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
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill content-repurposer
> Turn one piece of content into 10+ pieces using AI-powered extraction and reformatting - the "create once, publish everywhere" workflow.
| 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 |
pip install anthropic jinja2 click pyyaml
# Requires ANTHROPIC_API_KEY environment variable
python scripts/main.py repurpose transcript.txt --formats "twitter,linkedin,instagram"
python scripts/main.py repurpose blog-post.md --formats all
python scripts/main.py thread article.md --max-tweets 10
python scripts/main.py thread transcript.txt --style educational
python scripts/main.py quotes podcast-transcript.txt --count 5
python scripts/main.py quotes interview.txt --style inspirational
python scripts/main.py hooks content.txt --count 10
python scripts/main.py hooks product-page.txt --style curiosity
# 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)
# 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.
# 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."
# ...
| 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 |
| 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 |
category: automation
subcategory: content-automation
dependencies: [anthropic, jinja2]
difficulty: beginner
time_saved: 8+ hours/week
api_cost: ~$0.02-0.10 per repurpose
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementing any feature or bugfix, before writing implementation code
Use when you have a spec or requirements for a multi-step task, before touching code
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
| Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
Take guia-matthieu/content-repurposer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.