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claude-shorts

by AgriciDaniel · AgriciDaniel/claude-shorts

Turn a long podcast or stream into ready-to-post Shorts — Claude picks the highlights, Remotion animates the captions.

claude-shorts is a longform-to-shortform video pipeline packaged as a Claude Code skill: transcript-driven segment scoring picks candidate clips, audio-aware boundary snapping cleans them up, a Remotion project renders animated captions and cursor overlays, and Claude wires it all together. Output: vertical Shorts you can post without opening a video editor.

▶ Watch demo 📦 Install 💡 Use Cases

Why use it

Key features

Live Demo

What it looks like in practice

claude-shorts-skill.replay ▶ ready
0/0

Install

Author repository · Claude Skills documentation

Use Cases

Real-world ways to use claude-shorts

How to turn a 90-minute podcast into 10 Shorts

👤 Podcasters and content creators ⏱ ~90 min advanced

When to use: You published a long episode and want a week of Shorts from it with minimal effort.

Flow
  1. Transcribe and score
    Process podcast_ep42.mp3 — transcribe and score candidate Short segments.✓ Copied
    → Ranked list of 20–30 candidates with timestamps and hooks
  2. Pick and snap
    Pick the top 10 and snap boundaries to clean audio breakpoints.✓ Copied
    → 10 segments with cleaned-up start/end
  3. Render Shorts
    Render vertical 9:16 Shorts with animated captions to ./shorts/.✓ Copied
    → MP4 files ready to upload

Outcome: A week's worth of Shorts generated in an afternoon.

Pitfalls
  • Captions out of sync — Use word-level timestamps from whisper — skill expects them
  • Same joke across 3 Shorts — Ask Claude to de-dupe by topic cluster before rendering
Combine with: filesystem

Build a highlight reel from a Twitch / YouTube stream

👤 Streamers, educators, conference archivists ⏱ ~60 min intermediate

When to use: You have a long recording and need a sampler to promote it.

Flow
  1. Score peaks
    Find the 15 most engaging moments based on transcript + audio energy.✓ Copied
    → Ranked peaks with timestamps and reasons
  2. Assemble the reel
    Assemble a single 60-second highlight reel with smooth cuts.✓ Copied
    → One MP4 with good pacing

Outcome: A concise reel that represents the best of the session.

Pitfalls
  • Reel has no narrative — Ask Claude to order clips for arc, not just score
Combine with: claude-youtube-skill

Combinations

Pair with other MCPs for X10 leverage

claude-shorts-skill + claude-youtube-skill

Same pipeline feeds YouTube long-form + Shorts strategy

Pick 10 Shorts from the latest podcast and suggest YouTube Shorts titles and descriptions.✓ Copied
claude-shorts-skill + social-media-caption-generator-claude-skill

Auto-caption each Short for IG/TikTok/Threads

For each rendered Short, generate posting captions for Instagram Reels and TikTok.✓ Copied

Tools

What this MCP exposes

ToolInputsWhen to callCost
transcribe-and-score audio/video path First step in any pipeline Whisper / scoring compute
boundary-snap segment timestamps + waveform After scoring audio analysis compute
remotion-render segments + captions + style Final step Remotion render time
cursor-overlay screen-capture + cursor events For tutorials or software walkthroughs 0

Cost & Limits

What this costs to run

API quota
none beyond whisper/LLM provider
Tokens per call
~10–30k tokens per long-form source
Monetary
free at the skill level; rendering uses your CPU/GPU
Tip
Score in one pass, then batch-render overnight to avoid UI blocking

Security

Permissions, secrets, blast radius

Credential storage: none
Data egress: none — local rendering

Troubleshooting

Common errors and fixes

Remotion render fails

Check Node version (20+), ensure the Remotion project compiles: npx remotion render.

Verify: npx remotion --version
FFmpeg: codec not found

Install a full FFmpeg build: brew install ffmpeg; confirm libx264.

Verify: ffmpeg -codecs | grep 264
Captions off by ~200ms

Re-run transcription with word timestamps enabled.

Alternatives

claude-shorts vs others

AlternativeWhen to use it insteadTradeoff
claude-youtube-skillYou need YouTube strategy, not automated renderingStrategy vs pipeline

More

Resources

📖 Read the official README on GitHub

🐙 Browse open issues

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