{"slug":"muapi-youtube-shorts","title":"muapi-youtube-shorts","summary":"Auto-generate viral 9:16 YouTube Shorts (or TikTok / Reels clips) from a long-form video. Thin platform-aware wrapper around the AI Clipping skill — picks sensible defaults for short-form social platforms (9:16, 30–60s sweet spot) and delegates the actual highlight extraction + c","platform":"opencode","tags":[],"authorName":"LLM Mart","authorSlug":"llm-mart","score":0,"source":"github","price":null,"verified":false,"createdAt":"2026-09-01T17:42:37.585937Z","repo":{"url":"https://github.com/SamurAIGPT/Generative-Media-Skills","stars":4295,"forks":492,"license":"MIT","updatedAt":"2026-09-08T23:14:35Z"},"bodyHtml":"
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slug: muapi-youtube-shorts\nname: muapi-youtube-shorts\nversion: \"2.0.0\"\ndescription: Auto-generate viral 9:16 YouTube Shorts (or TikTok / Reels clips) from a long-form video. Thin platform-aware wrapper around the AI Clipping skill — picks sensible defaults for short-form social platforms (9:16, 30–60s sweet spot) and delegates the actual highlight extraction + crop to muapi.ai's /ai-clipping endpoint.\nacceptLicenseTerms: true

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YouTube Shorts Generator

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Long video → ranked vertical short clips, tuned for short-form social.

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This skill is a platform-aware preset over the AI Clipping primitive. It picks the right aspect ratio and clip count for the target platform and delegates highlight extraction, dedupe, and face-tracked auto-crop to muapi.ai's managed /ai-clipping endpoint.

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Reference implementation: https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator\nUnderlying API: https://muapi.ai/playground/ai-clipping

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When to Use This vs. AI Clipping

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Use this skill when…Use AI Clipping directly when…
Target is YouTube Shorts / TikTok / ReelsYou want full control over aspect / count
You want platform-tuned defaultsYou want raw timestamps (--coords-only)
You'd rather pass --platform tiktok than think about ratiosYou're integrating into a custom renderer
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Agent Execution Protocol

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Step 1 — Collect Inputs

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InputDefaultNotes
--source—YouTube URL, hosted mp4 URL, or local file
--platformshortsshorts | tiktok | reels | feed (sets ratio + count defaults)
--num-clipsplatform defaultOverride clip count
--aspect-ratioplatform defaultOverride aspect ratio
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If the user gave only a URL, run with platform defaults — don't block.

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Step 2 — Verify Prerequisites

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That's it. Transcription, highlight ranking, dedupe, and cropping all run server-side — no ffmpeg, no Python, no Whisper, no LLM keys needed locally.

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Step 3 — Run the Pipeline

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bash library/social/youtube-shorts/scripts/run-youtube-shorts.sh \\\n  --source \"<YOUTUBE_URL>\" \\\n  --platform shorts \\\n  --num-clips 5 \\\n  --view\n
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The script:

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  1. Resolves the source (uploads local files to muapi CDN if needed).
    2. \n
  2. Picks platform defaults if --aspect-ratio / --num-clips aren't passed.
    3. \n
  3. Calls muapi edit clipping (the /ai-clipping endpoint) with the chosen params.
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  4. Polls until done, prints a ranked summary, optionally downloads / opens clips.
    5. \n
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What Happens Server-Side

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The /ai-clipping endpoint runs the full pipeline:

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Each clip ships with score (0–100), opening hook line, and a one-sentence \"why it works\" reason.

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Platform Defaults

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PlatformFlagAspectDefault clipsNotes
YouTube Shorts--platform shorts9:163Hook in first 1s
TikTok--platform tiktok9:165Higher energy, longer ok
Instagram Reels--platform reels9:163Hook in first 1s
Instagram Feed--platform feed1:13Static-feel works well
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Override any default with --aspect-ratio / --num-clips.

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Quick Invocation Patterns

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Single video, defaults:

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bash run-youtube-shorts.sh --source \"https://youtube.com/watch?v=VIDEO_ID\"\n
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TikTok preset — 5 clips, view in player:

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bash run-youtube-shorts.sh --source \"<URL>\" --platform tiktok --view\n
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Square Instagram feed clips:

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bash run-youtube-shorts.sh --source \"<URL>\" --platform feed --num-clips 3\n
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Batch — urls.txt with one URL per line:

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xargs -a urls.txt -I{} bash run-youtube-shorts.sh --source \"{}\"\n
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Async submit (returns request_id, poll later):

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REQUEST_ID=$(bash run-youtube-shorts.sh --source \"<URL>\" --async --output-json - | jq -r '.request_id')\nmuapi predict wait \"$REQUEST_ID\" --download ./outputs\n
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Output Schema

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{\n  \"source_video_url\": \"...\",\n  \"shorts\": [\n    {\n      \"title\": \"The one mistake that cost me $50K\",\n      \"start_time\": 124.3,\n      \"end_time\": 187.6,\n      \"score\": 92,\n      \"hook_sentence\": \"Nobody talks about this, but it killed my first startup...\",\n      \"virality_reason\": \"Opens with a number + regret, peaks on a contrarian lesson\",\n      \"clip_url\": \"https://.../short_1.mp4\"\n    }\n  ]\n}\n
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When reporting back, surface for each clip: rank, score, time range, title, hook, and clip URL.

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Common Mistakes to Avoid

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  1. Wrong aspect ratio for the platform — Shorts / TikTok / Reels are 9:16. The platform preset handles this; only override if you know why.
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  2. Padding to hit --num-clips — if the API returns fewer survivors, return what you have. Don't ship low-score filler.
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  3. Re-running on a 404'd clip URL — re-fetch the same request_id with muapi predict wait <id> rather than re-clipping.
    4. \n
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Failure Modes

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Done Criteria

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The skill is done when:

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  1. result.shorts has up to num_clips entries, each with a working clip_url.
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  2. The user has been shown the ranked list (score, time range, title, hook, URL).
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  3. If --output-json was set, the file exists and parses.
    4. \n
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