guides/content/content-repurposing/SKILL.md
Content atomization — turn one piece of content into many formats. Covers blog-to-thread, blog-to-carousel, podcast-to-blog, video-to-quotes, and more. Use for: content marketing, social media, multi-platform distribution, content strategy. Triggers: content repurposing, repurpose content, content atomization, content recycling, one to many content, multi platform content, cross post, adapt content, reformat content, blog to thread, blog to video, podcast to blog, content multiplication
npx skillsauth add inference-sh/agent-skills content-repurposingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Turn one piece of content into many formats via inference.sh CLI.
Requires inference.sh CLI (
belt). Install instructions
belt login
# Generate a quote card from a blog pull-quote
belt app run falai/flux-dev-lora --input '{
"prompt": "minimal quote card design, dark navy background, large white quotation marks, clean sans-serif typography space, modern professional design, social media post format",
"width": 1024,
"height": 1024
}'
One source piece can generate 10+ derivative assets:
┌──────────┐
│ LONG-FORM │ Blog post, podcast, video, whitepaper
│ SOURCE │
└─────┬─────┘
│
┌─────────┼─────────┐
▼ ▼ ▼
┌─────────┐ ┌──────┐ ┌──────────┐
│ MEDIUM │ │MEDIUM│ │ MEDIUM │ Newsletter, LinkedIn, email
│ FORMAT │ │FORMAT│ │ FORMAT │
└────┬────┘ └──┬───┘ └────┬─────┘
│ │ │
┌────┼────┐ │ ┌────┼────┐
▼ ▼ ▼ ▼ ▼ ▼ ▼
┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐┌───┐ Tweets, quotes, audiograms,
│ ││ ││ ││ ││ ││ ││ │ short clips, infographic tiles
└───┘└───┘└───┘└───┘└───┘└───┘└───┘
Extract 5-8 key insights. One per tweet. Add hook.
| Element | Rule | |---------|------| | Hook tweet | Listicle, contrarian, or promise format | | Body tweets | One insight per tweet, 280 chars max | | Visual breaks | Add image every 3-4 tweets | | Final tweet | CTA + "RT the first tweet if useful" |
Adaptation:
# Generate a visual for the thread
belt app run falai/flux-dev-lora --input '{
"prompt": "clean infographic tile, single statistic 60% highlighted in large bold text, minimal dark background, data visualization style, professional",
"width": 1024,
"height": 1024
}'
# Post the thread
belt app run x/post-create --input '{
"text": "I analyzed 500 landing pages.\n\nHere are 7 patterns the top converters all share:\n\n🧵 Thread:"
}'
1 slide per section. 8-12 slides total.
| Slide | Content | |-------|---------| | 1 (Hook) | Bold claim or question from headline | | 2-9 (Content) | One key point per slide, large text, supporting visual | | 10 (Summary) | Recap the key takeaways | | 11 (CTA) | "Follow for more" / "Save this" / "Comment your thoughts" |
Specs: 1080x1080 (square) or 1080x1350 (4:5 for more space)
# Generate carousel slides
for i in {1..10}; do
belt app run falai/flux-dev-lora --input "{
\"prompt\": \"clean minimal presentation slide, dark gradient background, large text area, professional business design, slide $i of 10, consistent style\",
\"width\": 1024,
\"height\": 1024
}" --no-wait
done
3-line summary + "why it matters" + link.
## This Week's Feature: [Title]
[1-2 sentence summary of the key insight]
**Why it matters:** [1 sentence connecting to reader's work/life]
→ [Read the full post](link)
Problem + key insight + CTA. Under 60 seconds.
| Section | Duration | Content | |---------|----------|---------| | Hook | 3s | "Most people get [topic] wrong." | | Problem | 10s | State the common mistake | | Insight | 25s | Your key finding/advice | | Proof | 10s | One stat or example | | CTA | 5s | "Follow for more" / "Link in bio" |
# Generate voiceover
belt app run falai/dia-tts --input '{
"prompt": "[S1] Most landing pages make this mistake. They put the features above the fold instead of the outcome. Top converting pages show what life looks like AFTER using the product. Try it and watch your conversion rate climb."
}'
# Generate video
belt app run google/veo-3-1-fast --input '{
"prompt": "Screen recording style, scrolling through a well-designed landing page, clean modern UI, smooth scroll, professional website"
}'
Pull best quote. Generate audio. Add waveform visual.
# Generate audio of the key quote
belt app run falai/dia-tts --input '{
"prompt": "[S1] The number one mistake I see on landing pages... is putting features above the fold. The best pages show the outcome. Not what your product does, but what life looks like after."
}'
# 1. Transcribe the episode
belt app run <stt-app> --input '{
"audio": "episode-42.mp3"
}'
# 2. Edit transcript into blog format:
# - Remove filler words (um, uh, like, you know)
# - Add headers at topic changes
# - Break into paragraphs
# - Add intro and conclusion
# - Add links mentioned in the episode
3-5 best quotes with speaker attribution.
# Generate quote card backgrounds
belt app run falai/flux-dev-lora --input '{
"prompt": "minimal quote card background, subtle gradient from dark blue to black, large quotation mark watermark, clean modern design, social media square format",
"width": 1080,
"height": 1080
}'
Key moment, 3-5 seconds, under 5MB.
Best moments for GIFs:
# Extract the best 15-60 second segments for Reels/TikTok/Shorts
# Focus on self-contained moments that make sense without context:
# - A single tip or insight
# - A surprising stat reveal
# - A demonstration of one feature
# - A strong opinion or hot take
Never copy-paste across formats. Each platform has different:
| Platform | Attention Span | Tone | Format | |----------|---------------|------|--------| | Blog | 5-10 min | Thorough, detailed | Long paragraphs OK | | Twitter/X | 5-30 sec per tweet | Punchy, declarative | 280 chars, fragmented | | LinkedIn | 1-3 min | Professional, insightful | Short paragraphs, line breaks | | Newsletter | 5-7 min | Curated, personal | Sections with headers | | TikTok/Reels | 15-60 sec | Energetic, direct | Hook in 1 second | | Podcast | 20-60 min | Conversational, deep | Stories and tangents OK |
For each piece of long-form content, create:
| Mistake | Problem | Fix | |---------|---------|-----| | Copy-pasting between platforms | Feels lazy, wrong format | Rewrite for each platform's style | | Repurposing weak content | Amplifies mediocrity | Only repurpose your best pieces | | Same day posting everywhere | Audience overlap sees duplicates | Stagger across days/weeks | | Losing the core message | Derivative misses the point | Identify the ONE key insight first | | No visual adaptation | Text-only on visual platforms | Create platform-specific graphics | | Forgetting attribution | Plagiarizes yourself | Link back to the original |
npx skills add inference-sh/skills@ai-social-media-content
npx skills add inference-sh/skills@ai-image-generation
npx skills add inference-sh/skills@text-to-speech
npx skills add inference-sh/skills@twitter-automation
Browse all apps: belt app list
development
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
tools
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
documentation
Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image
tools
Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video