--- slug: muapi-youtube-shorts name: muapi-youtube-shorts version: "2.0.0" description: 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. acceptLicenseTerms: true --- # 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](../../edit/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](../../edit/ai-clipping/) directly when… | |:---|:---| | Target is YouTube Shorts / TikTok / Reels | You want full control over aspect / count | | You want platform-tuned defaults | You want raw timestamps (`--coords-only`) | | You'd rather pass `--platform tiktok` than think about ratios | You're integrating into a custom renderer | --- ## Agent Execution Protocol ### Step 1 — Collect Inputs | Input | Default | Notes | |:---|:---|:---| | `--source` | — | YouTube URL, hosted mp4 URL, or local file | | `--platform` | `shorts` | `shorts` \| `tiktok` \| `reels` \| `feed` (sets ratio + count defaults) | | `--num-clips` | platform default | Override clip count | | `--aspect-ratio` | platform default | Override 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 bash library/social/youtube-shorts/scripts/run-youtube-shorts.sh \ --source "" \ --platform shorts \ --num-clips 5 \ --view ``` The script: 1. Resolves the source (uploads local files to muapi CDN if needed). 2. Picks platform defaults if `--aspect-ratio` / `--num-clips` aren't passed. 3. Calls `muapi edit clipping` (the `/ai-clipping` endpoint) with the chosen params. 4. 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 | Platform | Flag | Aspect | Default clips | Notes | |:---|:---|:---|:---|:---| | YouTube Shorts | `--platform shorts` | `9:16` | 3 | Hook in first 1s | | TikTok | `--platform tiktok` | `9:16` | 5 | Higher energy, longer ok | | Instagram Reels | `--platform reels` | `9:16` | 3 | Hook in first 1s | | Instagram Feed | `--platform feed` | `1:1` | 3 | Static-feel works well | Override any default with `--aspect-ratio` / `--num-clips`. --- ## Quick Invocation Patterns **Single video, defaults:** ```bash bash run-youtube-shorts.sh --source "https://youtube.com/watch?v=VIDEO_ID" ``` **TikTok preset — 5 clips, view in player:** ```bash bash run-youtube-shorts.sh --source "" --platform tiktok --view ``` **Square Instagram feed clips:** ```bash bash run-youtube-shorts.sh --source "" --platform feed --num-clips 3 ``` **Batch — `urls.txt` with one URL per line:** ```bash xargs -a urls.txt -I{} bash run-youtube-shorts.sh --source "{}" ``` **Async submit (returns request_id, poll later):** ```bash REQUEST_ID=$(bash run-youtube-shorts.sh --source "" --async --output-json - | jq -r '.request_id') muapi predict wait "$REQUEST_ID" --download ./outputs ``` --- ## Output Schema ```json { "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 1. **Wrong aspect ratio for the platform** — Shorts / TikTok / Reels are `9:16`. The platform preset handles this; only override if you know why. 2. **Padding to hit `--num-clips`** — if the API returns fewer survivors, return what you have. Don't ship low-score filler. 3. **Re-running on a 404'd clip URL** — re-fetch the same `request_id` with `muapi predict wait ` 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: 1. `result.shorts` has up to `num_clips` entries, each with a working `clip_url`. 2. The user has been shown the ranked list (score, time range, title, hook, URL). 3. If `--output-json` was set, the file exists and parses.