muapi-youtube-shorts

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…

INSTALLATION
npx skills add https://github.com/anil-matcha/open-dots --skill muapi-youtube-shorts
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

YouTube Shorts Generator

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

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.

Reference implementation: https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator

Underlying API: https://muapi.ai/playground/ai-clipping

When to Use This vs. AI Clipping

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

Agent Execution Protocol

Step 1 — Collect Inputs

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

If the user gave only a URL, run with platform defaults — don't block.

Step 2 — Verify Prerequisites

  • muapi-cli installed and authed (muapi auth configure)
  • MUAPI_API_KEY available

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

Step 3 — Run the Pipeline

bash library/social/youtube-shorts/scripts/run-youtube-shorts.sh \

  --source "<YOUTUBE_URL>" \

  --platform shorts \

  --num-clips 5 \

  --view

The script:

  • Resolves the source (uploads local files to muapi CDN if needed).
  • Picks platform defaults if --aspect-ratio / --num-clips aren't passed.
  • Calls muapi edit clipping (the /ai-clipping endpoint) with the chosen params.
  • Polls until done, prints a ranked summary, optionally downloads / opens clips.

What Happens Server-Side

The /ai-clipping endpoint runs the full pipeline:

  • Transcribes the audio.
  • Ranks highlights through a virality framework — hook moments, emotional peaks, opinion bombs, revelation moments, conflict, quotable lines, story peaks, practical value.
  • Dedupes overlapping candidates by score.
  • Top-N selects and face-tracks vertical crops.

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

Platform Defaults

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

Override any default with --aspect-ratio / --num-clips.

Quick Invocation Patterns

Single video, defaults:

bash run-youtube-shorts.sh --source "https://youtube.com/watch?v=VIDEO_ID"

TikTok preset — 5 clips, view in player:

bash run-youtube-shorts.sh --source "<URL>" --platform tiktok --view

Square Instagram feed clips:

bash run-youtube-shorts.sh --source "<URL>" --platform feed --num-clips 3

**Batch — urls.txt with one URL per line:**

xargs -a urls.txt -I{} bash run-youtube-shorts.sh --source "{}"

Async submit (returns request_id, poll later):

REQUEST_ID=$(bash run-youtube-shorts.sh --source "<URL>" --async --output-json - | jq -r '.request_id')

muapi predict wait "$REQUEST_ID" --download ./outputs

Output Schema

{

  "source_video_url": "...",

  "shorts": [

    {

      "title": "The one mistake that cost me $50K",

      "start_time": 124.3,

      "end_time": 187.6,

      "score": 92,

      "hook_sentence": "Nobody talks about this, but it killed my first startup...",

      "virality_reason": "Opens with a number + regret, peaks on a contrarian lesson",

      "clip_url": "https://.../short_1.mp4"

    }

  ]

}

When reporting back, surface for each clip: rank, score, time range, title, hook, and clip URL.

Common Mistakes to Avoid

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

Failure Modes

  • API key missing or rejected — surface the error; don't fabricate a key.
  • Job timed out — bump --poll-timeout and retry.
  • Source URL not reachable — upload the file via muapi upload file and pass the returned URL.
  • Fewer clips returned than requested — source had fewer rankable highlights. Return what came back with a note.

Done Criteria

The skill is done when:

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