claude-shorts (Claude Skill) — Установка & Живое демо

Зачем использовать

Ключевые функции

AI-scored segment extraction from long-form content
Audio-aware boundary snapping so clips don't cut mid-word
Remotion-rendered animated captions
Cursor tracking overlays for screen-capture sources
Python orchestration end-to-end

Живое демо

Как выглядит на практике

claude-shorts-skill.replay ▶ готово

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Установка

Репозиторий автора · Официальная документация Claude Skills

Сценарии использования

Реальные сценарии: claude-shorts

How to turn a 90-minute podcast into 10 Shorts

👤 Podcasters and content creators ⏱ ~90 min advanced

Когда использовать: You published a long episode and want a week of Shorts from it with minimal effort.

Поток

Transcribe and score

Process podcast_ep42.mp3 — transcribe and score candidate Short segments.✓ Скопировано

→ Ranked list of 20–30 candidates with timestamps and hooks
Pick and snap

Pick the top 10 and snap boundaries to clean audio breakpoints.✓ Скопировано

→ 10 segments with cleaned-up start/end
Render Shorts

Render vertical 9:16 Shorts with animated captions to ./shorts/.✓ Скопировано

→ MP4 files ready to upload

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

Подводные камни

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

Сочетать с: filesystem

Build a highlight reel from a Twitch / YouTube stream

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

Когда использовать: You have a long recording and need a sampler to promote it.

Поток

Score peaks

Find the 15 most engaging moments based on transcript + audio energy.✓ Скопировано

→ Ranked peaks with timestamps and reasons
Assemble the reel

Assemble a single 60-second highlight reel with smooth cuts.✓ Скопировано

→ One MP4 with good pacing

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

Подводные камни

Reel has no narrative — Ask Claude to order clips for arc, not just score

Сочетать с: claude-youtube-skill

Комбинации

Сочетайте с другими MCP — эффект x10

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.✓ Скопировано

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.✓ Скопировано

Инструменты

Что предоставляет этот MCP

Инструмент	Входные данные	Когда вызывать	Стоимость
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

Стоимость и лимиты

Во что обходится

Квота API: none beyond whisper/LLM provider
Токенов на вызов: ~10–30k tokens per long-form source
Деньги: free at the skill level; rendering uses your CPU/GPU
Совет: Score in one pass, then batch-render overnight to avoid UI blocking

Безопасность

Права, секреты, радиус поражения

Хранение учётных данных: none

Исходящий трафик: none — local rendering

Respect the content licensing of the source you're clipping

Устранение неполадок

Частые ошибки и исправления

Remotion render fails

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

Проверить: npx remotion --version

FFmpeg: codec not found

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

Проверить: ffmpeg -codecs | grep 264

Captions off by ~200ms

Re-run transcription with word timestamps enabled.

Альтернативы

claude-shorts в сравнении

Альтернатива	Когда использовать	Компромисс
claude-youtube-skill	You need YouTube strategy, not automated rendering	Strategy vs pipeline

Ещё

Ресурсы

📖 Читать официальный README на GitHub

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