tomoviee-video-background-music_skill

This skill generates music tailored to video content by providing API-driven soundtrack generation for video_soundtrack requests.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill tomoviee-video-background-music

  • _meta.json502 B
  • SKILL.md1.7 KB

Overview

This skill generates music tailored to video content, producing soundtracks that match mood, pacing, and style. It exposes an API for submitting a video URL, optional style prompt, and desired audio duration. The skill returns asynchronous task results with downloadable audio outputs when processing completes. It is designed for quick integration into video production workflows.

How this skill works

You submit a video URL (MP4, under 200MB) plus an optional prompt describing the desired musical style and a duration. The service creates an asynchronous task and returns a task_id; you poll the task until its status indicates completion. On success you receive JSON with one or more output audio URLs and metadata. Status codes indicate queue, processing, success, failure, cancellation, or timeout.

When to use it

  • Creating background music for product demos, explainer videos, or promos
  • Rapidly prototyping soundtrack options for edits and cuts
  • Generating mood-matching music for social clips and short-form content
  • Replacing or enhancing music beds in documentary or lifestyle footage
  • Testing different musical directions without hiring a composer

Best practices

  • Provide a concise prompt with genre, instrumentation, tempo cues, and emotional tone for better results
  • Trim or point to the most representative portion of the video if full length is unnecessary
  • Start with the default duration then request variations to iterate quickly
  • Check task status codes and implement retries for transient failures
  • Download and preview outputs before final placement; do light mastering if needed

Example use cases

  • Auto-generate a 20s modern tech soundtrack for a product demo clip using a ‘clean, minimal’ prompt
  • Produce multiple soundtrack options for a 60s social media ad and select the best fit
  • Create ambient underscore for a documentary segment with a ‘warm, cinematic’ prompt
  • Generate loopable music segments for app onboarding videos with precise tempo guidance

FAQ

Provide an MP4 video accessible via URL. Files must be under 200 MB.

How do I get the generated audio and how long does processing take?

You receive a task_id on request and poll for status. On success the returned JSON contains output audio URLs. Processing time varies by queue and video length; poll until status indicates success.

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