This Skill

name: content-repurposer description: Repurpose a single piece of content (tweet, article, description) into 10+ formats: Twitter thread, LinkedIn post, blog intro, email newsletter, Discord announcement, Reddit post, Quora answer, Instagram caption, email subject lines, and meta descriptions. tools: - repurpose_content

Content Repurposer

Repurpose any content into 10+ marketing formats instantly.

Usage

uv run python scripts/repurpose.py "Your content here" [--type auto] [--tone professional|casual|humorous] [--output ./output]

Arguments

  • content (required): The source content β€” a tweet, article text, product description, or any string.
  • --type (optional): Override auto-detection. Values: tweet, article, description, speech, email.
  • --tone (optional): Writing tone. Values: professional (default), casual, humorous, inspirational, technical.
  • --output (optional): Output directory for individual files. Defaults to ./output.

    • Output Formats

    | Format | Description | |--------|-------------| | Twitter Thread | 5-7 tweet thread with hook, points, CTA | | LinkedIn Post | Professional post with 3-5 key insights | | Blog Intro | 200-word engaging blog introduction | | Email Newsletter | Full newsletter paragraph with subject line | | Discord Announcement | Server-friendly announcement with emoji formatting | | Reddit Post | Title + body for relevant subreddit | | Quora Answer | Informative answer to a related question | | Instagram Caption | Engaging caption with hashtags | | Email Subject Lines | 5 compelling subject line variants | | Meta Descriptions | 3 SEO-optimized meta descriptions |

    Workflow

    1. Input: Content is analyzed and classified 2. Generation: Each format is generated with platform-specific optimization 3. Output: All formats returned as structured JSON

    Error Handling

    All outputs return JSON with success field:

  • success: true β€” Operation completed, check results dict
  • success: false β€” Check error_code and error_message

    • Notes

  • Uses MiniMax API via OpenClaw for generation
  • Rate limiting handled with exponential backoff
  • Empty content returns an error with code EMPTY_CONTENT

    • πŸ’‘ Examples

    uv run python scripts/repurpose.py "Your content here" [--type auto] [--tone professional|casual|humorous] [--output ./output]

    πŸ“‹ Tips & Best Practices

  • Uses MiniMax API via OpenClaw for generation
  • Rate limiting handled with exponential backoff
  • Empty content returns an error with code EMPTY_CONTENT