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demo-video

Assemble ordered frames or clips with narration and optional synchronized scene transitions into an MP4 via FFmpeg

インストール方法を見る

含まれるファイル(15)

  • SKILL.md6.5 KB
  • examples/README.md1.1 KB
  • examples/segments.yml341 B
  • pyproject.toml491 B
  • scripts/assemble_video.py24.5 KB
  • scripts/assemble-video.sh1.1 KB
  • scripts/Invoke-AssembleVideo.ps13.2 KB
  • tests/corpus/empty-segments.yml13 B
  • tests/corpus/unknown-key.yml73 B
  • tests/corpus/valid-manifest.yml177 B
  • tests/fuzz_harness.py2.6 KB
  • tests/Invoke-AssembleVideo.Tests.ps11.7 KB
  • tests/test_assemble_video_integrity.py11.7 KB
  • tests/test_assemble_video.py22.2 KB
  • uv.lock67.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Demo Video Assembly Skill

This skill assembles a narrated demo video from ordered visual segments and matching narration audio. It is designed for first-pass walkthrough videos that combine captured prototype frames or clips with per-segment voiceover WAV files.

Overview

The workflow takes a manifest that describes each segment, resolves the visual source, and uses FFmpeg to render each segment into a normalized video clip before assembling the final MP4. It supports hard cuts by default or optional synchronized video and audio fades. The narration track is muxed from WAV files so the output can be reviewed without a separate video-editing tool.

Manifest Schema

Use a segments.yml manifest with optional top-level output settings and an ordered list of segments. Each entry describes a visual source and the narration audio to combine for that portion of the video. All paths resolve relative to the manifest file.

output: ./output/demo.mp4   # optional; destination path for the assembled MP4
resolution: 1280x720        # optional; default 1280x720
fps: 24                     # optional; default 24
transition:                 # optional; omit for hard cuts
  type: crossfade
  duration: 0.5
  fade_in: true
  fade_out: true
segments:
  - type: frame
    visual: ./frames/intro.png
    narration: ./audio/intro.wav
    duration: 4.5
  - type: clip
    clip: ./clips/interaction.mp4
    narration: ./audio/interaction.wav

Top-level fields

  • output sets the destination path for the assembled MP4, resolved relative to the manifest; the --output or -OutputPath argument overrides it when supplied
  • resolution controls the output width and height in WIDTHxHEIGHT form (default 1280x720); the --resolution or -Resolution argument overrides it
  • fps sets the frame rate applied when rendering each segment (default 24); the --fps or -Fps argument overrides it
  • transition enables synchronized scene and narration fades; omit it or set it to none to retain hard cuts

Transition fields

  • type accepts crossfade or fade, which both select FFmpeg's fade cross-transition
  • duration sets every opening, scene, audio, and closing fade in seconds (default 0.5)
  • fade_in controls the opening video and audio fade (default true)
  • fade_out controls the closing video and audio fade (default true)

The assembler adds silent handles around speech and holds the matching endpoint pictures. Crossfades overlap those handles, not adjacent spoken instructions; do not pre-pad narration to compensate. The normalized segments must exceed twice the transition duration. Output duration is the sum of unpadded narration durations plus one transition duration per scene boundary and per enabled opening/closing fade. With transitions disabled, no handles are added.

Segment fields

  • type identifies whether the segment is a still image (frame) or a motion clip (clip)
  • visual points to an image file for a frame segment
  • clip points to a motion clip file for a clip segment
  • narration points to the WAV file generated from narration text (the script also accepts narration_wav as an alias)
  • duration is optional and overrides the inferred duration when you want a fixed segment length

Quick Start

Use the bash or PowerShell wrappers to invoke the assembler from the skill directory.

scripts/assemble-video.sh --manifest examples/segments.yml --output ./output/demo.mp4
scripts/Invoke-AssembleVideo.ps1 -ManifestPath examples/segments.yml -OutputPath ./output/demo.mp4

Parameters Reference

The assembly step accepts the following high-level controls:

  • --manifest or -ManifestPath selects the YAML manifest to process
  • --output or -OutputPath sets the destination MP4 path
  • --fps or -Fps controls the output frame rate for rendered segments
  • --resolution or -Resolution controls the output width and height in the form WIDTHxHEIGHT
  • --timeout or -TimeoutSeconds sets the maximum seconds for each ffprobe or ffmpeg invocation (1-86400, default 600); a timed-out step stops the run with an error that names the step
  • duration per segment lets you override the inferred length when narration timing is known in advance

Failure Behavior

The assembled MP4 is written to a temporary file next to the destination and moved into place only after FFmpeg succeeds. A failed, timed-out, interrupted, or invalid transition run leaves no partial MP4 at the output path and keeps any existing file there unchanged. A successful run replaces an existing file at the output path. Temporary segment files are always removed.

Narration Quality

Narration quality is the single biggest driver of how polished the final video feels. Prioritize neural voices from Azure AI Speech (part of Azure AI Foundry) through the tts-voiceover skill for any video you intend to share.

  • Recommended: Use the tts-voiceover skill backed by Azure AI Speech neural voices (for example en-US-Andrew:DragonHDLatestNeural or en-US-Jenny:DragonHDLatestNeural). These produce natural, presentation-grade narration and are the default for shareable output.
  • Offline alternative: The tts-voiceover skill's --engine piper option remains available for explicitly selected local narration. It needs no credentials or network access after setup. HVE demo-material CI uses neither speech engine and publishes silent videos; internal silent timing tracks are removed during finalization.

See the tts-voiceover skill for the neural voice catalog, --voice and --rate controls, Azure authentication (Entra ID or key), and Piper setup.

Reuse Bridge

This skill is intentionally designed to fit into the existing media workflow:

  • tts-voiceover provides the narration WAV files that this skill muxes into the final output; prefer its Azure AI Speech neural voices for production-quality narration
  • vscode-playwright provides the frame-capture source for prototype walkthroughs and screen-based demos

Prerequisites

FFmpeg and ffprobe must be available on your PATH.

Linux

sudo apt update && sudo apt install ffmpeg

macOS

brew install ffmpeg

Windows

winget install FFmpeg.FFmpeg

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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