slug: muapi-ai-clipping

name: muapi-ai-clipping

version: "1.0.0"

description: Turn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's /ai-clipping endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe, and vertical face-tracking auto-crop server-side. No local Whisper, no local LLM, no GPU.

acceptLicenseTerms: true

AI Clipping

One API call: long video in → ranked vertical short clips out.

Each clip ships with a viral score (0–100), an opening hook line, a one-sentence "why it works" reason, and a hosted mp4 URL.

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

Reference implementation (open source): https://github.com/SamurAIGPT/AI-Youtube-Shorts-Generator

When to Use

• Auto-clip a podcast, interview, lecture, vlog, or stream into TikTok / Reels / Shorts.
• Extract the best 30–75s moments from any hosted video URL.
• Get face-tracked vertical (9:16), square (1:1), or portrait (4:5) crops without running ffmpeg locally.

If you only need raw timestamps for your own renderer, set --coords-only to skip cropping and just get the highlight ranges.

Agent Execution Protocol

Step 1 — Collect Inputs

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

Step 2 — Verify Prerequisites

• muapi-cli installed and authed (muapi auth configure)
• MUAPI_API_KEY available (env var or muapi auth status passes)

That's it. No ffmpeg, no Python, no Whisper install, no LLM keys. Everything runs server-side.

Step 3 — Run the Skill

bash library/edit/ai-clipping/scripts/run-ai-clipping.sh \
  --video "https://example.com/podcast.mp4" \
  --num-clips 5 \
  --aspect-ratio 9:16 \
  --view

The script:

1. Resolves --video to a hosted URL (uploads local files via muapi upload file if needed).
2. Calls muapi edit clipping with the supported parameters.
3. Polls until the job is done (or returns the request_id immediately under --async).
4. Prints a ranked summary and, if --output-json is set, writes the full result.

What Happens Server-Side

The /ai-clipping endpoint internally runs the full pipeline so the agent doesn't have to:

• Transcribe with Whisper.
• Classify content type (podcast / interview / tutorial / vlog / lecture / monologue).
• Rank highlights through the virality framework:
• Hook moments — strong opening line that stops the scroll
• Emotional peaks — laughter, anger, vulnerability, awe
• Opinion bombs — spicy, contrarian, debate-bait takes
• Revelation moments — "wait, what?" reframes
• Conflict — disagreement, tension, callouts
• Quotable lines — tight, screenshot-worthy phrasing
• Story peaks — climax of a narrative arc
• Practical value — actionable insight a viewer will save
• Dedupe overlapping candidates by score.
• Top-N select and face-track auto-crop to the requested aspect ratio.

This is why the skill is small: the heavy lifting is on the API.

Quick Invocation Patterns

Defaults — three 9:16 clips:

bash run-ai-clipping.sh --video "https://example.com/long.mp4"

Podcast — more clips, view in player:

bash run-ai-clipping.sh --video "<URL>" --num-clips 8 --view

Square clips for Instagram feed:

bash run-ai-clipping.sh --video "<URL>" --aspect-ratio 1:1 --num-clips 3

Just the timestamps (build your own renderer):

bash run-ai-clipping.sh --video "<URL>" --coords-only --output-json result.json

Async submit (returns request_id, poll later):

REQUEST_ID=$(bash run-ai-clipping.sh --video "<URL>" --async --output-json - | jq -r '.request_id')
muapi predict wait "$REQUEST_ID" --download ./outputs

Local file:

bash run-ai-clipping.sh --video ./recording.mp4 --num-clips 5 --view

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

xargs -a urls.txt -I{} bash run-ai-clipping.sh --video "{}"

Aspect Ratio Picker

Default to 9:16 unless the platform is specified.

Output Schema

{
  "source_video_url": "...",
  "shorts": [
    {
      "title": "The one mistake that cost me $50K",
      "start_time": 124.3,